import urllib
import urlparse
+if not 'DJANGO_SETTINGS_MODULE' in os.environ:
+ os.environ['DJANGO_SETTINGS_MODULE'] = 'htsworkflow.settings'
+
from htsworkflow.submission import daf, ucsc
from htsworkflow.util import api
load_encodedcc_files(model, **track_info )
if opts.sparql is not None:
- sparql_query(model, opts.sparql)
+ sparql_query(model, opts.sparql, 'html')
if opts.find_submission_with_no_library:
report_submissions_with_no_library(model)
def load_my_submissions(model, limit=None, cookie=None):
- """Parse all the submissions from UCSC into model
+ """Parse all of my submissions from encodesubmit into model
It will look at the global USER_URL to figure out who to scrape
cookie contains the session cookie, if none, will attempt to login
"""
SELECT distinct ?liburn ?cell ?replicate ?subid ?name ?submission_date
WHERE {
- ?subid ucscSubmission:name ?name .
- OPTIONAL { ?subid ucscSubmission:library_urn ?liburn ;
- libraryOntology:date ?submission_date .
- ?liburn libraryOntology:cell_line ?cell ;
- libraryOntology:replicate ?replicate . }
+ ?subid ucscSubmission:name ?name ;
+ ucscSubmission:library_urn ?liburn ;
+ libraryOntology:date ?submission_date.
+ ?liburn libraryOntology:cell_line ?cell ;
+ libraryOntology:replicate ?replicate ;
+ libraryOntology:species ?species .
+ OPTIONAL { ?liburn libraryOntology:treatement ?treatment . }
+ FILTER(regex(?species, "Homo sapiens", "i"))
#filter(?submission_date > "2011-04-01T00:00:00Z"^^xsd:dateTime)
#filter(!bound(?liburn))
}
-ORDER BY ?submission_date ?cell ?replicate ?liburn
+ORDER BY ?cell ?replicate ?liburn ?submission_date
logger = logging.getLogger('ucsc_gather')
+TAR = '/bin/tar'
+LFTP = '/usr/bin/lftp'
+
def main(cmdline=None):
parser = make_parser()
opts, args = parser.parse_args(cmdline)
submission_uri = None
+ global TAR
+ global LFTP
+ TAR = opts.tar
+ LFTP = opts.lftp
+
if opts.debug:
logging.basicConfig(level = logging.DEBUG )
elif opts.verbose:
model = get_model(opts.model, opts.db_path)
mapper = None
if opts.name:
- mapper = UCSCSubmssion(opts.name, opts.daf, model)
+ mapper = UCSCSubmission(opts.name, opts.daf, model)
if opts.library_url is not None:
mapper.library_url = opts.library_url
submission_uri = get_submission_uri(opts.name)
mapper.scan_submission_dirs(results)
if opts.make_ddf:
+ if not os.path.exists(TAR):
+ parser.error("%s does not exist, please specify --tar" % (TAR,))
+ if not os.path.exists(LFTP):
+ parser.error("%s does not exist, please specify --lftp" % (LFTP,))
make_all_ddfs(mapper, results, opts.daf, force=opts.force)
if opts.zip_ddf:
model.add_option('--sparql', default=None, help="execute sparql query")
model.add_option('--print-rdf', action="store_true", default=False,
help="print ending model state")
+ model.add_option('--tar', default=TAR,
+ help="override path to tar command")
+ model.add_option('--lftp', default=LFTP,
+ help="override path to lftp command")
parser.add_option_group(model)
# commands
commands = OptionGroup(parser, 'commands')
def make_all_ddfs(view_map, library_result_map, daf_name, make_condor=True, force=False):
dag_fragment = []
- for lib_id, result_dir in library_result_map:
+ for lib_id, result_dir in library_result_map.items():
submissionNode = view_map.get_submission_node(result_dir)
dag_fragment.extend(
make_ddf(view_map, submissionNode, daf_name, make_condor, result_dir)
def make_condor_archive_script(name, files, outdir=None):
script = """Universe = vanilla
-Executable = /bin/tar
+Executable = %(tar)s
arguments = czvhf ../%(archivename)s %(filelist)s
Error = compress.out.$(Process).log
context = {'archivename': make_submission_name(name),
'filelist': " ".join(files),
'initialdir': os.path.abspath(outdir),
- 'user': os.getlogin()}
+ 'user': os.getlogin(),
+ 'tar': TAR}
condor_script = os.path.join(outdir, make_condor_name(name, 'archive'))
condor_stream = open(condor_script,'w')
return condor_script
-def make_condor_upload_script(name, outdir=None):
+def make_condor_upload_script(name, lftp, outdir=None):
script = """Universe = vanilla
-Executable = /usr/bin/lftp
-arguments = -c put ../%(archivename)s -o ftp://%(ftpuser)s:%(ftppassword)s@%(ftphost)s/%(archivename)s
+Executable = %(lftp)s
+arguments = -c put %(archivename)s -o ftp://%(ftpuser)s:%(ftppassword)s@%(ftphost)s/%(archivename)s
Error = upload.out.$(Process).log
Output = upload.out.$(Process).log
'user': os.getlogin(),
'ftpuser': ftpuser,
'ftppassword': ftppassword,
- 'ftphost': encodeftp}
+ 'ftphost': encodeftp,
+ 'lftp': LFTP}
condor_script = os.path.join(outdir, make_condor_name(name, 'upload'))
condor_stream = open(condor_script,'w')
class FileTypeAdmin(admin.ModelAdmin):
list_display = ('name', 'mimetype', 'regex')
admin.site.register(FileType, FileTypeAdmin)
-
+
# lane form setup needs to come before Flowcell form config
# as flowcell refers to the LaneInline class
class LaneForm(ModelForm):
comment = CharField(widget=TextInput(attrs={'size':'80'}), required=False)
-
+
class Meta:
model = Lane
}),
)
admin.site.register(Lane, LaneOptions)
-
+
class FlowCellOptions(admin.ModelAdmin):
date_hierarchy = "run_date"
save_on_top = True
admin.site.register(ClusterStation, ClusterStationOptions)
class SequencerOptions(admin.ModelAdmin):
- list_display = ('name', )
- fieldsets = ( ( None, { 'fields': ( 'name', ) } ), )
+ list_display = ('name', 'instrument_name', 'model')
+ fieldsets = ( ( None,
+ { 'fields': (
+ 'name', 'instrument_name', 'serial_number',
+ 'model', 'comment') } ), )
admin.site.register(Sequencer, SequencerOptions)
"name": "QSEQ tarfile",
"regex": ".*_l(?P<lane>[1-8])_r(?P<end>[1-4])\\.tar\\.bz2\\Z(?ms)"
}
+ },
+ { "model": "experiments.Sequencer",
+ "pk": 1,
+ "fields": {
+ "name": "Rotifer",
+ "instrument_name": "ILLUMINA-33A494",
+ "serial_number": "",
+ "model": "Illumina Genome Analyzer II",
+ "comment": "after 2010 pipeline name, was exchanged for hiseq"
+ }
+ },
+ { "model": "experiments.Sequencer",
+ "pk": 2,
+ "fields": {
+ "name": "Tardigrade",
+ "instrument_name": "ILLUMINA-EC5D15",
+ "serial_number": "",
+ "model": "Illumina Genome Analyzer IIx",
+ "comment": "after 2010 pipeline name"
+ }
+ },
+ { "model": "experiments.Sequencer",
+ "pk": 3,
+ "fields": {
+ "name": "Elsewhere",
+ "instrument_name": "",
+ "serial_number": "",
+ "model": "Unknown",
+ "comment": "Sequenced somewhere else"
+ }
+ },
+ { "model": "experiments.Sequencer",
+ "pk": 4,
+ "fields": {
+ "name": "Volvox",
+ "instrument_name": "HWI-ST0787",
+ "serial_number": "",
+ "model": "Illumina HiSeq 2000",
+ "comment": ""
+ }
+ },
+ { "model": "experiments.Sequencer",
+ "pk": 5,
+ "fields": {
+ "name": "Tardigrade (older)",
+ "instrument_name": "HWUSI-EAS627",
+ "serial_number": "",
+ "model": "Illumina Genome Analyzer II",
+ "comment": "earlier version of tardigrade"
+ }
+ },
+ { "model": "experiments.Sequencer",
+ "pk": 6,
+ "fields": {
+ "name": "Rotifer (older)",
+ "instrument_name": "HWUSI-EAS229",
+ "serial_number": "",
+ "model": "Illumina Genome Analyzer II",
+ "comment": "earlier rotifer name"
+ }
+ },
+ { "model": "experiments.Sequencer",
+ "pk": 7,
+ "fields": {
+ "name": "First sequencer",
+ "instrument_name": "USI-EAS44",
+ "serial_number": "",
+ "model": "Illumina Genome Analyzer I",
+ "comment": "our first sequencer"
+ }
}
-
]
\ No newline at end of file
{"pk": 1, "model": "experiments.clusterstation", "fields": {"name": "old"}},
{"pk": 2, "model": "experiments.clusterstation", "fields": {"name": "loaner"}},
{"pk": 3, "model": "experiments.clusterstation", "fields": {"name": "new"}},
- {"pk": 1, "model": "experiments.sequencer", "fields": {"name": "Rotifer (HWI-EAS229)"}},
- {"pk": 2, "model": "experiments.sequencer", "fields": {"name": "Tardigrade"}},
+ {"pk": 1, "model": "experiments.sequencer",
+ "fields": { "name": "Rotifer (HWI-EAS229)" }},
+ {"pk": 2, "model": "experiments.sequencer",
+ "fields": {"name": "Tardigrade",
+ "instrument_name": "ILLUMINA-EC5D15",
+ "model": "Illumina Genome Analyzer IIx"}
+ },
{"pk": 3, "model": "experiments.sequencer", "fields": {"name": "Sequenced somewhere else."}},
{"pk": 153, "model": "experiments.flowcell",
"fields": {
return unicode(self.name)
class Sequencer(models.Model):
- name = models.CharField(max_length=50, unique=True)
+ name = models.CharField(max_length=50, db_index=True)
+ instrument_name = models.CharField(max_length=50, db_index=True)
+ serial_number = models.CharField(max_length=50, db_index=True)
+ model = models.CharField(max_length=255)
+ comment = models.CharField(max_length=255)
def __unicode__(self):
- return unicode(self.name)
+ name = [unicode(self.name)]
+ if self.instrument_name is not None:
+ name.append("(%s)" % (unicode(self.instrument_name),))
+ return " ".join(name)
+
+ @models.permalink
+ def get_absolute_url(self):
+ return ('htsworkflow.frontend.experiments.views.sequencer',
+ [self.id])
+
class FlowCell(models.Model):
flowcell_id = models.CharField(max_length=20, unique=True, db_index=True)
"""Convert a list of lane entries into a dictionary indexed by library ID
"""
return dict( ((x['library_id'],x) for x in lane) )
+
+class TestSequencer(TestCase):
+ fixtures = ['test_flowcells.json',
+ ]
+
+ def test_name_generation(self):
+ seq = models.Sequencer()
+ seq.name = "Seq1"
+ seq.instrument_name = "HWI-SEQ1"
+ seq.model = "Imaginary 5000"
+
+ self.failUnlessEqual(unicode(seq), "Seq1 (HWI-SEQ1)")
+
+ def test_lookup(self):
+ fc = models.FlowCell.objects.get(pk=153)
+ self.failUnlessEqual(fc.sequencer.model,
+ "Illumina Genome Analyzer IIx")
+ self.failUnlessEqual(fc.sequencer.instrument_name,
+ "ILLUMINA-EC5D15")
+
+ def test_rdf(self):
+ response = self.client.get('/flowcell/FC12150/', apidata)
+ tree = fromstring(response.content)
+ divs = tree.xpath('//div[@rel="libns:sequenced_by"]',
+ namespaces=NSMAP)
+ self.failUnlessEqual(len(divs), 1)
+ self.failUnlessEqual(divs[0].attrib['rel'], 'libns:sequenced_by')
+ self.failUnlessEqual(divs[0].attrib['resource'], '/sequencer/2')
+
+ name = divs[0].xpath('./span[@property="libns:sequencer_name"]')
+ self.failUnlessEqual(len(name), 1)
+ self.failUnlessEqual(name[0].text, 'Tardigrade')
+ instrument = divs[0].xpath(
+ './span[@property="libns:sequencer_instrument"]')
+ self.failUnlessEqual(len(instrument), 1)
+ self.failUnlessEqual(instrument[0].text, 'ILLUMINA-EC5D15')
+ model = divs[0].xpath(
+ './span[@property="libns:sequencer_model"]')
+ self.failUnlessEqual(len(model), 1)
+ self.failUnlessEqual(model[0].text, 'Illumina Genome Analyzer IIx')
DataRun, \
DataFile, \
FlowCell, \
- Lane
+ Lane, \
+ Sequencer
from htsworkflow.frontend.experiments.experiments import \
estimateFlowcellDuration, \
estimateFlowcellTimeRemaining, \
#c = Context({
# 'data_run_list': all_runs,
#})
- #return HttpResponse(t.render(c))
+ #return HttpResponse(t.render(c))
# shortcut to the above module usage
- return render_to_response('experiments/index.html',{'data_run_list': all_runs})
-
+ return render_to_response('experiments/index.html',{'data_run_list': all_runs})
+
def detail(request, run_folder):
html_str = '<h2>Exp Track Details Page</h2>'
html_str += 'Run Folder: '+run_folder
if user.email is None or len(user.email) == 0:
warnings.append((user.admin_url(), user.username))
user=None
-
+
for user_email in email_lane.keys():
sending = ""
# build body
u'runfolder': 'blank',
u'finish_low': estimate_low,
u'finish_high': estimate_high,
- u'now': datetime.now(),
+ u'now': datetime.now(),
})
# build view
'warnings': warnings,
})
return HttpResponse(email_verify.render(verify_context))
-
+
def finishedEmail(request, pk):
"""
"""
fc = get_object_or_404(FlowCell, flowcell_id__startswith=flowcell_id)
fc.update_data_runs()
-
+
if lane_number is not None:
lanes = fc.lane_set.filter(lane_number=lane_number)
else:
context = RequestContext(request,
{'flowcell': fc,
'lanes': lanes})
-
+
return render_to_response('experiments/flowcell_detail.html',
context)
dataruns = []
for run in lane.flowcell.datarun_set.all():
dataruns.append((run, lane.lane_number, run.lane_files()[lane.lane_number]))
-
+
context = RequestContext(request,
{'lib': lane.library,
'lane': lane,
'flowcell': lane.flowcell,
'filtered_dataruns': dataruns})
-
+
return render_to_response('experiments/flowcell_lane_detail.html',
context)
"""Return the contents of filename if everything is approved
"""
data_file = get_object_or_404(DataFile, random_key = key)
-
+
mimetype = 'application/octet-stream'
if data_file.file_type.mimetype is not None:
mimetype = data_file.file_type.mimetype
mimetype=mimetype)
raise Http404
-
-
+
+
+def sequencer(request, sequencer_id):
+ sequencer = get_object_or_404(Sequencer, id=sequencer_id)
+ context = RequestContext(request,
+ {'sequencer': sequencer})
+ return render_to_response('experiments/sequencer.html', context)
"model": "samples.Cellline",
"pk": 2,
"fields": {
- "cellline_name": "C2C12 Exponential",
+ "cellline_name": "C2C12",
"notes": ""
}
},
<b>Flowcell</b>:
<a href="{{flowcell.get_absolute_url}}" property="libns:flowcell_id">{{flowcell.flowcell_id}}</a>{% if user.is_staff %}<a href="{{flowcell.get_admin_url}}"><img class="icon_button" src="/media/img/admin/icon_changelink.gif" alt="Edit"/></a>{% endif%}
<br property="rdf:type" content="libns:illumina_flowcell"/>
+ <div rel="libns:sequenced_by"
+ resource="{{flowcell.sequencer.get_absolute_url}}">
+ <b>Instrument</b>:
+ <span property="libns:sequencer_name">{{ flowcell.sequencer.name }}</span>
+ {% if flowcell.sequencer.instrument_name %}
+ (<span property="libns:sequencer_instrument">{{ flowcell.sequencer.instrument_name}}</span>)
+ {% endif %}
+ <br/>
+ <b>Instrument Model</b>:
+ <span property="libns:sequencer_model">{{flowcell.sequencer.model}}</span>
+ <br/>
+ </div>
<b>Run Date</b>:
<span property="libns:date" content="{{flowcell.run_date|date:'Y-m-d\TH:i:s'}}" datatype="xsd:dateTime">{{ flowcell.run_date }}</span><br/>
<b>Type</b>:
--- /dev/null
+{% extends "base_site.html" %}
+{% load adminmedia humanize i18n %}
+{% block extrahead %}
+ <!-- App Stuff -->
+ <link type="text/css" rel="stylesheet" href="/static/css/app.css" />
+ <script type="text/javascript" src="/static/js/jquery.min.js"></script>
+
+ {% block additional_javascript %}
+ {% endblock %}
+{% endblock %}
+
+{% block content %}
+ <h1>Sequencer</h1>
+ <dl about="{{sequencer.get_absolute_url}}" typeof="libns:sequencer">
+ <dt>Name</dt>
+ <dl property="libns:sequencer_name">{{sequencer.name}}</dl>
+ <dt>Instrument Name</dt>
+ <dl property="libns:insrument_name">{{sequencer.instrument_name}}</dl>
+ <dt>Model</dt>
+ <dl property="libns:model">{{sequencer.model}}</dl>
+ <dt>Comment</dt>
+ <dl></dl>
+ </dl>
+{% endblock %}
'htsworkflow.frontend.samples.views.library_id_to_admin_url'),
# sample / library information
(r'^samples/', include('htsworkflow.frontend.samples.urls')),
+ (r'^sequencer/(?P<sequencer_id>\w+)',
+ 'htsworkflow.frontend.experiments.views.sequencer'),
# Raw result files
(r'^results/(?P<flowcell_id>\w+)/(?P<cnm>C[0-9]+-[0-9]+)/summary/',
'htsworkflow.frontend.samples.views.summaryhtm_fc_cnm'),
BUSTARD_CONFIG = 'BaseCallAnalysis'
def __init__(self, xml=None):
- self.version = None
+ self._path_version = None # version number from directory name
self.date = None
self.user = None
self.phasing = {}
if xml is not None:
self.set_elements(xml)
+ def update_attributes_from_pathname(self):
+ """Update version, date, user from bustard directory names
+ Obviously this wont work for BaseCalls or later runfolders
+ """
+ if self.pathname is None:
+ raise ValueError(
+ "Set pathname before calling update_attributes_from_pathname")
+ path, name = os.path.split(self.pathname)
+
+ if not re.match('bustard', name, re.IGNORECASE):
+ return
+
+ groups = name.split("_")
+ version = re.search(VERSION_RE, groups[0])
+ self._path_version = version.group(1)
+ t = time.strptime(groups[1], EUROPEAN_STRPTIME)
+ self.date = date(*t[0:3])
+ self.user = groups[2]
+
+ def _get_software_version(self):
+ """return software name, version tuple"""
+ if self.bustard_config is None:
+ if self._path_version is not None:
+ return 'Bustard', self._path_version
+ else:
+ return None
+ software_nodes = self.bustard_config.xpath('Run/Software')
+ if len(software_nodes) == 0:
+ return None
+ elif len(software_nodes) > 1:
+ raise RuntimeError("Too many software XML elements for bustard.py")
+ else:
+ return (software_nodes[0].attrib['Name'],
+ software_nodes[0].attrib['Version'])
+
+ def _get_software(self):
+ """Return software name"""
+ software_version = self._get_software_version()
+ return software_version[0] if software_version is not None else None
+ software = property(_get_software)
+
+ def _get_version(self):
+ """Return software name"""
+ software_version = self._get_software_version()
+ return software_version[1] if software_version is not None else None
+ version = property(_get_version)
+
+
def _get_time(self):
if self.date is None:
return None
LOGGER.warn('Bustard XML tree is a higher version than this class')
for element in list(tree):
if element.tag == Bustard.SOFTWARE_VERSION:
- self.version = element.text
+ self._path_version = element.text
elif element.tag == Bustard.DATE:
self.date = date.fromtimestamp(float(element.text))
elif element.tag == Bustard.USER:
:Return:
Fully initialized Bustard object.
"""
- b = Bustard()
pathname = os.path.abspath(pathname)
+ bustard_filename = os.path.join(pathname, 'config.xml')
+ demultiplexed_filename = os.path.join(pathname,
+ 'DemultiplexedBustardConfig.xml')
+
+ if os.path.exists(demultiplexed_filename):
+ b = bustard_from_hiseq(pathname, demultiplexed_filename)
+ elif os.path.exists(bustard_filename):
+ b = bustard_from_ga2(pathname, bustard_filename)
+ else:
+ b = bustard_from_ga1(pathname)
+
+ return b
+
+def bustard_from_ga1(pathname):
+ """Initialize bustard class from ga1 era runfolders.
+ """
path, name = os.path.split(pathname)
+
groups = name.split("_")
- if groups[0].lower().startswith('bustard'):
- version = re.search(VERSION_RE, groups[0])
- b.version = version.group(1)
- t = time.strptime(groups[1], EUROPEAN_STRPTIME)
- b.date = date(*t[0:3])
- b.user = groups[2]
- elif groups[0] == 'BaseCalls':
- # stub values
- b.version = None
- b.date = None
- b.user = None
+ if len(groups) < 3:
+ msg = "Not enough information to create attributes"\
+ " from directory name: %s"
+ LOGGER.error(msg % (self.pathname,))
+ return None
+ b = Bustard()
b.pathname = pathname
- bustard_config_filename = os.path.join(pathname, 'config.xml')
- paramfiles = glob(os.path.join(pathname, "params?.xml"))
- for paramfile in paramfiles:
- phasing = Phasing(paramfile)
- assert (phasing.lane >= 1 and phasing.lane <= 8)
- b.phasing[phasing.lane] = phasing
+ b.update_attributes_from_pathname()
+ version = re.search(VERSION_RE, groups[0])
+ b._path_version = version.group(1)
+ t = time.strptime(groups[1], EUROPEAN_STRPTIME)
+ b.date = date(*t[0:3])
+ b.user = groups[2]
+
# I only found these in Bustard1.9.5/1.9.6 directories
if b.version in ('1.9.5', '1.9.6'):
# at least for our runfolders for 1.9.5 and 1.9.6 matrix[1-8].txt are always the same
crosstalk_file = os.path.join(pathname, "matrix1.txt")
b.crosstalk = CrosstalkMatrix(crosstalk_file)
+
+ add_phasing(b)
+ return b
+
+
+def bustard_from_ga2(pathname, config_filename):
+ """Initialize bustard class from ga2-era runfolder
+ Actually I don't quite remember if it is exactly the GA2s, but
+ its after the original runfolder style and before the HiSeq.
+ """
# for version 1.3.2 of the pipeline the bustard version number went down
# to match the rest of the pipeline. However there's now a nifty
# new (useful) bustard config file.
- elif os.path.exists(bustard_config_filename):
- bustard_config_root = ElementTree.parse(bustard_config_filename)
- b.bustard_config = bustard_config_root.getroot()
- b.crosstalk = crosstalk_matrix_from_bustard_config(b.pathname, b.bustard_config)
- software = bustard_config_root.find('*/Software')
- b.version = software.attrib['Version']
- #b.version = software.attrib['Name'] + "-" + software.attrib['Version']
+ # stub values
+ b = Bustard()
+ b.pathname = pathname
+ b.update_attributes_from_pathname()
+ bustard_config_root = ElementTree.parse(config_filename)
+ b.bustard_config = bustard_config_root.getroot()
+ b.crosstalk = crosstalk_matrix_from_bustard_config(b.pathname,
+ b.bustard_config)
+ add_phasing(b)
+
+ return b
+
+def bustard_from_hiseq(pathname, config_filename):
+ b = Bustard()
+ b.pathname = pathname
+ bustard_config_root = ElementTree.parse(config_filename)
+ b.bustard_config = bustard_config_root.getroot()
+ add_phasing(b)
return b
+def add_phasing(bustard_obj):
+ paramfiles = glob(os.path.join(bustard_obj.pathname,
+ "params?.xml"))
+ for paramfile in paramfiles:
+ phasing = Phasing(paramfile)
+ assert (phasing.lane >= 1 and phasing.lane <= 8)
+ bustard_obj.phasing[phasing.lane] = phasing
+
def fromxml(tree):
"""
Reconstruct a htsworkflow.pipelines.Bustard object from an xml block
if os.stat(self.pathname)[stat.ST_SIZE] == 0:
raise RuntimeError("Eland isn't done, try again later.")
- LOGGER.info("summarizing results for %s" % (self.pathname))
+ LOGGER.debug("summarizing results for %s" % (self.pathname))
stream = autoopen(self.pathname, 'r')
if self.eland_type == ELAND_SINGLE:
full_lane_id = "%d_%d" % ( lane_id, end )
basename = pattern % (full_lane_id,)
- LOGGER.info("Eland pattern: %s" %(basename,))
+ LOGGER.debug("Eland pattern: %s" %(basename,))
pathname = os.path.join(basedir, basename)
if os.path.exists(pathname):
LOGGER.info('found eland file in %s' % (pathname,))
if xml is not None:
self.set_elements(xml)
+ def _get_software(self):
+ return "Firecrest"
+ software = property(_get_software)
+
def _get_time(self):
return time.mktime(self.date.timetuple())
time = property(_get_time, doc='return run time as seconds since epoch')
from datetime import datetime, date
import logging
import os
+import re
+import stat
import time
-from htsworkflow.pipelines.summary import Summary
+from htsworkflow.pipelines.summary import Summary, SummaryGA, SummaryHiSeq
from htsworkflow.pipelines.eland import eland, ELAND
from htsworkflow.pipelines.runfolder import \
LOGGER = logging.getLogger(__name__)
-class Gerald(object):
+class Alignment(object):
"""
Capture meaning out of the GERALD directory
"""
XML_VERSION = 1
- GERALD='Gerald'
RUN_PARAMETERS='RunParameters'
SUMMARY='Summary'
- class LaneParameters(object):
- """
- Make it easy to access elements of LaneSpecificRunParameters from python
- """
- def __init__(self, gerald, lane_id):
- self._gerald = gerald
- self._lane_id = lane_id
-
- def __get_attribute(self, xml_tag):
- subtree = self._gerald.tree.find('LaneSpecificRunParameters')
- container = subtree.find(xml_tag)
- if container is None:
- return None
- if len(container.getchildren()) > LANES_PER_FLOWCELL:
- raise RuntimeError('GERALD config.xml file changed')
- lanes = [x.tag.split('_')[1] for x in container.getchildren()]
- try:
- index = lanes.index(self._lane_id)
- except ValueError, e:
- return None
- element = container[index]
- return element.text
- def _get_analysis(self):
- return self.__get_attribute('ANALYSIS')
- analysis = property(_get_analysis)
-
- def _get_eland_genome(self):
- genome = self.__get_attribute('ELAND_GENOME')
- # default to the chipwide parameters if there isn't an
- # entry in the lane specific paramaters
- if genome is None:
- genome = self._gerald._get_chip_attribute('ELAND_GENOME')
- # ignore flag value
- if genome == 'Need_to_specify_ELAND_genome_directory':
- genome = None
- return genome
- eland_genome = property(_get_eland_genome)
-
- def _get_read_length(self):
- read_length = self.__get_attribute('READ_LENGTH')
- if read_length is None:
- read_length = self._gerald._get_chip_attribute('READ_LENGTH')
- return read_length
- read_length = property(_get_read_length)
-
- def _get_use_bases(self):
- return self.__get_attribute('USE_BASES')
- use_bases = property(_get_use_bases)
-
- class LaneSpecificRunParameters(object):
- """
- Provide access to LaneSpecificRunParameters
- """
- def __init__(self, gerald):
- self._gerald = gerald
- self._lane = None
-
- def _initalize_lanes(self):
- """
- build dictionary of LaneParameters
- """
- self._lanes = {}
- tree = self._gerald.tree
- analysis = tree.find('LaneSpecificRunParameters/ANALYSIS')
- # according to the pipeline specs I think their fields
- # are sampleName_laneID, with sampleName defaulting to s
- # since laneIDs are constant lets just try using
- # those consistently.
- for element in analysis:
- sample, lane_id = element.tag.split('_')
- self._lanes[int(lane_id)] = Gerald.LaneParameters(
- self._gerald, lane_id)
-
- def __getitem__(self, key):
- if self._lane is None:
- self._initalize_lanes()
- return self._lanes[key]
- def keys(self):
- if self._lane is None:
- self._initalize_lanes()
- return self._lanes.keys()
- def values(self):
- if self._lane is None:
- self._initalize_lanes()
- return self._lanes.values()
- def items(self):
- if self._lane is None:
- self._initalize_lanes()
- return self._lanes.items()
- def __len__(self):
- if self._lane is None:
- self._initalize_lanes()
- return len(self._lanes)
-
- def __init__(self, xml=None):
- self.pathname = None
- self.tree = None
+ def __init__(self, xml=None, pathname=None, tree=None):
+ self.pathname = pathname
+ self.tree = tree
# parse lane parameters out of the config.xml file
- self.lanes = Gerald.LaneSpecificRunParameters(self)
+ self.lanes = LaneSpecificRunParameters(self)
self.summary = None
self.eland_results = None
if xml is not None:
self.set_elements(xml)
- def _get_date(self):
- if self.tree is None:
- return datetime.today()
- timestamp = self.tree.findtext('ChipWideRunParameters/TIME_STAMP')
- epochstamp = time.mktime(time.strptime(timestamp, '%c'))
- return datetime.fromtimestamp(epochstamp)
- date = property(_get_date)
-
def _get_time(self):
return time.mktime(self.date.timetuple())
time = property(_get_time, doc='return run time as seconds since epoch')
- def _get_experiment_root(self):
- if self.tree is None:
- return None
- return self.tree.findtext('ChipWideRunParameters/EXPT_DIR_ROOT')
-
- def _get_runfolder_name(self):
- if self.tree is None:
- return None
-
- root = self._get_experiment_root()
- if root is None:
- root = ''
- else:
- root = os.path.join(root,'')
-
- experiment_dir = self.tree.findtext('ChipWideRunParameters/EXPT_DIR')
- if experiment_dir is None:
- return None
- experiment_dir = experiment_dir.replace(root, '')
- if len(experiment_dir) == 0:
- return None
-
- dirnames = experiment_dir.split(os.path.sep)
- return dirnames[0]
- runfolder_name = property(_get_runfolder_name)
-
- def _get_version(self):
- if self.tree is None:
- return None
- return self.tree.findtext('ChipWideRunParameters/SOFTWARE_VERSION')
- version = property(_get_version)
-
def _get_chip_attribute(self, value):
return self.tree.findtext('ChipWideRunParameters/%s' % (value,))
"""
Debugging function, report current object
"""
- print 'Gerald version:', self.version
- print 'Gerald run date:', self.date
- print 'Gerald config.xml:', self.tree
+ print 'Software:'. self.__class__.__name__
+ print 'Alignment version:', self.version
+ print 'Run date:', self.date
+ print 'config.xml:', self.tree
self.summary.dump()
def get_elements(self):
return gerald
def set_elements(self, tree):
- if tree.tag != Gerald.GERALD:
- raise ValueError('exptected GERALD')
+ if tree.tag != self.__class__.GERALD:
+ raise ValueError('expected GERALD')
xml_version = int(tree.attrib.get('version', 0))
if xml_version > Gerald.XML_VERSION:
LOGGER.warn('XML tree is a higher version than this class')
else:
LOGGER.warn("Unrecognized tag %s" % (element.tag,))
+class Gerald(Alignment):
+ GERALD='Gerald'
+
+ def _get_date(self):
+ if self.tree is None:
+ return datetime.today()
+ timestamp = self.tree.findtext('ChipWideRunParameters/TIME_STAMP')
+ if timestamp is not None:
+ epochstamp = time.mktime(time.strptime(timestamp, '%c'))
+ return datetime.fromtimestamp(epochstamp)
+ if self.pathname is not None:
+ epochstamp = os.stat(self.pathname)[stat.ST_MTIME]
+ return datetime.fromtimestamp(epochstamp)
+ return datetime.today()
+ date = property(_get_date)
+
+ def _get_experiment_root(self):
+ if self.tree is None:
+ return None
+ return self.tree.findtext('ChipWideRunParameters/EXPT_DIR_ROOT')
+
+ def _get_runfolder_name(self):
+ if self.tree is None:
+ return None
+
+ expt_root = os.path.normpath(self._get_experiment_root())
+ chip_expt_dir = self.tree.findtext('ChipWideRunParameters/EXPT_DIR')
+
+ if expt_root is not None and chip_expt_dir is not None:
+ experiment_dir = chip_expt_dir.replace(expt_root+os.path.sep, '')
+ experiment_dir = experiment_dir.split(os.path.sep)[0]
+
+ if experiment_dir is None or len(experiment_dir) == 0:
+ return None
+ return experiment_dir
+
+ runfolder_name = property(_get_runfolder_name)
+
+ def _get_software_version(self):
+ if self.tree is None:
+ return None
+ ga_version = self.tree.findtext(
+ 'ChipWideRunParameters/SOFTWARE_VERSION')
+ if ga_version is not None:
+ gerald = re.match("@.*GERALD.pl,v (?P<version>\d+(\.\d+)+)",
+ ga_version)
+ if gerald:
+ return ('GERALD', gerald.group('version'))
+ casava = re.match('CASAVA-(?P<version>\d+[.\d]*)',
+ ga_version)
+ if casava:
+ return ('CASAVA', casava.group('version'))
+
+ def _get_software(self):
+ """Return name of analysis software package"""
+ software_version = self._get_software_version()
+ return software_version[0] if software_version is not None else None
+ software = property(_get_software)
+
+ def _get_version(self):
+ """Return version number of software package"""
+ software_version = self._get_software_version()
+ return software_version[1] if software_version is not None else None
+ version = property(_get_version)
+
+class CASAVA(Alignment):
+ GERALD='Casava'
+
+ def _get_runfolder_name(self):
+ if self.tree is None:
+ return None
+
+ # hiseqs renamed the experiment dir location
+ defaults_expt_dir = self.tree.findtext('Defaults/EXPT_DIR')
+ _, experiment_dir = os.path.split(defaults_expt_dir)
+
+ if experiment_dir is None or len(experiment_dir) == 0:
+ return None
+ return experiment_dir
+
+ runfolder_name = property(_get_runfolder_name)
+
+ def _get_software_version(self):
+ if self.tree is None:
+ return None
+ if self.tree is None:
+ return None
+ hiseq_software_node = self.tree.find('Software')
+ software_version = hiseq_software_node.attrib.get('Version',None)
+ if software_version is None:
+ return None
+ return software_version.split('-')
+
+ def _get_software(self):
+ software_version = self._get_software_version()
+ if software_version is None:
+ return None
+ return software_version[0]
+ software = property(_get_software)
+
+ def _get_version(self):
+ software_version = self._get_software_version()
+ if software_version is None:
+ return None
+ return software_version[1]
+ version = property(_get_version)
+
+
+class LaneParameters(object):
+ """
+ Make it easy to access elements of LaneSpecificRunParameters from python
+ """
+ def __init__(self, gerald, lane_id):
+ self._gerald = gerald
+ self._lane_id = lane_id
+
+ def _get_analysis(self):
+ raise NotImplemented("abstract class")
+ analysis = property(_get_analysis)
+
+ def _get_eland_genome(self):
+ raise NotImplemented("abstract class")
+ eland_genome = property(_get_eland_genome)
+
+ def _get_read_length(self):
+ raise NotImplemented("abstract class")
+ read_length = property(_get_read_length)
+
+ def _get_use_bases(self):
+ raise NotImplemented("abstract class")
+ use_bases = property(_get_use_bases)
+
+
+class LaneParametersGA(LaneParameters):
+ """
+ Make it easy to access elements of LaneSpecificRunParameters from python
+ """
+ def __init__(self, gerald, lane_id):
+ super(LaneParametersGA, self).__init__(gerald, lane_id)
+
+ def __get_attribute(self, xml_tag):
+ subtree = self._gerald.tree.find('LaneSpecificRunParameters')
+ container = subtree.find(xml_tag)
+ if container is None:
+ return None
+ if len(container.getchildren()) > LANES_PER_FLOWCELL:
+ raise RuntimeError('GERALD config.xml file changed')
+ lanes = [x.tag.split('_')[1] for x in container.getchildren()]
+ try:
+ index = lanes.index(self._lane_id)
+ except ValueError, e:
+ return None
+ element = container[index]
+ return element.text
+ def _get_analysis(self):
+ return self.__get_attribute('ANALYSIS')
+ analysis = property(_get_analysis)
+
+ def _get_eland_genome(self):
+ genome = self.__get_attribute('ELAND_GENOME')
+ # default to the chipwide parameters if there isn't an
+ # entry in the lane specific paramaters
+ if genome is None:
+ genome = self._gerald._get_chip_attribute('ELAND_GENOME')
+ # ignore flag value
+ if genome == 'Need_to_specify_ELAND_genome_directory':
+ genome = None
+ return genome
+ eland_genome = property(_get_eland_genome)
+
+ def _get_read_length(self):
+ read_length = self.__get_attribute('READ_LENGTH')
+ if read_length is None:
+ read_length = self._gerald._get_chip_attribute('READ_LENGTH')
+ return read_length
+ read_length = property(_get_read_length)
+
+ def _get_use_bases(self):
+ return self.__get_attribute('USE_BASES')
+ use_bases = property(_get_use_bases)
+
+
+class LaneParametersHiSeq(LaneParameters):
+ """
+ Make it easy to access elements of LaneSpecificRunParameters from python
+ """
+ def __init__(self, gerald, lane_id, element):
+ super(LaneParametersHiSeq, self).__init__(gerald, lane_id)
+ self.element = element
+
+ def __get_attribute(self, xml_tag):
+ container = self.element.find(xml_tag)
+ if container is None:
+ return None
+ return container.text
+
+ def _get_analysis(self):
+ return self.__get_attribute('ANALYSIS')
+ analysis = property(_get_analysis)
+
+ def _get_eland_genome(self):
+ genome = self.__get_attribute('ELAND_GENOME')
+ # default to the chipwide parameters if there isn't an
+ # entry in the lane specific paramaters
+ if genome is None:
+ genome = self._gerald._get_chip_attribute('ELAND_GENOME')
+ # ignore flag value
+ if genome == 'Need_to_specify_ELAND_genome_directory':
+ genome = None
+ return genome
+ eland_genome = property(_get_eland_genome)
+
+ def _get_read_length(self):
+ return self.__get_attribute('READ_LENGTH1')
+ read_length = property(_get_read_length)
+
+ def _get_use_bases(self):
+ return self.__get_attribute('USE_BASES1')
+ use_bases = property(_get_use_bases)
+
+class LaneSpecificRunParameters(object):
+ """
+ Provide access to LaneSpecificRunParameters
+ """
+ def __init__(self, gerald):
+ self._gerald = gerald
+ self._lane = None
+
+ def _initalize_lanes(self):
+ """
+ build dictionary of LaneParameters
+ """
+ self._lanes = {}
+ tree = self._gerald.tree
+ analysis = tree.find('LaneSpecificRunParameters/ANALYSIS')
+ if analysis is not None:
+ self._extract_ga_analysis_type(analysis)
+ analysis = tree.find('Projects')
+ if analysis is not None:
+ self._extract_hiseq_analysis_type(analysis)
+
+ def _extract_ga_analysis_type(self, analysis):
+ # according to the pipeline specs I think their fields
+ # are sampleName_laneID, with sampleName defaulting to s
+ # since laneIDs are constant lets just try using
+ # those consistently.
+ for element in analysis:
+ sample, lane_id = element.tag.split('_')
+ self._lanes[int(lane_id)] = LaneParametersGA(
+ self._gerald, lane_id)
+
+ def _extract_hiseq_analysis_type(self, analysis):
+ """Extract from HiSeq style multiplexed analysis types"""
+ for element in analysis:
+ name = element.attrib['name']
+ self._lanes[name] = LaneParametersHiSeq(self._gerald,
+ name,
+ element)
+
+ def __iter__(self):
+ return self._lanes.iterkeys()
+ def __getitem__(self, key):
+ if self._lane is None:
+ self._initalize_lanes()
+ return self._lanes[key]
+ def get(self, key, default):
+ if self._lane is None:
+ self._initalize_lanes()
+ return self._lanes.get(key, None)
+ def keys(self):
+ if self._lane is None:
+ self._initalize_lanes()
+ return self._lanes.keys()
+ def values(self):
+ if self._lane is None:
+ self._initalize_lanes()
+ return self._lanes.values()
+ def items(self):
+ if self._lane is None:
+ self._initalize_lanes()
+ return self._lanes.items()
+ def __len__(self):
+ if self._lane is None:
+ self._initalize_lanes()
+ return len(self._lanes)
+
+
def gerald(pathname):
- g = Gerald()
- g.pathname = os.path.expanduser(pathname)
- path, name = os.path.split(g.pathname)
LOGGER.info("Parsing gerald config.xml")
- config_pathname = os.path.join(g.pathname, 'config.xml')
- g.tree = ElementTree.parse(config_pathname).getroot()
+ pathname = os.path.expanduser(pathname)
+ config_pathname = os.path.join(pathname, 'config.xml')
+ config_tree = ElementTree.parse(config_pathname).getroot()
# parse Summary.htm file
- summary_pathname = os.path.join(g.pathname, 'Summary.xml')
- if os.path.exists(summary_pathname):
+ summary_xml = os.path.join(pathname, 'Summary.xml')
+ summary_htm = os.path.join(pathname, 'Summary.htm')
+ report_summary = os.path.join(pathname, '..', 'Data',
+ 'reports', 'Summary', )
+ if os.path.exists(summary_xml):
+ g = Gerald(pathname = pathname, tree=config_tree)
LOGGER.info("Parsing Summary.xml")
- else:
- summary_pathname = os.path.join(g.pathname, 'Summary.htm')
+ g.summary = SummaryGA(summary_xml)
+ g.eland_results = eland(g.pathname, g)
+ elif os.path.exists(summary_htm):
+ g = Gerald(pathname=pathname, tree=config_tree)
LOGGER.info("Parsing Summary.htm")
- g.summary = Summary(summary_pathname)
+ g.summary = SummaryGA(summary_htm)
+ g.eland_results = eland(g.pathname, g)
+ elif os.path.isdir(report_summary):
+ g = CASAVA(pathname=pathname, tree=config_tree)
+ LOGGER.info("Parsing %s" % (report_summary,))
+ g.summary = SummaryHiSeq(report_summary)
+
# parse eland files
- g.eland_results = eland(g.pathname, g)
return g
if __name__ == "__main__":
if xml is not None:
self.set_elements(xml)
+ def _get_software(self):
+ """Return software name"""
+ if self.tree is None:
+ raise ValueError("Can't determine software name, please load a run")
+ software = self.tree.xpath('Software')
+ if len(software) == 0:
+ return None
+ elif len(software) > 1:
+ raise RuntimeError("Too many software tags, please update ipar.py")
+ else:
+ return software[0].attrib['Name']
+ software = property(_get_software)
+
def _get_time(self):
return time.mktime(self.date.timetuple())
def _set_time(self, value):
import tarfile
import time
-try:
- from xml.etree import ElementTree
-except ImportError, e:
- from elementtree import ElementTree
+import lxml.etree as ElementTree
LOGGER = logging.getLogger(__name__)
self.pathname = None
self._name = None
self._flowcell_id = flowcell_id
+ self.datadir = None
self.image_analysis = None
self.bustard = None
self.gerald = None
self.bustard = bustard.Bustard(xml=element)
elif tag == gerald.Gerald.GERALD.lower():
self.gerald = gerald.Gerald(xml=element)
+ elif tag == gerald.CASAVA.GERALD.lower():
+ self.gerald = gerald.CASAVA(xml=element)
else:
LOGGER.warn('PipelineRun unrecognized tag %s' % (tag,))
from htsworkflow.pipelines import bustard
from htsworkflow.pipelines import gerald
- def scan_post_image_analysis(runs, runfolder, image_analysis, pathname):
+ def scan_post_image_analysis(runs, runfolder, datadir, image_analysis, pathname):
LOGGER.info("Looking for bustard directories in %s" % (pathname,))
bustard_dirs = glob(os.path.join(pathname, "Bustard*"))
# RTA BaseCalls looks enough like Bustard.
for bustard_pathname in bustard_dirs:
LOGGER.info("Found bustard directory %s" % (bustard_pathname,))
b = bustard.bustard(bustard_pathname)
- gerald_glob = os.path.join(bustard_pathname, 'GERALD*')
- LOGGER.info("Looking for gerald directories in %s" % (pathname,))
- for gerald_pathname in glob(gerald_glob):
- LOGGER.info("Found gerald directory %s" % (gerald_pathname,))
- try:
- g = gerald.gerald(gerald_pathname)
- p = PipelineRun(runfolder, flowcell_id)
- p.image_analysis = image_analysis
- p.bustard = b
- p.gerald = g
- runs.append(p)
- except IOError, e:
- LOGGER.error("Ignoring " + str(e))
+ build_gerald_runs(runs, b, image_analysis, bustard_pathname, datadir, pathname, runfolder)
+
+ build_aligned_runs(image_analysis, runs, b, datadir, runfolder)
+
+ def build_gerald_runs(runs, b, image_analysis, bustard_pathname, datadir, pathname, runfolder):
+ gerald_glob = os.path.join(bustard_pathname, 'GERALD*')
+ LOGGER.info("Looking for gerald directories in %s" % (pathname,))
+ for gerald_pathname in glob(gerald_glob):
+ LOGGER.info("Found gerald directory %s" % (gerald_pathname,))
+ try:
+ g = gerald.gerald(gerald_pathname)
+ p = PipelineRun(runfolder, flowcell_id)
+ p.datadir = datadir
+ p.image_analysis = image_analysis
+ p.bustard = b
+ p.gerald = g
+ runs.append(p)
+ except IOError, e:
+ LOGGER.error("Ignoring " + str(e))
+
+
+ def build_aligned_runs(image_analysis, runs, b, datadir, runfolder):
+ aligned_glob = os.path.join(runfolder, 'Aligned*')
+ for aligned in glob(aligned_glob):
+ LOGGER.info("Found aligned directory %s" % (aligned,))
+ try:
+ g = gerald.HiSeq(aligned)
+ p = PipelineRun(runfolder, flowcell_id)
+ p.datadir = datadir
+ p.image_analysis = image_analysis
+ p.bustard = b
+ p.gerald = g
+ runs.append(p)
+ except IOError, e:
+ LOGGER.error("Ignoring " + str(e))
datadir = os.path.join(runfolder, 'Data')
)
else:
scan_post_image_analysis(
- runs, runfolder, image_analysis, firecrest_pathname
+ runs, runfolder, datadir, image_analysis, firecrest_pathname
)
# scan for IPAR directories
ipar_dirs = glob(os.path.join(datadir, "IPAR_*"))
)
else:
scan_post_image_analysis(
- runs, runfolder, image_analysis, ipar_pathname
+ runs, runfolder, datadir, image_analysis, ipar_pathname
)
return runs
os.chdir(cwd)
-def save_summary_file(gerald_object, cycle_dir):
+def save_summary_file(pipeline, cycle_dir):
# Copy Summary.htm
- summary_path = os.path.join(gerald_object.pathname, 'Summary.htm')
- if os.path.exists(summary_path):
- LOGGER.info('Copying %s to %s' % (summary_path, cycle_dir))
- shutil.copy(summary_path, cycle_dir)
+ gerald_object = pipeline.gerald
+ gerald_summary = os.path.join(gerald_object.pathname, 'Summary.htm')
+ status_files_summary = os.path.join(pipeline.datadir, 'Status_Files', 'Summary.htm')
+ if os.path.exists(gerald_summary):
+ LOGGER.info('Copying %s to %s' % (gerald_summary, cycle_dir))
+ shutil.copy(gerald_summary, cycle_dir)
+ elif os.path.exists(status_files_summary):
+ LOGGER.info('Copying %s to %s' % (status_files_summary, cycle_dir))
+ shutil.copy(status_files_summary, cycle_dir)
else:
LOGGER.info('Summary file %s was not found' % (summary_path,))
if site is not None:
lanes = []
for lane in range(1, 9):
- if r.gerald.lanes[lane].analysis != 'none':
+ lane_parameters = r.gerald.lanes.get(lane, None)
+ if lane_parameters is not None and lane_parameters.analysis != 'none':
lanes.append(lane)
run_name = srf.pathname_to_run_name(r.pathname)
seq_cmds = []
+ LOGGER.info("Raw Format is: %s" % (raw_format, ))
if raw_format == 'fastq':
- srf.copy_hiseq_project_fastqs(run_name, r.bustard.pathname, site, cycle_dir)
+ rawpath = os.path.join(r.pathname, r.gerald.runfolder_name)
+ LOGGER.info("raw data = %s" % (rawpath,))
+ srf.copy_hiseq_project_fastqs(run_name, rawpath, site, cycle_dir)
elif raw_format == 'qseq':
seq_cmds = srf.make_qseq_commands(run_name, r.bustard.pathname, lanes, site, cycle_dir)
elif raw_format == 'srf':
g = r.gerald
# save summary file
- save_summary_file(g, cycle_dir)
+ save_summary_file(r, cycle_dir)
# compress eland result files
compress_eland_results(g, cycle_dir, num_jobs)
"""
Analyze the Summary.htm file produced by GERALD
"""
+import os
import logging
import re
import types
XML_VERSION = 3
SUMMARY = 'Summary'
- class LaneResultSummary(object):
- """
- Parse the LaneResultSummary table out of Summary.htm
- Mostly for the cluster number
- """
- LANE_RESULT_SUMMARY = 'LaneResultSummary'
- TAGS = {
- 'LaneYield': 'lane_yield',
- 'Cluster': 'cluster', # Raw
- 'ClusterPF': 'cluster_pass_filter',
- 'AverageFirstCycleIntensity': 'average_first_cycle_intensity',
- 'PercentIntensityAfter20Cycles': 'percent_intensity_after_20_cycles',
- 'PercentPassFilterClusters': 'percent_pass_filter_clusters',
- 'PercentPassFilterAlign': 'percent_pass_filter_align',
- 'AverageAlignmentScore': 'average_alignment_score',
- 'PercentErrorRate': 'percent_error_rate'
- }
- # These are tags that have mean/stdev as found in the GERALD Summary.xml file
- GERALD_TAGS = {
- #'laneYield': 'lane_yield', #this is just a number
- 'clusterCountRaw': 'cluster', # Raw
- 'clusterCountPF': 'cluster_pass_filter',
- 'oneSig': 'average_first_cycle_intensity',
- 'signal20AsPctOf1': 'percent_intensity_after_20_cycles',
- 'percentClustersPF': 'percent_pass_filter_clusters',
- 'percentUniquelyAlignedPF': 'percent_pass_filter_align',
- 'averageAlignScorePF': 'average_alignment_score',
- 'errorPF': 'percent_error_rate'
- }
-
- def __init__(self, html=None, xml=None):
- self.lane = None
- self.end = 0
- self.lane_yield = None
- self.cluster = None
- self.cluster_pass_filter = None
- self.average_first_cycle_intensity = None
- self.percent_intensity_after_20_cycles = None
- self.percent_pass_filter_clusters = None
- self.percent_pass_filter_align = None
- self.average_alignment_score = None
- self.percent_error_rate = None
-
- if html is not None:
- self.set_elements_from_source(html)
- if xml is not None:
- self.set_elements(xml)
-
- def set_elements_from_source(self, data):
- """Read from an initial summary data file. Either xml or html
- """
- if not len(data) in (8,10):
- raise RuntimeError("Summary.htm file format changed, len(data)=%d" % (len(data),))
-
- # same in pre-0.3.0 Summary file and 0.3 summary file
- self.lane = int(data[0])
-
- if len(data) == 8:
- parsed_data = [ parse_mean_range(x) for x in data[1:] ]
- # this is the < 0.3 Pipeline version
- self.cluster = parsed_data[0]
- self.average_first_cycle_intensity = parsed_data[1]
- self.percent_intensity_after_20_cycles = parsed_data[2]
- self.percent_pass_filter_clusters = parsed_data[3]
- self.percent_pass_filter_align = parsed_data[4]
- self.average_alignment_score = parsed_data[5]
- self.percent_error_rate = parsed_data[6]
- elif len(data) == 10:
- parsed_data = [ parse_mean_range(x) for x in data[2:] ]
- # this is the >= 0.3 summary file
- self.lane_yield = data[1]
- self.cluster = parsed_data[0]
- self.cluster_pass_filter = parsed_data[1]
- self.average_first_cycle_intensity = parsed_data[2]
- self.percent_intensity_after_20_cycles = parsed_data[3]
- self.percent_pass_filter_clusters = parsed_data[4]
- self.percent_pass_filter_align = parsed_data[5]
- self.average_alignment_score = parsed_data[6]
- self.percent_error_rate = parsed_data[7]
-
- def set_elements_from_gerald_xml(self, read, element):
- self.lane = int(element.find('laneNumber').text)
- self.end = read
- lane_yield_node = element.find('laneYield')
- if lane_yield_node is not None:
- self.lane_yield = int(lane_yield_node.text)
- else:
- self.lane_yield = None
-
- for GeraldName, LRSName in Summary.LaneResultSummary.GERALD_TAGS.items():
- node = element.find(GeraldName)
- if node is None:
- LOGGER.info("Couldn't find %s" % (GeraldName))
- setattr(self, LRSName, parse_xml_mean_range(node))
-
- def get_elements(self):
- lane_result = etree.Element(
- Summary.LaneResultSummary.LANE_RESULT_SUMMARY,
- {'lane': unicode(self.lane), 'end': unicode(self.end)})
- for tag, variable_name in Summary.LaneResultSummary.TAGS.items():
- value = getattr(self, variable_name)
- if value is None:
- continue
- # it looks like a sequence
- elif type(value) in (types.TupleType, types.ListType):
- element = make_mean_range_element(
- lane_result,
- tag,
- *value
- )
- else:
- element = etree.SubElement(lane_result, tag)
- element.text = unicode(value)
- return lane_result
-
- def set_elements(self, tree):
- if tree.tag != Summary.LaneResultSummary.LANE_RESULT_SUMMARY:
- raise ValueError('Expected %s' % (
- Summary.LaneResultSummary.LANE_RESULT_SUMMARY))
- self.lane = int(tree.attrib['lane'])
- # default to the first end, for the older summary files
- # that are single ended
- self.end = int(tree.attrib.get('end', 0))
- tags = Summary.LaneResultSummary.TAGS
- for element in list(tree):
- try:
- variable_name = tags[element.tag]
- setattr(self, variable_name,
- parse_summary_element(element))
- except KeyError, e:
- LOGGER.warn('Unrecognized tag %s' % (element.tag,))
-
def __init__(self, filename=None, xml=None):
# lane results is a list of 1 or 2 ends containing
# a dictionary of all the lanes reported in this
def __len__(self):
return len(self.lane_results)
+ def get_elements(self):
+ summary = etree.Element(Summary.SUMMARY,
+ {'version': unicode(Summary.XML_VERSION)})
+ for end in self.lane_results:
+ for lane in end.values():
+ summary.append(lane.get_elements())
+ return summary
+
+ def set_elements(self, tree):
+ if tree.tag != Summary.SUMMARY:
+ return ValueError("Expected %s" % (Summary.SUMMARY,))
+ xml_version = int(tree.attrib.get('version', 0))
+ if xml_version > Summary.XML_VERSION:
+ LOGGER.warn('Summary XML tree is a higher version than this class')
+ for element in list(tree):
+ lrs = LaneResultSummaryGA()
+ lrs.set_elements(element)
+ if len(self.lane_results) < (lrs.end + 1):
+ self.lane_results.append({})
+ self.lane_results[lrs.end][lrs.lane] = lrs
+
+ def is_paired_end(self):
+ return len(self.lane_results) == 2
+
+ def dump(self):
+ """
+ Debugging function, report current object
+ """
+ tree = self.get_elements()
+ print etree.tostring(tree)
+
+class SummaryGA(Summary):
+ def __init__(self, filename=None, xml=None):
+ super(SummaryGA, self).__init__(filename, xml)
+
def _flattened_row(self, row):
"""
flatten the children of a <tr>...</tr>
read = int(read_tree.find('readNumber').text)-1
for element in read_tree.getchildren():
if element.tag.lower() == "lane":
- lrs = Summary.LaneResultSummary()
+ lrs = LaneResultSummaryGA()
lrs.set_elements_from_gerald_xml(read, element)
self.lane_results[lrs.end][lrs.lane] = lrs
# probably not useful
self.lane_results.append({})
for r in lane_summary:
- lrs = Summary.LaneResultSummary(html=r)
+ lrs = LaneResultSummaryGA(html=r)
lrs.end = end
self.lane_results[lrs.end][lrs.lane] = lrs
###### END HTML Table Extraction ########
+
+class SummaryHiSeq(Summary):
+ def __init__(self, filename=None, xml=None):
+ super(SummaryHiSeq, self).__init__(filename, xml)
+
+ def _extract_lane_results(self, filename):
+ read1 = os.path.join(filename, 'read1.xml')
+ read2 = os.path.join(filename, 'read2.xml')
+
+ if os.path.exists(read1):
+ self._extract_lane_results_for_end(read1, 0)
+ else:
+ LOGGER.warn("No read1.xml at %s." % (read1,))
+ if os.path.exists(read2):
+ self.lane_results.append({})
+ self._extract_lane_results_for_end(read2, 1)
+
+ def _extract_lane_results_for_end(self, filename, end):
+ self.tree = etree.parse(filename)
+ root = self.tree.getroot()
+ for lane in root.getchildren():
+ lrs = LaneResultSummaryHiSeq(data=lane)
+ lrs.end = end
+ self.lane_results[lrs.end][lrs.lane] = lrs
+
+
+class LaneResultSummary(object):
+ """
+ Parse the LaneResultSummary table out of Summary.htm
+ Mostly for the cluster number
+ """
+ LANE_RESULT_SUMMARY = 'LaneResultSummary'
+ TAGS = {
+ 'LaneYield': 'lane_yield',
+ 'Cluster': 'cluster', # Raw
+ 'ClusterPF': 'cluster_pass_filter',
+ 'AverageFirstCycleIntensity': 'average_first_cycle_intensity',
+ 'PercentIntensityAfter20Cycles': 'percent_intensity_after_20_cycles',
+ 'PercentPassFilterClusters': 'percent_pass_filter_clusters',
+ 'PercentPassFilterAlign': 'percent_pass_filter_align',
+ 'AverageAlignmentScore': 'average_alignment_score',
+ 'PercentErrorRate': 'percent_error_rate'
+ }
+ # These are tags that have mean/stdev as found in the GERALD Summary.xml file
+ GERALD_TAGS = {
+ #'laneYield': 'lane_yield', #this is just a number
+ 'clusterCountRaw': 'cluster', # Raw
+ 'clusterCountPF': 'cluster_pass_filter',
+ 'oneSig': 'average_first_cycle_intensity',
+ 'signal20AsPctOf1': 'percent_intensity_after_20_cycles',
+ 'percentClustersPF': 'percent_pass_filter_clusters',
+ 'percentUniquelyAlignedPF': 'percent_pass_filter_align',
+ 'averageAlignScorePF': 'average_alignment_score',
+ 'errorPF': 'percent_error_rate'
+ }
+
+ def __init__(self, html=None, xml=None):
+ self.lane = None
+ self.end = 0
+ self.lane_yield = None
+ self.cluster = None
+ self.cluster_pass_filter = None
+ self.average_first_cycle_intensity = None
+ self.percent_intensity_after_20_cycles = None
+ self.percent_pass_filter_clusters = None
+ self.percent_pass_filter_align = None
+ self.average_alignment_score = None
+ self.percent_error_rate = None
+
+
def get_elements(self):
- summary = etree.Element(Summary.SUMMARY,
- {'version': unicode(Summary.XML_VERSION)})
- for end in self.lane_results:
- for lane in end.values():
- summary.append(lane.get_elements())
- return summary
+ lane_result = etree.Element(
+ LaneResultSummary.LANE_RESULT_SUMMARY,
+ {'lane': unicode(self.lane), 'end': unicode(self.end)})
+ for tag, variable_name in LaneResultSummary.TAGS.items():
+ value = getattr(self, variable_name)
+ if value is None:
+ continue
+ # it looks like a sequence
+ elif type(value) in (types.TupleType, types.ListType):
+ element = make_mean_range_element(
+ lane_result,
+ tag,
+ *value
+ )
+ else:
+ element = etree.SubElement(lane_result, tag)
+ element.text = unicode(value)
+ return lane_result
def set_elements(self, tree):
- if tree.tag != Summary.SUMMARY:
- return ValueError("Expected %s" % (Summary.SUMMARY,))
- xml_version = int(tree.attrib.get('version', 0))
- if xml_version > Summary.XML_VERSION:
- LOGGER.warn('Summary XML tree is a higher version than this class')
+ if tree.tag != LaneResultSummary.LANE_RESULT_SUMMARY:
+ raise ValueError('Expected %s' % (
+ LaneResultSummary.LANE_RESULT_SUMMARY))
+ self.lane = int(tree.attrib['lane'])
+ # default to the first end, for the older summary files
+ # that are single ended
+ self.end = int(tree.attrib.get('end', 0))
+ tags = LaneResultSummary.TAGS
for element in list(tree):
- lrs = Summary.LaneResultSummary()
- lrs.set_elements(element)
- if len(self.lane_results) < (lrs.end + 1):
- self.lane_results.append({})
- self.lane_results[lrs.end][lrs.lane] = lrs
+ try:
+ variable_name = tags[element.tag]
+ setattr(self, variable_name,
+ parse_summary_element(element))
+ except KeyError, e:
+ LOGGER.warn('Unrecognized tag %s' % (element.tag,))
- def is_paired_end(self):
- return len(self.lane_results) == 2
- def dump(self):
+class LaneResultSummaryGA(LaneResultSummary):
+ def __init__(self, html=None, xml=None):
+ super(LaneResultSummaryGA, self).__init__(html, xml)
+
+ if html is not None:
+ self.set_elements_from_source(html)
+ if xml is not None:
+ self.set_elements(xml)
+
+ def set_elements_from_gerald_xml(self, read, element):
+ self.lane = int(element.find('laneNumber').text)
+ self.end = read
+ lane_yield_node = element.find('laneYield')
+ if lane_yield_node is not None:
+ self.lane_yield = int(lane_yield_node.text)
+ else:
+ self.lane_yield = None
+
+ for GeraldName, LRSName in LaneResultSummary.GERALD_TAGS.items():
+ node = element.find(GeraldName)
+ if node is None:
+ LOGGER.info("Couldn't find %s" % (GeraldName))
+ setattr(self, LRSName, parse_xml_mean_range(node))
+
+ def set_elements_from_source(self, data):
+ """Read from an initial summary data file. Either xml or html
"""
- Debugging function, report current object
+ if not len(data) in (8,10):
+ raise RuntimeError("Summary.htm file format changed, len(data)=%d" % (len(data),))
+
+ # same in pre-0.3.0 Summary file and 0.3 summary file
+ self.lane = int(data[0])
+
+ if len(data) == 8:
+ parsed_data = [ parse_mean_range(x) for x in data[1:] ]
+ # this is the < 0.3 Pipeline version
+ self.cluster = parsed_data[0]
+ self.average_first_cycle_intensity = parsed_data[1]
+ self.percent_intensity_after_20_cycles = parsed_data[2]
+ self.percent_pass_filter_clusters = parsed_data[3]
+ self.percent_pass_filter_align = parsed_data[4]
+ self.average_alignment_score = parsed_data[5]
+ self.percent_error_rate = parsed_data[6]
+ elif len(data) == 10:
+ parsed_data = [ parse_mean_range(x) for x in data[2:] ]
+ # this is the >= 0.3 summary file
+ self.lane_yield = data[1]
+ self.cluster = parsed_data[0]
+ self.cluster_pass_filter = parsed_data[1]
+ self.average_first_cycle_intensity = parsed_data[2]
+ self.percent_intensity_after_20_cycles = parsed_data[3]
+ self.percent_pass_filter_clusters = parsed_data[4]
+ self.percent_pass_filter_align = parsed_data[5]
+ self.average_alignment_score = parsed_data[6]
+ self.percent_error_rate = parsed_data[7]
+
+
+class LaneResultSummaryHiSeq(LaneResultSummary):
+ def __init__(self, data=None, xml=None):
+ super(LaneResultSummaryHiSeq, self).__init__(data, xml)
+
+ if data is not None:
+ self.set_elements_from_source(data)
+ if xml is not None:
+ self.set_elements(xml)
+
+ def set_elements_from_source(self, element):
+ """Read from an initial summary data file. Either xml or html
"""
- tree = self.get_elements()
- print etree.tostring(tree)
+ # same in pre-0.3.0 Summary file and 0.3 summary file
+ lane = element.attrib
+ self.lane = int(lane['key'])
+ #self.lane_yield = data[1]
+ self.cluster = (int(lane['ClustersRaw']),
+ float(lane['ClustersRawSD']))
+ self.cluster_pass_filter = (int(lane['ClustersPF']),
+ float(lane['ClustersPFSD']))
+ self.average_first_cycle_intensity = (int(lane['FirstCycleIntPF']),
+ float(lane['FirstCycleIntPFSD']))
+ self.percent_intensity_after_20_cycles = (
+ float(lane['PrcIntensityAfter20CyclesPF']),
+ float(lane['PrcIntensityAfter20CyclesPFSD']))
+ self.percent_pass_filter_clusters = (
+ float(lane['PrcPFClusters']),
+ float(lane['PrcPFClustersSD']))
+ self.percent_pass_filter_align = (
+ float(lane['PrcAlign']),
+ float(lane['PrcAlignSD']))
+ self.percent_error_rate = (
+ float(lane['ErrRatePhiX']),
+ float(lane['ErrRatePhiXSD']),)
+
def tonumber(v):
"""
def make_aligned_config_1_12(aligned_dir):
"""This is rouglhly equivalent to the old gerald file"""
- source = os.path.join(TESTDATA_DIR, 'aligned_config_1_12.xml')
+ source = os.path.join(TESTDATA_DIR, '1_12', 'aligned_config_1_12.xml')
destination = os.path.join(aligned_dir, 'config.xml')
shutil.copy(source, destination)
def make_unaligned_config_1_12(unaligned_dir):
demultiplex_pairs = [ # (src,
# dest),
- (os.path.join(TESTDATA_DIR, 'demultiplex_1.12.4.2.xml'),
- os.path.join(unaligned_dir, 'DemultiplexConfig.xml')),
- (os.path.join(TESTDATA_DIR, 'demultiplexed_bustard_1.12.4.2.xml'),
- os.path.join(unaligned_dir, 'DemultiplexConfig.xml')),
- (os.path.join(TESTDATA_DIR, 'demultiplexed_summary_1.12.4.2.xml'),
+ (os.path.join(TESTDATA_DIR, '1_12', 'demultiplex_1.12.4.2.xml'),
os.path.join(unaligned_dir, 'DemultiplexConfig.xml')),
+ (os.path.join(TESTDATA_DIR, '1_12',
+ 'demultiplexed_bustard_1.12.4.2.xml'),
+ os.path.join(unaligned_dir, 'DemultiplexedBustardConfig.xml')),
+ (os.path.join(TESTDATA_DIR, '1_12',
+ 'demultiplexed_summary_1.12.4.2.xml'),
+ os.path.join(unaligned_dir, 'DemultiplexedBustardSummary.xml')),
]
for src, dest in demultiplex_pairs:
shutil.copy(src, dest)
if not os.path.exists(intensities_dir):
os.mkdir(intensities_dir)
- param_file = os.path.join(TESTDATA_DIR, 'rta_intensities_config_1.12.4.2.xml')
+ param_file = os.path.join(TESTDATA_DIR, '1_12',
+ 'rta_intensities_config_1.12.4.2.xml')
shutil.copy(param_file, os.path.join(intensities_dir, 'RTAConfig.xml'))
return intensities_dir
os.mkdir(basecalls_dir)
make_qseqs(basecalls_dir, basecall_info=ABXX_BASE_CALL_INFO)
- param_file = os.path.join(TESTDATA_DIR, 'rta_basecalls_config_1.12.4.2.xml')
+ param_file = os.path.join(TESTDATA_DIR, '1_12',
+ 'rta_basecalls_config_1.12.4.2.xml')
shutil.copy(param_file, os.path.join(basecalls_dir, 'config.xml'))
return basecalls_dir
destination = os.path.join(gerald_dir, 'Summary.xml')
shutil.copy(source, destination)
+def make_status_rta1_12(datadir):
+ sourcedir = os.path.join(TESTDATA_DIR, '1_12')
+ status_htm = os.path.join(sourcedir, 'Status.htm')
+ destination = os.path.join(datadir, 'Status.htm')
+ shutil.copy(status_htm, destination)
+
+ status_dir = os.path.join(datadir, 'Status_Files')
+ status_source_dir = os.path.join(sourcedir, 'Status_Files')
+ shutil.copytree(status_source_dir, status_dir)
+
+ report_source_dir = os.path.join(sourcedir, 'reports')
+ report_dir = os.path.join(datadir, 'reports')
+ shutil.copytree(report_source_dir, report_dir)
def make_eland_results(gerald_dir):
eland_result = """>HWI-EAS229_24_207BTAAXX:1:7:599:759 ACATAGNCACAGACATAAACATAGACATAGAC U0 1 1 3 chrUextra.fa 28189829 R D.
>HWI-EAS229_24_207BTAAXX:1:7:205:842 AAACAANNCTCCCAAACACGTAAACTGGAAAA U1 0 1 0 Lambda.fa 8796855 R DD 24T
"""
for i in range(1,9):
- pathname = os.path.join(gerald_dir,
+ pathname = os.path.join(gerald_dir,
's_%d_eland_result.txt' % (i,))
f = open(pathname, 'w')
f.write(eland_result)
f.close()
-
+
class RunfolderTests(unittest.TestCase):
"""
Test components of the runfolder processing code
# make a fake runfolder directory
self.temp_dir = tempfile.mkdtemp(prefix='tmp_runfolder_')
- self.runfolder_dir = os.path.join(self.temp_dir,
+ self.runfolder_dir = os.path.join(self.temp_dir,
'080102_HWI-EAS229_0010_207BTAAXX')
os.mkdir(self.runfolder_dir)
self.data_dir = os.path.join(self.runfolder_dir, 'Data')
os.mkdir(self.data_dir)
- self.firecrest_dir = os.path.join(self.data_dir,
+ self.firecrest_dir = os.path.join(self.data_dir,
'C1-33_Firecrest1.8.28_12-04-2008_diane'
)
os.mkdir(self.firecrest_dir)
matrix_filename = os.path.join(self.matrix_dir, 's_matrix')
make_matrix(matrix_filename)
- self.bustard_dir = os.path.join(self.firecrest_dir,
+ self.bustard_dir = os.path.join(self.firecrest_dir,
'Bustard1.8.28_12-04-2008_diane')
os.mkdir(self.bustard_dir)
make_phasing_params(self.bustard_dir)
-
+
self.gerald_dir = os.path.join(self.bustard_dir,
'GERALD_12-04-2008_diane')
os.mkdir(self.gerald_dir)
Construct a firecrest object
"""
f = firecrest.firecrest(self.firecrest_dir)
+ self.failUnlessEqual(f.software, 'Firecrest')
self.failUnlessEqual(f.version, '1.8.28')
self.failUnlessEqual(f.start, 1)
self.failUnlessEqual(f.stop, 33)
xml_str = ElementTree.tostring(xml)
f2 = firecrest.Firecrest(xml=xml)
- self.failUnlessEqual(f.version, f2.version)
- self.failUnlessEqual(f.start, f2.start)
- self.failUnlessEqual(f.stop, f2.stop)
- self.failUnlessEqual(f.user, f2.user)
- self.failUnlessEqual(f.date, f2.date)
+ self.failUnlessEqual(f.software, f2.software)
+ self.failUnlessEqual(f.version, f2.version)
+ self.failUnlessEqual(f.start, f2.start)
+ self.failUnlessEqual(f.stop, f2.stop)
+ self.failUnlessEqual(f.user, f2.user)
+ self.failUnlessEqual(f.date, f2.date)
def test_bustard(self):
"""
construct a bustard object
"""
b = bustard.bustard(self.bustard_dir)
+ self.failUnlessEqual(b.software, 'Bustard')
self.failUnlessEqual(b.version, '1.8.28')
self.failUnlessEqual(b.date, date(2008,4,12))
self.failUnlessEqual(b.user, 'diane')
self.failUnlessEqual(len(b.phasing), 8)
self.failUnlessAlmostEqual(b.phasing[8].phasing, 0.0099)
-
+
xml = b.get_elements()
b2 = bustard.Bustard(xml=xml)
- self.failUnlessEqual(b.version, b2.version)
- self.failUnlessEqual(b.date, b2.date )
- self.failUnlessEqual(b.user, b2.user)
+ self.failUnlessEqual(b.software, b2.software)
+ self.failUnlessEqual(b.version, b2.version)
+ self.failUnlessEqual(b.date, b2.date )
+ self.failUnlessEqual(b.user, b2.user)
self.failUnlessEqual(len(b.phasing), len(b2.phasing))
for key in b.phasing.keys():
- self.failUnlessEqual(b.phasing[key].lane,
+ self.failUnlessEqual(b.phasing[key].lane,
b2.phasing[key].lane)
- self.failUnlessEqual(b.phasing[key].phasing,
+ self.failUnlessEqual(b.phasing[key].phasing,
b2.phasing[key].phasing)
- self.failUnlessEqual(b.phasing[key].prephasing,
+ self.failUnlessEqual(b.phasing[key].prephasing,
b2.phasing[key].prephasing)
def test_gerald(self):
# need to update gerald and make tests for it
- g = gerald.gerald(self.gerald_dir)
+ g = gerald.gerald(self.gerald_dir)
- self.failUnlessEqual(g.version,
- '@(#) Id: GERALD.pl,v 1.68.2.2 2007/06/13 11:08:49 km Exp')
+ self.failUnlessEqual(g.software, 'GERALD')
+ self.failUnlessEqual(g.version, '1.68.2.2')
self.failUnlessEqual(g.date, datetime(2008,4,19,19,8,30))
self.failUnlessEqual(len(g.lanes), len(g.lanes.keys()))
self.failUnlessEqual(len(g.lanes), len(g.lanes.items()))
-
- # list of genomes, matches what was defined up in
+
+ # list of genomes, matches what was defined up in
# make_gerald_config.
# the first None is to offset the genomes list to be 1..9
# instead of pythons default 0..8
self.failUnlessEqual(cur_lane.use_bases, 'Y'*32)
# test data extracted from summary file
- clusters = [None,
+ clusters = [None,
(17421, 2139), (20311, 2402), (20193, 2399), (15537, 2531),
(32047, 3356), (32946, 4753), (39504, 4171), (37998, 3792)]
for lane in g_eland.results[0].keys():
g_results = g_eland.results[0][lane]
g2_results = g2_eland.results[0][lane]
- self.failUnlessEqual(g_results.reads,
+ self.failUnlessEqual(g_results.reads,
g2_results.reads)
- self.failUnlessEqual(len(g_results.mapped_reads),
+ self.failUnlessEqual(len(g_results.mapped_reads),
len(g2_results.mapped_reads))
for k in g_results.mapped_reads.keys():
self.failUnlessEqual(g_results.mapped_reads[k],
g2_results.mapped_reads[k])
- self.failUnlessEqual(len(g_results.match_codes),
+ self.failUnlessEqual(len(g_results.match_codes),
len(g2_results.match_codes))
for k in g_results.match_codes.keys():
self.failUnlessEqual(g_results.match_codes[k],
genome_maps = { 1:dm3_map, 2:dm3_map, 3:dm3_map, 4:dm3_map,
5:dm3_map, 6:dm3_map, 7:dm3_map, 8:dm3_map }
eland = gerald.eland(self.gerald_dir, genome_maps=genome_maps)
-
+
for i in range(1,9):
lane = eland.results[0][i]
self.failUnlessEqual(lane.reads, 4)
self.failUnlessEqual(len(l1.match_codes), 9)
self.failUnlessEqual(len(l1.match_codes), len(l2.match_codes))
for k in l1.match_codes.keys():
- self.failUnlessEqual(l1.match_codes[k],
+ self.failUnlessEqual(l1.match_codes[k],
l2.match_codes[k])
def test_runfolder(self):
runs = runfolder.get_runs(self.runfolder_dir)
-
+
# do we get the flowcell id from the filename?
self.failUnlessEqual(len(runs), 1)
self.failUnlessEqual(runs[0].name, 'run_207BTAAXX_2008-04-19.xml')
runs = runfolder.get_runs(self.runfolder_dir)
self.failUnlessEqual(len(runs), 1)
self.failUnlessEqual(runs[0].name, 'run_207BTAAXY_2008-04-19.xml')
-
+
r1 = runs[0]
xml = r1.get_elements()
xml_str = ElementTree.tostring(xml)
self.failIfEqual(r2.image_analysis, None)
self.failIfEqual(r2.bustard, None)
self.failIfEqual(r2.gerald, None)
-
+
def suite():
return unittest.makeSuite(RunfolderTests,'test')
if __name__ == "__main__":
unittest.main(defaultTest="suite")
-
+
from htsworkflow.pipelines.test.simulate_runfolder import *
-
+
def make_summary_htm(gerald_dir):
summary_htm="""<!--RUN_TIME Wed Jul 2 06:47:44 2008 -->
<!--SOFTWARE_VERSION @(#) $Id: jerboa.pl,v 1.94 2007/12/04 09:59:07 rshaw Exp $-->
>HWI-EAS229_24_207BTAAXX:1:7:205:842 AAACAANNCTCCCAAACACGTAAACTGGAAAA U1 0 1 0 Lambda.fa 8796855 R DD 24T
"""
for i in range(1,9):
- pathname = os.path.join(gerald_dir,
+ pathname = os.path.join(gerald_dir,
's_%d_eland_result.txt' % (i,))
f = open(pathname, 'w')
f.write(eland_result)
# make a fake runfolder directory
temp_dir = tempfile.mkdtemp(prefix='tmp_runfolder_')
- runfolder_dir = os.path.join(temp_dir,
+ runfolder_dir = os.path.join(temp_dir,
'080102_HWI-EAS229_0010_207BTAAXX')
os.mkdir(runfolder_dir)
data_dir = os.path.join(runfolder_dir, 'Data')
os.mkdir(data_dir)
- firecrest_dir = os.path.join(data_dir,
+ firecrest_dir = os.path.join(data_dir,
'C1-33_Firecrest1.8.28_12-04-2008_diane'
)
os.mkdir(firecrest_dir)
matrix_filename = os.path.join(matrix_dir, 's_matrix.txt')
make_matrix(matrix_filename)
- bustard_dir = os.path.join(firecrest_dir,
+ bustard_dir = os.path.join(firecrest_dir,
'Bustard1.8.28_12-04-2008_diane')
os.mkdir(bustard_dir)
make_phasing_params(bustard_dir)
obj.matrix_dir = matrix_dir
obj.bustard_dir = bustard_dir
obj.gerald_dir = gerald_dir
-
-
+
+
class RunfolderTests(unittest.TestCase):
"""
Test components of the runfolder processing code
Construct a firecrest object
"""
f = firecrest.firecrest(self.firecrest_dir)
+ self.failUnlessEqual(f.software, 'Firecrest')
self.failUnlessEqual(f.version, '1.8.28')
self.failUnlessEqual(f.start, 1)
self.failUnlessEqual(f.stop, 33)
xml_str = ElementTree.tostring(xml)
f2 = firecrest.Firecrest(xml=xml)
- self.failUnlessEqual(f.version, f2.version)
- self.failUnlessEqual(f.start, f2.start)
- self.failUnlessEqual(f.stop, f2.stop)
- self.failUnlessEqual(f.user, f2.user)
- self.failUnlessEqual(f.date, f2.date)
+ self.failUnlessEqual(f.software, f2.software)
+ self.failUnlessEqual(f.version, f2.version)
+ self.failUnlessEqual(f.start, f2.start)
+ self.failUnlessEqual(f.stop, f2.stop)
+ self.failUnlessEqual(f.user, f2.user)
+ self.failUnlessEqual(f.date, f2.date)
def test_bustard(self):
"""
construct a bustard object
"""
b = bustard.bustard(self.bustard_dir)
+ self.failUnlessEqual(b.software, 'Bustard')
self.failUnlessEqual(b.version, '1.8.28')
self.failUnlessEqual(b.date, date(2008,4,12))
self.failUnlessEqual(b.user, 'diane')
self.failUnlessEqual(len(b.phasing), 8)
self.failUnlessAlmostEqual(b.phasing[8].phasing, 0.0099)
-
+
xml = b.get_elements()
b2 = bustard.Bustard(xml=xml)
- self.failUnlessEqual(b.version, b2.version)
- self.failUnlessEqual(b.date, b2.date )
- self.failUnlessEqual(b.user, b2.user)
+ self.failUnlessEqual(b.software, b2.software)
+ self.failUnlessEqual(b.version, b2.version)
+ self.failUnlessEqual(b.date, b2.date )
+ self.failUnlessEqual(b.user, b2.user)
self.failUnlessEqual(len(b.phasing), len(b2.phasing))
for key in b.phasing.keys():
- self.failUnlessEqual(b.phasing[key].lane,
+ self.failUnlessEqual(b.phasing[key].lane,
b2.phasing[key].lane)
- self.failUnlessEqual(b.phasing[key].phasing,
+ self.failUnlessEqual(b.phasing[key].phasing,
b2.phasing[key].phasing)
- self.failUnlessEqual(b.phasing[key].prephasing,
+ self.failUnlessEqual(b.phasing[key].prephasing,
b2.phasing[key].prephasing)
def test_gerald(self):
# need to update gerald and make tests for it
- g = gerald.gerald(self.gerald_dir)
+ g = gerald.gerald(self.gerald_dir)
- self.failUnlessEqual(g.version,
- '@(#) Id: GERALD.pl,v 1.68.2.2 2007/06/13 11:08:49 km Exp')
+ self.failUnlessEqual(g.software, 'GERALD')
+ self.failUnlessEqual(g.version, '1.68.2.2')
self.failUnlessEqual(g.date, datetime(2008,4,19,19,8,30))
self.failUnlessEqual(len(g.lanes), len(g.lanes.keys()))
self.failUnlessEqual(len(g.lanes), len(g.lanes.items()))
-
- # list of genomes, matches what was defined up in
+
+ # list of genomes, matches what was defined up in
# make_gerald_config.
# the first None is to offset the genomes list to be 1..9
# instead of pythons default 0..8
self.failUnlessEqual(cur_lane.use_bases, 'Y'*32)
# test data extracted from summary file
- clusters = [None,
- (96483, 9074), (133738, 7938),
- (152142, 10002), (15784, 2162),
+ clusters = [None,
+ (96483, 9074), (133738, 7938),
+ (152142, 10002), (15784, 2162),
(119735, 8465), (152177, 8146),
(84649, 7325), (54622, 4812),]
for lane in g_eland.results[0].keys():
g_results = g_eland.results[0][lane]
g2_results = g2_eland.results[0][lane]
- self.failUnlessEqual(g_results.reads,
+ self.failUnlessEqual(g_results.reads,
g2_results.reads)
- self.failUnlessEqual(len(g_results.mapped_reads),
+ self.failUnlessEqual(len(g_results.mapped_reads),
len(g2_results.mapped_reads))
for k in g_results.mapped_reads.keys():
self.failUnlessEqual(g_results.mapped_reads[k],
g2_results.mapped_reads[k])
- self.failUnlessEqual(len(g_results.match_codes),
+ self.failUnlessEqual(len(g_results.match_codes),
len(g2_results.match_codes))
for k in g_results.match_codes.keys():
self.failUnlessEqual(g_results.match_codes[k],
genome_maps = { 1:dm3_map, 2:dm3_map, 3:dm3_map, 4:dm3_map,
5:dm3_map, 6:dm3_map, 7:dm3_map, 8:dm3_map }
eland = gerald.eland(self.gerald_dir, genome_maps=genome_maps)
-
+
for i in range(1,9):
lane = eland.results[0][i]
self.failUnlessEqual(lane.reads, 4)
self.failUnlessEqual(len(l1.match_codes), 9)
self.failUnlessEqual(len(l1.match_codes), len(l2.match_codes))
for k in l1.match_codes.keys():
- self.failUnlessEqual(l1.match_codes[k],
+ self.failUnlessEqual(l1.match_codes[k],
l2.match_codes[k])
def test_runfolder(self):
runs = runfolder.get_runs(self.runfolder_dir)
-
+
# do we get the flowcell id from the filename?
self.failUnlessEqual(len(runs), 1)
self.failUnlessEqual(runs[0].name, 'run_207BTAAXX_2008-04-19.xml')
runs = runfolder.get_runs(self.runfolder_dir)
self.failUnlessEqual(len(runs), 1)
self.failUnlessEqual(runs[0].name, 'run_207BTAAXY_2008-04-19.xml')
-
+
r1 = runs[0]
xml = r1.get_elements()
xml_str = ElementTree.tostring(xml)
self.failIfEqual(r2.image_analysis, None)
self.failIfEqual(r2.bustard, None)
self.failIfEqual(r2.gerald, None)
-
+
def suite():
return unittest.makeSuite(RunfolderTests,'test')
if __name__ == "__main__":
unittest.main(defaultTest="suite")
-
+
Construct a firecrest object
"""
f = firecrest.firecrest(self.image_analysis_dir)
+ self.failUnlessEqual(f.software, 'Firecrest')
self.failUnlessEqual(f.version, '1.9.6')
self.failUnlessEqual(f.start, 1)
self.failUnlessEqual(f.stop, 37)
xml_str = ElementTree.tostring(xml)
f2 = firecrest.Firecrest(xml=xml)
+ self.failUnlessEqual(f.software, f2.software)
self.failUnlessEqual(f.version, f2.version)
self.failUnlessEqual(f.start, f2.start)
self.failUnlessEqual(f.stop, f2.stop)
construct a bustard object
"""
b = bustard.bustard(self.bustard_dir)
+ self.failUnlessEqual(b.software, 'Bustard')
self.failUnlessEqual(b.version, '1.9.6')
self.failUnlessEqual(b.date, date(2008,10,20))
self.failUnlessEqual(b.user, 'diane')
xml = b.get_elements()
b2 = bustard.Bustard(xml=xml)
+ self.failUnlessEqual(b.software, b2.software)
self.failUnlessEqual(b.version, b2.version)
self.failUnlessEqual(b.date, b2.date )
self.failUnlessEqual(b.user, b2.user)
# need to update gerald and make tests for it
g = gerald.gerald(self.gerald_dir)
- self.failUnlessEqual(g.version,
- '@(#) Id: GERALD.pl,v 1.171 2008/05/19 17:36:14 mzerara Exp')
+ self.failUnlessEqual(g.software, 'GERALD')
+ self.failUnlessEqual(g.version, '1.171')
self.failUnlessEqual(g.date, datetime(2009,2,22,21,15,59))
self.failUnlessEqual(len(g.lanes), len(g.lanes.keys()))
self.failUnlessEqual(len(g.lanes), len(g.lanes.items()))
# make_gerald_config.
# the first None is to offset the genomes list to be 1..9
# instead of pythons default 0..8
- genomes = [None,
- '/g/mm9',
- '/g/mm9',
- '/g/elegans190',
+ genomes = [None,
+ '/g/mm9',
+ '/g/mm9',
+ '/g/elegans190',
'/g/arabidopsis01222004',
- '/g/mm9',
- '/g/mm9',
- '/g/mm9',
+ '/g/mm9',
+ '/g/mm9',
+ '/g/mm9',
'/g/mm9', ]
# test lane specific parameters from gerald config file
g2 = gerald.Gerald(xml=xml)
# do it all again after extracting from the xml file
+ self.failUnlessEqual(g.software, g2.software)
self.failUnlessEqual(g.version, g2.version)
self.failUnlessEqual(g.date, g2.date)
self.failUnlessEqual(len(g.lanes.keys()), len(g2.lanes.keys()))
def test_bustard(self):
"""Construct a bustard object"""
b = bustard.bustard(self.bustard_dir)
+ self.failUnlessEqual(b.software, 'RTA')
self.failUnlessEqual(b.version, '1.10.36.0')
self.failUnlessEqual(b.date, None)
self.failUnlessEqual(b.user, None)
xml = b.get_elements()
b2 = bustard.Bustard(xml=xml)
- self.failUnlessEqual(b.version, b2.version)
- self.failUnlessEqual(b.date, b2.date )
- self.failUnlessEqual(b.user, b2.user)
+ self.failUnlessEqual(b.software, b2.software)
+ self.failUnlessEqual(b.version, b2.version)
+ self.failUnlessEqual(b.date, b2.date )
+ self.failUnlessEqual(b.user, b2.user)
def test_gerald(self):
# need to update gerald and make tests for it
g = gerald.gerald(self.gerald_dir)
- self.failUnlessEqual(g.version,
- 'CASAVA-1.7.0')
+ self.failUnlessEqual(g.software, 'CASAVA')
+ self.failUnlessEqual(g.version, '1.7.0')
self.failUnlessEqual(g.date, datetime(2011,5,2,19,19,49))
self.failUnlessEqual(len(g.lanes), len(g.lanes.keys()))
self.failUnlessEqual(len(g.lanes), len(g.lanes.items()))
g2 = gerald.Gerald(xml=xml)
# do it all again after extracting from the xml file
+ self.failUnlessEqual(g.software, g2.software)
self.failUnlessEqual(g.version, g2.version)
self.failUnlessEqual(g.date, g2.date)
self.failUnlessEqual(len(g.lanes.keys()), len(g2.lanes.keys()))
Construct a firecrest object
"""
i = ipar.ipar(self.image_analysis_dir)
+ self.failUnlessEqual(i.software, 'IPAR')
self.failUnlessEqual(i.version, '2.01.192.0')
self.failUnlessEqual(i.start, 1)
self.failUnlessEqual(i.stop, 37)
xml_str = ElementTree.tostring(xml)
i2 = ipar.IPAR(xml=xml)
+ self.failUnlessEqual(i.software, i2.software)
self.failUnlessEqual(i.version, i2.version)
self.failUnlessEqual(i.start, i2.start)
self.failUnlessEqual(i.stop, i2.stop)
construct a bustard object
"""
b = bustard.bustard(self.bustard_dir)
+ self.failUnlessEqual(b.software, 'Bustard')
self.failUnlessEqual(b.version, '1.8.28')
self.failUnlessEqual(b.date, date(2008,4,12))
self.failUnlessEqual(b.user, 'diane')
xml = b.get_elements()
b2 = bustard.Bustard(xml=xml)
+ self.failUnlessEqual(b.software, b2.software)
self.failUnlessEqual(b.version, b2.version)
self.failUnlessEqual(b.date, b2.date )
self.failUnlessEqual(b.user, b2.user)
# need to update gerald and make tests for it
g = gerald.gerald(self.gerald_dir)
- self.failUnlessEqual(g.version,
- '@(#) Id: GERALD.pl,v 1.171 2008/05/19 17:36:14 mzerara Exp')
+ self.failUnlessEqual(g.software, 'GERALD')
+ self.failUnlessEqual(g.version, '1.171')
self.failUnlessEqual(g.date, datetime(2009,2,22,21,15,59))
self.failUnlessEqual(len(g.lanes), len(g.lanes.keys()))
self.failUnlessEqual(len(g.lanes), len(g.lanes.items()))
# make_gerald_config.
# the first None is to offset the genomes list to be 1..9
# instead of pythons default 0..8
- genomes = [None,
- '/g/mm9',
- '/g/mm9',
- '/g/elegans190',
+ genomes = [None,
+ '/g/mm9',
+ '/g/mm9',
+ '/g/elegans190',
'/g/arabidopsis01222004',
- '/g/mm9',
- '/g/mm9',
- '/g/mm9',
+ '/g/mm9',
+ '/g/mm9',
+ '/g/mm9',
'/g/mm9', ]
# test lane specific parameters from gerald config file
g2 = gerald.Gerald(xml=xml)
# do it all again after extracting from the xml file
+ self.failUnlessEqual(g.software, g2.software)
self.failUnlessEqual(g.version, g2.version)
self.failUnlessEqual(g.date, g2.date)
self.failUnlessEqual(len(g.lanes.keys()), len(g2.lanes.keys()))
Construct a firecrest object
"""
i = ipar.ipar(self.image_analysis_dir)
+ self.failUnlessEqual(i.software, 'IPAR')
self.failUnlessEqual(i.version, '2.01.192.0')
self.failUnlessEqual(i.start, 1)
self.failUnlessEqual(i.stop, 37)
xml_str = ElementTree.tostring(xml)
i2 = ipar.IPAR(xml=xml)
+ self.failUnlessEqual(i.software, i2.software)
self.failUnlessEqual(i.version, i2.version)
self.failUnlessEqual(i.start, i2.start)
self.failUnlessEqual(i.stop, i2.stop)
self.failUnlessAlmostEqual(crosstalk.base['G'][3], -0.02)
b = bustard.bustard(self.bustard_dir)
+ self.failUnlessEqual(b.software, 'Bustard')
self.failUnlessEqual(b.version, '1.3.2')
self.failUnlessEqual(b.date, date(2008,3,15))
self.failUnlessEqual(b.user, 'diane')
xml = b.get_elements()
b2 = bustard.Bustard(xml=xml)
+ self.failUnlessEqual(b.software, b2.software)
self.failUnlessEqual(b.version, b2.version)
self.failUnlessEqual(b.date, b2.date )
self.failUnlessEqual(b.user, b2.user)
# need to update gerald and make tests for it
g = gerald.gerald(self.gerald_dir)
- self.failUnlessEqual(g.version,
- '@(#) Id: GERALD.pl,v 1.171 2008/05/19 17:36:14 mzerara Exp')
+ self.failUnlessEqual(g.software, 'GERALD')
+ self.failUnlessEqual(g.version, '1.171')
self.failUnlessEqual(g.date, datetime(2009,2,22,21,15,59))
self.failUnlessEqual(len(g.lanes), len(g.lanes.keys()))
self.failUnlessEqual(len(g.lanes), len(g.lanes.items()))
# make_gerald_config.
# the first None is to offset the genomes list to be 1..9
# instead of pythons default 0..8
- genomes = [None,
- '/g/mm9',
- '/g/mm9',
- '/g/elegans190',
+ genomes = [None,
+ '/g/mm9',
+ '/g/mm9',
+ '/g/elegans190',
'/g/arabidopsis01222004',
- '/g/mm9',
- '/g/mm9',
- '/g/mm9',
+ '/g/mm9',
+ '/g/mm9',
+ '/g/mm9',
'/g/mm9', ]
# test lane specific parameters from gerald config file
g2 = gerald.Gerald(xml=xml)
# do it all again after extracting from the xml file
+ self.failUnlessEqual(g.software, g2.software)
self.failUnlessEqual(g.version, g2.version)
self.failUnlessEqual(g.date, g2.date)
self.failUnlessEqual(len(g.lanes.keys()), len(g2.lanes.keys()))
Construct a firecrest object
"""
f = firecrest.firecrest(self.image_analysis_dir)
+ self.failUnlessEqual(f.software, 'Firecrest')
self.failUnlessEqual(f.version, '1.9.6')
self.failUnlessEqual(f.start, 1)
self.failUnlessEqual(f.stop, 152)
self.failUnlessEqual(f.user, 'diane')
- # As of 2008-12-8, the date was being set in
+ # As of 2008-12-8, the date was being set in
# simulate_runfolder.make_firecrest_dir
self.failUnlessEqual(f.date, date(2008,4,12))
xml_str = ElementTree.tostring(xml)
f2 = firecrest.Firecrest(xml=xml)
+ self.failUnlessEqual(f.software, f2.software)
self.failUnlessEqual(f.version, f2.version)
self.failUnlessEqual(f.start, f2.start)
self.failUnlessEqual(f.stop, f2.stop)
construct a bustard object
"""
b = bustard.bustard(self.bustard_dir)
+ self.failUnlessEqual(b.software, 'Bustard')
self.failUnlessEqual(b.version, '1.8.28')
self.failUnlessEqual(b.date, date(2008,4,12))
self.failUnlessEqual(b.user, 'diane')
xml = b.get_elements()
b2 = bustard.Bustard(xml=xml)
+ self.failUnlessEqual(b.software, b2.software)
self.failUnlessEqual(b.version, b2.version)
self.failUnlessEqual(b.date, b2.date )
self.failUnlessEqual(b.user, b2.user)
# need to update gerald and make tests for it
g = gerald.gerald(self.gerald_dir)
- self.failUnlessEqual(g.version,
- '@(#) Id: GERALD.pl,v 1.171 2008/05/19 17:36:14 mzerara Exp')
+ self.failUnlessEqual(g.software, 'GERALD')
+ self.failUnlessEqual(g.version, '1.171')
self.failUnlessEqual(g.date, datetime(2009,2,22,21,15,59))
self.failUnlessEqual(len(g.lanes), len(g.lanes.keys()))
self.failUnlessEqual(len(g.lanes), len(g.lanes.items()))
# make_gerald_config.
# the first None is to offset the genomes list to be 1..9
# instead of pythons default 0..8
- genomes = [None,
- '/g/mm9',
- '/g/mm9',
- '/g/elegans190',
+ genomes = [None,
+ '/g/mm9',
+ '/g/mm9',
+ '/g/elegans190',
'/g/arabidopsis01222004',
- '/g/mm9',
- '/g/mm9',
- '/g/mm9',
+ '/g/mm9',
+ '/g/mm9',
+ '/g/mm9',
'/g/mm9', ]
# test lane specific parameters from gerald config file
g2 = gerald.Gerald(xml=xml)
# do it all again after extracting from the xml file
+ self.failUnlessEqual(g.software, g2.software)
self.failUnlessEqual(g.version, g2.version)
self.failUnlessEqual(g.date, g2.date)
self.failUnlessEqual(len(g.lanes.keys()), len(g2.lanes.keys()))
# need to update gerald and make tests for it
g = gerald.gerald(self.gerald_dir)
- self.failUnlessEqual(g.version,
- '@(#) Id: GERALD.pl,v 1.171 2008/05/19 17:36:14 mzerara Exp')
+ self.failUnlessEqual(g.version, '1.171')
self.failUnlessEqual(g.date, datetime(2009,2,22,21,15,59))
self.failUnlessEqual(len(g.lanes), len(g.lanes.keys()))
self.failUnlessEqual(len(g.lanes), len(g.lanes.items()))
# make_gerald_config.
# the first None is to offset the genomes list to be 1..9
# instead of pythons default 0..8
- genomes = [None,
- '/g/mm9',
- '/g/mm9',
- '/g/elegans190',
+ genomes = [None,
+ '/g/mm9',
+ '/g/mm9',
+ '/g/elegans190',
'/g/arabidopsis01222004',
- '/g/mm9',
- '/g/mm9',
- '/g/mm9',
+ '/g/mm9',
+ '/g/mm9',
+ '/g/mm9',
'/g/mm9', ]
# test lane specific parameters from gerald config file
# The only thing different from the previous RTA version is
# I'm processing the Summary.xml file
-
+
def test_gerald(self):
# need to update gerald and make tests for it
g = gerald.gerald(self.gerald_dir)
- self.failUnlessEqual(g.version,
- '@(#) Id: GERALD.pl,v 1.171 2008/05/19 17:36:14 mzerara Exp')
+ self.failUnlessEqual(g.software, 'GERALD')
+ self.failUnlessEqual(g.version, '1.171')
self.failUnlessEqual(g.date, datetime(2009,2,22,21,15,59))
self.failUnlessEqual(len(g.lanes), len(g.lanes.keys()))
self.failUnlessEqual(len(g.lanes), len(g.lanes.items()))
# make_gerald_config.
# the first None is to offset the genomes list to be 1..9
# instead of pythons default 0..8
- genomes = [None,
- '/g/mm9',
- '/g/mm9',
- '/g/elegans190',
+ genomes = [None,
+ '/g/mm9',
+ '/g/mm9',
+ '/g/elegans190',
'/g/arabidopsis01222004',
- '/g/mm9',
- '/g/mm9',
- '/g/mm9',
+ '/g/mm9',
+ '/g/mm9',
+ '/g/mm9',
'/g/mm9', ]
# test lane specific parameters from gerald config file
return
# do it all again after extracting from the xml file
+ self.failUnlessEqual(g.software, g2.software)
self.failUnlessEqual(g.version, g2.version)
self.failUnlessEqual(g.date, g2.date)
self.failUnlessEqual(len(g.lanes.keys()), len(g2.lanes.keys()))
def test_bustard(self):
"""Construct a bustard object"""
b = bustard.bustard(self.bustard_dir)
+ self.failUnlessEqual(b.software, 'RTA')
self.failUnlessEqual(b.version, '1.8.70.0')
self.failUnlessEqual(b.date, None)
self.failUnlessEqual(b.user, None)
xml = b.get_elements()
b2 = bustard.Bustard(xml=xml)
+ self.failUnlessEqual(b.software, b2.software)
self.failUnlessEqual(b.version, b2.version)
self.failUnlessEqual(b.date, b2.date )
self.failUnlessEqual(b.user, b2.user)
-
+
def test_gerald(self):
# need to update gerald and make tests for it
g = gerald.gerald(self.gerald_dir)
- self.failUnlessEqual(g.version,
- '@(#) Id: GERALD.pl,v 1.171 2008/05/19 17:36:14 mzerara Exp')
+ self.failUnlessEqual(g.software, 'GERALD')
+ self.failUnlessEqual(g.version, '1.171')
self.failUnlessEqual(g.date, datetime(2009,2,22,21,15,59))
self.failUnlessEqual(len(g.lanes), len(g.lanes.keys()))
self.failUnlessEqual(len(g.lanes), len(g.lanes.items()))
# make_gerald_config.
# the first None is to offset the genomes list to be 1..9
# instead of pythons default 0..8
- genomes = [None,
- '/g/mm9',
- '/g/mm9',
- '/g/elegans190',
+ genomes = [None,
+ '/g/mm9',
+ '/g/mm9',
+ '/g/elegans190',
'/g/arabidopsis01222004',
- '/g/mm9',
- '/g/mm9',
- '/g/mm9',
+ '/g/mm9',
+ '/g/mm9',
+ '/g/mm9',
'/g/mm9', ]
# test lane specific parameters from gerald config file
return
# do it all again after extracting from the xml file
+ self.failUnlessEqual(g.software, g2.version)
self.failUnlessEqual(g.version, g2.version)
self.failUnlessEqual(g.date, g2.date)
self.failUnlessEqual(len(g.lanes.keys()), len(g2.lanes.keys()))
#!/usr/bin/env python
from datetime import datetime, date
+import logging
import os
import tempfile
import shutil
os.mkdir(data_dir)
intensities_dir = make_rta_intensities_1_12(data_dir)
+ make_status_rta1_12(data_dir)
basecalls_dir = make_rta_basecalls_1_12(intensities_dir)
make_matrix_dir_rta_1_12(basecalls_dir)
def test_bustard(self):
"""Construct a bustard object"""
b = bustard.bustard(self.bustard_dir)
- self.failUnlessEqual(b.version, '1.8.70.0')
+ self.failUnlessEqual(b.software, 'RTA')
+ self.failUnlessEqual(b.version, '1.12.4.2')
self.failUnlessEqual(b.date, None)
self.failUnlessEqual(b.user, None)
self.failUnlessEqual(len(b.phasing), 0)
xml = b.get_elements()
b2 = bustard.Bustard(xml=xml)
- self.failUnlessEqual(b.version, b2.version)
- self.failUnlessEqual(b.date, b2.date )
- self.failUnlessEqual(b.user, b2.user)
+ self.failUnlessEqual(b.software, b2.software)
+ self.failUnlessEqual(b.version, b2.version)
+ self.failUnlessEqual(b.date, b2.date )
+ self.failUnlessEqual(b.user, b2.user)
def test_gerald(self):
# need to update gerald and make tests for it
g = gerald.gerald(self.gerald_dir)
- self.failUnlessEqual(g.version,
- '@(#) Id: GERALD.pl,v 1.171 2008/05/19 17:36:14 mzerara Exp')
- self.failUnlessEqual(g.date, datetime(2009,2,22,21,15,59))
+ self.failUnlessEqual(g.software, 'CASAVA')
+ self.failUnlessEqual(g.version, '1.8.1')
self.failUnlessEqual(len(g.lanes), len(g.lanes.keys()))
self.failUnlessEqual(len(g.lanes), len(g.lanes.items()))
-
# list of genomes, matches what was defined up in
# make_gerald_config.
# the first None is to offset the genomes list to be 1..9
# instead of pythons default 0..8
- genomes = [None,
- '/g/mm9',
- '/g/mm9',
- '/g/elegans190',
- '/g/arabidopsis01222004',
- '/g/mm9',
- '/g/mm9',
- '/g/mm9',
- '/g/mm9', ]
-
# test lane specific parameters from gerald config file
- for i in range(1,9):
- cur_lane = g.lanes[i]
- self.failUnlessEqual(cur_lane.analysis, 'eland_extended')
- self.failUnlessEqual(cur_lane.eland_genome, genomes[i])
- self.failUnlessEqual(cur_lane.read_length, '37')
- self.failUnlessEqual(cur_lane.use_bases, 'Y'*37)
-
- # I want to be able to use a simple iterator
- for l in g.lanes.values():
- self.failUnlessEqual(l.analysis, 'eland_extended')
- self.failUnlessEqual(l.read_length, '37')
- self.failUnlessEqual(l.use_bases, 'Y'*37)
+
+ undetermined = g.lanes['Undetermined_indices']
+ self.failUnlessEqual(undetermined.analysis, 'none')
+ self.failUnlessEqual(undetermined.read_length, None)
+ self.failUnlessEqual(undetermined.use_bases, None)
+
+ project = g.lanes['12383']
+ self.failUnlessEqual(project.analysis, 'eland_extended')
+ self.failUnlessEqual(project.eland_genome, '/g/hg18/chromosomes/')
+ self.failUnlessEqual(project.read_length, '49')
+ self.failUnlessEqual(project.use_bases, 'y'*49+'n')
# test data extracted from summary file
clusters = [None,
- (281331, 11169), (203841, 13513),
- (220889, 15653), (137294, 14666),
- (129388, 14525), (262092, 10751),
- (185754, 13503), (233765, 9537),]
+ (3878755, 579626.0), (3920639, 1027332.4),
+ (5713049, 876187.3), (5852907, 538640.6),
+ (4006751, 1265247.4), (5678021, 627070.7),
+ (1854131, 429053.2), (4777517, 592904.0),
+ ]
- self.failUnlessEqual(len(g.summary), 1)
+ self.failUnlessEqual(len(g.summary), 2)
for i in range(1,9):
summary_lane = g.summary[0][i]
self.failUnlessEqual(summary_lane.cluster, clusters[i])
return
# do it all again after extracting from the xml file
+ self.failUnlessEqual(g.software, g2.software)
self.failUnlessEqual(g.version, g2.version)
self.failUnlessEqual(g.date, g2.date)
self.failUnlessEqual(len(g.lanes.keys()), len(g2.lanes.keys()))
return unittest.makeSuite(RunfolderTests,'test')
if __name__ == "__main__":
- #unittest.main(defaultTest="suite")
- class Test(object): pass
- t = Test()
- make_runfolder(t)
- print ('path ' + t.runfolder_dir)
+ logging.basicConfig(level=logging.WARN)
+ unittest.main(defaultTest="suite")
def test_xml_summary_file(self):
pathname = os.path.join(TESTDATA_DIR, 'Summary-casava1.7.xml')
- s = summary.Summary(pathname)
+ s = summary.SummaryGA(pathname)
self.failUnlessEqual(len(s.lane_results[0]), 8)
self.failUnlessEqual(s.lane_results[0][1].cluster, (1073893, 146344))
def test_html_summary_file(self):
pathname = os.path.join(TESTDATA_DIR, 'Summary-ipar130.htm')
- s = summary.Summary(pathname)
+ s = summary.SummaryGA(pathname)
self.failUnlessEqual(len(s.lane_results[0]), 8)
self.failUnlessEqual(s.lane_results[0][1].cluster, (126910, 4300))
def test_hiseq_sample_summary_file(self):
pathname = os.path.join(TESTDATA_DIR, 'sample_summary_1_12.htm')
- s = summary.Summary(pathname)
+ s = summary.SummaryGA(pathname)
def suite():
return unittest.makeSuite(SummaryTests,'test')
--- /dev/null
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">\r
+<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">\r
+<head>\r
+ <link rel="stylesheet" href="./Status_Files/Status.css" type="text/css" media="screen"/>\r
+ <script src="./Status_Files/Status.js" type="text/javascript"></script>\r
+ <title>Status</title>\r
+</head>\r
+<body>\r
+<table style="border:none"><tr>\r
+ <td><img alt="Refresh" title="Refresh" name="RefreshBtn" height="25" width="25" src="./Status_Files/RefreshBtn/r1.png" onmouseout="this.src='./Status_Files/RefreshBtn/r1.png'" onmouseover="this.src='./Status_Files/RefreshBtn/r2.png'" onmousedown="this.src='./Status_Files/RefreshBtn/r3.png'" onmouseup="this.src='./Status_Files/RefreshBtn/r2.png'" onclick="window.location.reload(true)" /> </td>\r
+ <td id="StatUpdateDiv" >\r
+ <table class="StatusTable"><tr>\r
+ <th>Total:</th><td>0</td><th>Extracted:</th><td>0</td><th>Called:</th><td>0</td>\r
+ <th>Scored:</th><td>0</td><th>Copied:</th><td>0</td><th>Err.Rated:</th><td>0</td>\r
+ </tr></table></td> \r
+ <td id="RunNameTD">Loading Run Data ...</td>\r
+ </tr></table>\r
+ <script type="text/javascript">\r
+ loadXSLTable('./reports/StatusUpdate.xml', './Status_Files/StatusUpdate.xsl', 'StatUpdateDiv');\r
+ runName = xslTransform(loadXMLDoc('./reports/Status.xml'), loadXMLDoc('./Status_Files/RunName.xsl'));\r
+ document.getElementById("RunNameTD").innerHTML = runName;\r
+ document.title = runName + " Status";\r
+</script>\r
+<ul id="tabmenu">\r
+ <li><a href="./Status_Files/RunInfo.htm">Run Info</a></li>\r
+ <li><a class="selected" href="Status.htm">Tile Status</a></li>\r
+ <li><a href="./Status_Files/Charts.htm">Charts</a></li>\r
+ <li><a href="./Status_Files/Summary.htm">Summary</a></li>\r
+ <li><a class="space">Plots:</a></li>\r
+ <li><a href="./Status_Files/ByLane.htm">Cluster Density</a></li>\r
+ <li><a href="./Status_Files/ByCycle.htm">Data By Cycle</a></li>\r
+</ul>\r
+<div id="container">\r
+ <img class="Chart" id="ProcessControlImg" src="./reports/Process Control.png" alt="Cannot display image"/>\r
+</div>\r
+ \r
+</body>\r
+</html>\r
+\r
--- /dev/null
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">\r
+<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">\r
+<head>\r
+ <link rel="stylesheet" href="./Status.css" type="text/css" media="screen"/>\r
+ <script src="./Status.js" type="text/javascript"></script>\r
+ <script src="./ByCycle.js" type="text/javascript"></script>\r
+ <title>Status</title>\r
+</head>\r
+ \r
+<body>\r
+ <table style="border:none"><tr>\r
+ <td><img alt="Refresh" title="Refresh" name="RefreshBtn" height="25" width="25" src="./RefreshBtn/r1.png" onmouseout="this.src='./RefreshBtn/r1.png'" onmouseover="this.src='./RefreshBtn/r2.png'" onmousedown="this.src='./RefreshBtn/r3.png'" onmouseup="this.src='./RefreshBtn/r2.png'" onclick="window.location.reload(true)" /> </td>\r
+ <td id="StatUpdateDiv" >\r
+ <table class="StatusTable"><tr>\r
+ <th>Total:</th><td>0</td><th>Extracted:</th><td>0</td><th>Called:</th><td>0</td>\r
+ <th>Scored:</th><td>0</td><th>Copied:</th><td>0</td><th>Err.Rated:</th><td>0</td>\r
+ </tr></table></td> \r
+ <td id="RunNameTD">Loading Run Data ...</td>\r
+ </tr></table>\r
+ <script type="text/javascript">\r
+ loadXSLTable('../reports/StatusUpdate.xml', './StatusUpdate.xsl', 'StatUpdateDiv');\r
+ var runName = xslTransform(loadXMLDoc('../reports/Status.xml'), loadXMLDoc('./RunName.xsl'));\r
+ document.getElementById("RunNameTD").innerHTML = runName;\r
+ document.title = runName + " Status";\r
+ </script>\r
+\r
+<ul id="tabmenu">\r
+\r
+\r
+ <li><a href="./RunInfo.htm">Run Info</a></li>\r
+ <li><a href="../Status.htm">Tile Status</a></li>\r
+ <li><a href="./Charts.htm">Charts</a></li>\r
+ <li><a href="./Summary.htm">Summary</a></li>\r
+ <li><a class="space">Plots:</a></li>\r
+ <li><a href="./ByLane.htm">Cluster Density</a></li>\r
+ <li><a class="selected" href="./ByCycle.htm">Data By Cycle</a></li>\r
+</ul>\r
+ \r
+<div id="container">\r
+ <form action="" name="Plot1" id="Plot1" style="margin: 0px 0px 0px 0px;">\r
+ <table style="border:none"><tr>\r
+ <td><img style="margin: 0px 0px -5px 0px;" alt="Refresh" name="RefreshBtn" height="25" width="25" src="./RefreshBtn/r1.png" onmouseout="this.src='./RefreshBtn/r1.png'" onmouseover="this.src='./RefreshBtn/r2.png'" onmousedown="this.src='./RefreshBtn/r3.png'" onmouseup="this.src='./RefreshBtn/r2.png'" onclick="changeFrameSrc(Plot1)" /> </td>\r
+ <td><select size="1" name="QCOptDropDown" onchange="changeFrameSrc(this.form)">\r
+ <option value="Intensity" selected="selected">Intensity</option>\r
+ <option value="FWHM">Focus Quality</option>\r
+ <option value="QScore">Quality Score</option>\r
+ <option value="NumGT30">%Q>=30</option>\r
+ <option value="ErrRate">Error Rate</option>\r
+ </select>  </td> \r
+ <td><select size="1" name="lanesDropDown" style="display:inline" onchange="changeFrameSrc(this.form)">\r
+ <option value="L0" selected="selected">All Lanes</option>\r
+ <option value="L1">Lane 1</option>\r
+ <option value="L2">Lane 2</option>\r
+ <option value="L3">Lane 3</option>\r
+ <option value="L4">Lane 4</option>\r
+ <option value="L5">Lane 5</option>\r
+ <option value="L6">Lane 6</option>\r
+ <option value="L7">Lane 7</option>\r
+ <option value="L8">Lane 8</option>\r
+ </select>  </td>\r
+ <td><select size="1" name="baseDropDown" style="display:inline" onchange="changeFrameSrc(this.form)">\r
+ <option value="A">Base A</option>\r
+ <option value="C">Base C</option>\r
+ <option value="G">Base G</option>\r
+ <option value="T">Base T</option>\r
+ </select></td>\r
+ </tr></table> \r
+ <iframe name="Plot1Fr" src="./ByCycleFrame.htm?../reports/ByCycle/Intensity_L0a.png" height="387" width="95%" frameborder="0" >\r
+ <img name="imgPlot" alt="No Data" src="../reports/ByCycle/Intensity_L0a.png"/>\r
+ </iframe >\r
+ </form >\r
+ <form action="" name="Plot2" id="Plot2" style="margin: 0px 0px 0px 0px;">\r
+ <table style="border:none"><tr>\r
+ <td><img style="margin: 0px 0px -5px 0px;" alt="Refresh" name="RefreshBtn" height="25" width="25" src="./RefreshBtn/r1.png" onmouseout="this.src='./RefreshBtn/r1.png'" onmouseover="this.src='./RefreshBtn/r2.png'" onmousedown="this.src='./RefreshBtn/r3.png'" onmouseup="this.src='./RefreshBtn/r2.png'" onclick="changeFrameSrc(Plot2)" /> </td>\r
+ <td><select size="1" name="QCOptDropDown" onchange="changeFrameSrc(this.form)">\r
+ <option value="Intensity">Intensity</option>\r
+ <option value="FWHM" selected="selected">Focus Quality</option>\r
+ <option value="QScore">Quality Score</option>\r
+ <option value="NumGT30">%Q>=30</option>\r
+ <option value="ErrRate">Error Rate</option>\r
+ </select>  </td> \r
+ <td><select size="1" name="lanesDropDown" style="display:inline" onchange="changeFrameSrc(this.form)">\r
+ <option value="L0" selected="selected">All Lanes</option>\r
+ <option value="L1">Lane 1</option>\r
+ <option value="L2">Lane 2</option>\r
+ <option value="L3">Lane 3</option>\r
+ <option value="L4">Lane 4</option>\r
+ <option value="L5">Lane 5</option>\r
+ <option value="L6">Lane 6</option>\r
+ <option value="L7">Lane 7</option>\r
+ <option value="L8">Lane 8</option>\r
+ </select>  </td>\r
+ <td><select size="1" name="baseDropDown" style="display:inline" onchange="changeFrameSrc(this.form)">\r
+ <option value="A">Base A</option>\r
+ <option value="C">Base C</option>\r
+ <option value="G">Base G</option>\r
+ <option value="T">Base T</option>\r
+ </select></td>\r
+ </tr></table> \r
+ <iframe name="Plot2Fr" src="./ByCycleFrame.htm?../reports/ByCycle/FWHM_L0a.png" height="387" width="95%" frameborder="0">\r
+ <img name="imgPlot" alt="No Data" src="../reports/ByCycle/FWHM_L0a.png"/>\r
+ </iframe >\r
+ </form >\r
+</div>\r
+</body>\r
+</html>\r
+\r
--- /dev/null
+\r
+window.onerror = function() {\r
+ parent.location = './Error.htm';\r
+}\r
+\r
+function changeFrameSrc(form) {\r
+ var imgName = null;\r
+ var base = "";\r
+ var qc = form.QCOptDropDown.value;\r
+ if (qc == 'QScore' || qc == 'NumGT30' || qc == 'ErrRate') {\r
+ form.baseDropDown.style.display = 'none';\r
+ } else {\r
+ form.baseDropDown.style.display = 'inline';\r
+ base = form.baseDropDown.value.toLowerCase();\r
+ };\r
+ var intensityURL = "../reports/IntensityFrame.htm?";\r
+\r
+ imgName = "../reports/ByCycle/" + form.QCOptDropDown.value + "_" + form.lanesDropDown.value + base + ".png";\r
+ if (window.frames[form.name + "Fr"] != null) window.frames[form.name + "Fr"].location = "./ByCycleFrame.htm?" + imgName;\r
+ if (form.imgPlot != null) form.imgPlot.src = "../reports/" + imgName;\r
+}\r
+\r
+\r
--- /dev/null
+<html xmlns="http://www.w3.org/1999/xhtml">\r
+<head>\r
+<script type="text/javascript">\r
+ function setupImage() {\r
+ document.PlotImage.src = getParam() + "?" + (new Date().getMilliseconds());\r
+ document.PlotImage.style.display = "block"\r
+ }\r
+ function getParam() {\r
+ return location.href.substring(location.href.indexOf('?') + 1, location.href.length);\r
+ }\r
+</script>\r
+</head>\r
+<body onload='try{setupImage()}catch(err){};'>\r
+ <img name="PlotImage" id="PlotImage" title="Data by cycle" style="display:none" src="#" alt="No data"/>\r
+</body>\r
+</html>\r
+\r
+\r
--- /dev/null
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">\r
+<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">\r
+<head>\r
+ <link rel="stylesheet" href="./Status.css" type="text/css" media="screen"/>\r
+ <script src="./Status.js" type="text/javascript"></script>\r
+ <script src="./ByLane.js" type="text/javascript"></script>\r
+ <title>Status</title>\r
+</head>\r
+ \r
+<body>\r
+ <table style="border:none"><tr>\r
+ <td><img alt="Refresh" title="Refresh" name="RefreshBtn" height="25" width="25" src="./RefreshBtn/r1.png" onmouseout="this.src='./RefreshBtn/r1.png'" onmouseover="this.src='./RefreshBtn/r2.png'" onmousedown="this.src='./RefreshBtn/r3.png'" onmouseup="this.src='./RefreshBtn/r2.png'" onclick="window.location.reload(true)" /> </td>\r
+ <td id="StatUpdateDiv" >\r
+ <table class="StatusTable"><tr>\r
+ <th>Total:</th><td>0</td><th>Extracted:</th><td>0</td><th>Called:</th><td>0</td>\r
+ <th>Scored:</th><td>0</td><th>Copied:</th><td>0</td><th>Err.Rated:</th><td>0</td>\r
+ </tr></table></td> \r
+ <td id="RunNameTD">Loading Run Data ...</td>\r
+ </tr></table>\r
+ <script type="text/javascript">\r
+ loadXSLTable('../reports/StatusUpdate.xml', './StatusUpdate.xsl', 'StatUpdateDiv');\r
+ var runName = xslTransform(loadXMLDoc('../reports/Status.xml'), loadXMLDoc('./RunName.xsl'));\r
+ document.getElementById("RunNameTD").innerHTML = runName;\r
+ document.title = runName + " Status";\r
+ </script>\r
+\r
+<ul id="tabmenu">\r
+ <li><a href="./RunInfo.htm">Run Info</a></li>\r
+ <li><a href="../Status.htm">Tile Status</a></li>\r
+ <li><a href="./Charts.htm">Charts</a></li>\r
+ <li><a href="./Summary.htm">Summary</a></li>\r
+ <li><a class="space">Plots:</a></li>\r
+ <li><a class="selected" href="./ByLane.htm">Cluster Density</a></li>\r
+ <li><a href="./ByCycle.htm">Data By Cycle</a></li>\r
+\r
+</ul>\r
+ \r
+<div id="container">\r
+ <p style="margin: 0px 0px 0px 120px;">\r
+ <input type="checkbox" name="PFOnlyBox" id="PFOnlyBox" title="Show only PF clusters" onclick="loadClustersByLane()"/>\r
+ Show PF only\r
+ </p>\r
+ <img class="Chart" alt="No Data" id="NumClustersImg" src="../reports/NumClusters By Lane.png"/>\r
+ <table class="DataTable" style="margin: 0px 0px 0px 20px" id="NumClustersTbl"></table >\r
+ <script type="text/javascript">loadClustersByLane();</script>\r
+</div>\r
+</body>\r
+</html>\r
+\r
--- /dev/null
+window.onerror = function() {\r
+ parent.location = './Error.htm';\r
+}\r
+\r
+function loadClustersByLane() {\r
+ name = name0 = '../reports/NumClusters By Lane';\r
+ if (document.getElementById('PFOnlyBox').checked) {\r
+ name = name0 + " PF";\r
+ try {\r
+ xmlDoc = loadXMLDoc(name + '.xml');\r
+ } catch (e) { xmlDoc = null; };\r
+ if (xmlDoc == null || xmlDoc.getElementsByTagName('Data') == null) {\r
+ name = name0;\r
+ alert("No data available!");\r
+ document.getElementById('PFOnlyBox').checked = false;\r
+ }\r
+ }\r
+ document.getElementById('NumClustersImg').src = name + ".png";\r
+ imgRefresh('NumClustersImg');\r
+ loadNumClustersTable(name + '.xml', 'NumClustersTbl', 'Lane');\r
+}\r
+\r
+function loadNumClustersTable(xmlName, tblName, tagsName) {\r
+ tbl = document.getElementById(tblName);\r
+ xmlDoc = loadXMLDoc(xmlName);\r
+ if (xmlDoc == null) return;\r
+ xmlRows = xmlDoc.getElementsByTagName(tagsName);\r
+ if (xmlRows == null) return;\r
+ while (tbl.rows.length > 0) tbl.deleteRow(tbl.rows.length - 1);\r
+ if (xmlRows.length > 0 && xmlRows[0].attributes.length > 0) {\r
+ tbl.insertRow(0);\r
+ for (j = xmlRows[0].attributes.length - 1; j >= 1; j--)\r
+ tbl.insertRow(0);\r
+ for (i = xmlRows.length - 1; i >= 0; i--) {\r
+ for (j = xmlRows[i].attributes.length - 1; j >= 1; j--) {\r
+ tbl.rows[j].insertCell(0);\r
+ val = new Number(xmlRows[i].attributes[j].value);\r
+ if (val < 1000) strVal = val.toFixed(0);\r
+ else strVal = (val / 1000).toFixed(0) + "K";\r
+ tbl.rows[j].cells[0].innerHTML = strVal;\r
+ }\r
+ }\r
+ for (j = xmlRows[0].attributes.length - 1; j >= 1; j--) {\r
+ tbl.rows[j].insertCell(0);\r
+ tbl.rows[j].cells[0].innerHTML = xmlRows[0].attributes[j].name.toUpperCase();\r
+ //tbl.rows[j].insertCell(0); tbl.rows[j].insertCell(0);\r
+ }\r
+ for (i = xmlRows.length - 1; i >= 0; i--) {\r
+ tbl.rows[0].insertCell(0);\r
+ tbl.rows[j].cells[0].innerHTML = tagsName + " " + xmlRows[i].attributes[0].value;\r
+ }\r
+ tbl.rows[0].insertCell(0); //tbl.rows[0].insertCell(0); tbl.rows[0].insertCell(0);\r
+ }\r
+}\r
+\r
--- /dev/null
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">\r
+<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">\r
+<head>\r
+ <link rel="stylesheet" href="./Status.css" type="text/css" media="screen"/>\r
+ <script src="./Status.js" type="text/javascript"></script>\r
+ <script src="./Charts.js" type="text/javascript"></script>\r
+ <title>Status</title>\r
+</head>\r
+ \r
+<body>\r
+ <table style="border:none"><tr>\r
+ <td><img alt="Refresh" title="Refresh" name="RefreshBtn" height="25" width="25" src="./RefreshBtn/r1.png" onmouseout="this.src='./RefreshBtn/r1.png'" onmouseover="this.src='./RefreshBtn/r2.png'" onmousedown="this.src='./RefreshBtn/r3.png'" onmouseup="this.src='./RefreshBtn/r2.png'" onclick="window.location.reload(true)" /> </td>\r
+ <td id="StatUpdateDiv" >\r
+ <table class="StatusTable"><tr>\r
+ <th>Total:</th><td>0</td><th>Extracted:</th><td>0</td><th>Called:</th><td>0</td>\r
+ <th>Scored:</th><td>0</td><th>Copied:</th><td>0</td><th>Err.Rated:</th><td>0</td>\r
+ </tr></table></td> \r
+ <td id="RunNameTD">Loading Run Data ...</td>\r
+ </tr></table>\r
+ <script type="text/javascript">\r
+ loadXSLTable('../reports/StatusUpdate.xml', './StatusUpdate.xsl', 'StatUpdateDiv');\r
+ var runName = xslTransform(loadXMLDoc('../reports/Status.xml'), loadXMLDoc('./RunName.xsl'));\r
+ document.getElementById("RunNameTD").innerHTML = runName;\r
+ document.title = runName + " Status";\r
+ </script>\r
+ <map name="tileMap" id = "tileMap"></map> \r
+ <script type="text/javascript">\r
+ var tilesPerLane = xslTransform(loadXMLDoc('../reports/Status.xml'), loadXMLDoc('./TilesPerLane.xsl'));\r
+ var tileMap = new TileMap(tilesPerLane);\r
+ var imgCycle = document.getElementById("ImgCycle");\r
+ if (imgCycle != null) imgCycle = imgCycle.innerHTML;\r
+ else imgCycle = 0;\r
+ </script>\r
+\r
+<ul id="tabmenu">\r
+ <li><a href="./RunInfo.htm">Run Info</a></li>\r
+ <li><a href="../Status.htm">Tile Status</a></li>\r
+ <li><a class="selected" href="./Charts.htm">Charts</a></li>\r
+ <li><a href="./Summary.htm">Summary</a></li>\r
+ <li><a class="space">Plots:</a></li>\r
+ <li><a href="./ByLane.htm">Cluster Density</a></li>\r
+ <li><a href="./ByCycle.htm">Data By Cycle</a></li>\r
+</ul>\r
+ \r
+<div id="container">\r
+ <table class="GreenLife" ><tr>\r
+ <td><form name="imgChartForm1" action="">\r
+ <select size="1" name="QCOptDropDown" onchange="changeImage(this.form)">\r
+ <option value="NumClusters" selected="selected">Cluster Density</option>\r
+ <option value="PassedFilter25">%Cluster PF</option>\r
+ <option value="NumPassedFilter25">Cluster PF Density</option>\r
+ </select> \r
+      <label id="autoscale1lbl" for='autoscale1'>Autoscale </label><input type="checkbox" name="autoscale" id="autoscale1" title="Autoscale" onclick="changeImage(this.form)"/>\r
+ <img name="Chart" class="Chart" id="imgChart1" src="../reports/NumClusters_Chart.png" usemap="#tileMap" onmouseover="tileMap.resetMap(this)" onerror="try{{if(this.src.indexOf('blank.png') == -1)showBlank('imgChart1'); /*setTimeout('imgReload(\'imgChart1\')',20000)*/}}catch(err){{errorPrint(err)}}" alt= "No Data"/>\r
+ </form ></td>\r
+ <td><form name="imgChartForm2" action=""> \r
+ <select size="1" name="QCOptDropDown" onchange="changeImage(this.form)">\r
+ <option value="Intensity" selected="selected">Intensity </option>\r
+ <option value="FWHM">Focus Quality</option>\r
+ <option value="NumGT30">%Q>=30</option>\r
+ <option value="ErrorRate">Error Rate</option>\r
+ </select> \r
+ <select size="1" name="cyDropDown" onchange="changeImage(this.form)"></select>\r
+ <script type="text/javascript">\r
+ fillCycles(document.imgChartForm2.cyDropDown, imgCycle);\r
+ </script>\r
+ <select size="1" name="baseDropDown" onchange="changeImage(this.form)">\r
+ <option value="A" selected="selected">Base A</option>\r
+ <option value="C">Base C</option>\r
+ <option value="G">Base G</option>\r
+ <option value="T">Base T</option>\r
+ </select>\r
+   <label id="autoscale2lbl" for='autoscale2' style ="display :none ">Autoscale </label><input type="checkbox" name="autoscale" id="autoscale2" title="Autoscale" onclick="changeImage(this.form)"/>\r
+ <img name="Chart" class="Chart" id="imgChart2" src="../reports/Intensity/Chart_1_a.png" usemap="#tileMap" onmouseover="tileMap.resetMap(this)" onerror="try{{if(this.src.indexOf('blank.png') == -1)showBlank('imgChart2'); /*setTimeout('imgReload(\'imgChart2\')',20000)*/}}catch(err){{errorPrint(err)}}" alt ="No Data"/>\r
+ </form ></td>\r
+ <td><form name="imgChartForm3" action=""> \r
+ <select size="1" name="QCOptDropDown" onchange="changeImage(this.form)">\r
+ <option value="Intensity">Intensity </option>\r
+ <option value="FWHM" selected="selected">Focus Quality</option>\r
+ <option value="NumGT30">%Q>=30</option>\r
+ <option value="ErrorRate">Error Rate</option>\r
+ </select> \r
+ <select size="1" name="cyDropDown" onchange="changeImage(this.form)"></select>\r
+ <script type="text/javascript">\r
+ fillCycles(document.imgChartForm3.cyDropDown, imgCycle);\r
+ </script>\r
+ <select size="1" name="baseDropDown" onchange="changeImage(this.form)">\r
+ <option value="A" selected="selected">Base A</option>\r
+ <option value="C">Base C</option>\r
+ <option value="G">Base G</option>\r
+ <option value="T">Base T</option>\r
+ </select>\r
+   <label id="autoscale3lbl" for='autoscale3' style ="display :none">Autoscale</label><input type="checkbox" name="autoscale" id="autoscale3" title="Autoscale" onclick="changeImage(this.form)"/>\r
+ <img name="Chart" class="Chart" id="imgChart3" src="../reports/FWHM/Chart_1_a.png" usemap="#tileMap" onmouseover="tileMap.resetMap(this)" onerror="try{{if(this.src.indexOf('blank.png') == -1)showBlank('imgChart3'); /*setTimeout('imgReload(\'imgChart3\')',20000)*/}}catch(err){{errorPrint(err)}}" alt ="No Data"/>\r
+ </form></td>\r
+ </tr></table>\r
+</div> \r
+</body>\r
+</html>\r
+\r
--- /dev/null
+window.onerror = function() {\r
+ parent.location = './Error.htm';\r
+}\r
+\r
+var imageOnFocusId = null;\r
+function TileMap(nTiles) {\r
+ var numLanes = 8;\r
+ var numTiles = nTiles;\r
+ var width = 200;\r
+ var height = 750;\r
+ var X0 = 18;\r
+ var Y0 = 26;\r
+ var dL = width / numLanes;\r
+ var numCols = 2;\r
+ var numRows = numTiles / numCols;\r
+ var dX = width / (numCols * numLanes);\r
+ var dY = height / numRows;\r
+ var map = document.getElementById("tileMap");\r
+ var tileMapXML;\r
+ this.changeLayout = function(layoutNode) {\r
+ nCols = layoutNode.getAttribute("ColsPerLane");\r
+ if (nCols > 0) numCols = nCols;\r
+ nRows = layoutNode.getAttribute("RowsPerLane");\r
+ if (nRows > 0) numRows = nRows;\r
+ dX = width / (numCols * numLanes);\r
+ dY = height / numRows;\r
+ }\r
+ this.newToolTip = function(lane, idx) {\r
+ var area = document.createElement("area");\r
+ area.shape = "rect";\r
+ var col = Math.floor((idx - 1) / numRows);\r
+ var row = (idx - 1) % numRows;\r
+ if (idx - numRows <= 0) row = numRows - row - 1;\r
+ var X1 = Math.round(X0 + dX * col + (lane - 1) * dL);\r
+ var Y1 = Math.round(Y0 + dY * row);\r
+ var X2 = Math.round(X1 + dX);\r
+ var Y2 = Math.round(Y1 + dY);\r
+ area.coords = "'" + X1 + "," + Y1 + "," + X2 + "," + Y2 + "'";\r
+ area.title = "L:" + lane + " T:" + idx;\r
+ map.appendChild(area);\r
+ }\r
+\r
+ this.newToolTipVal = function(tile, base) {\r
+ var area = document.createElement("area");\r
+ area.shape = "rect";\r
+ key = tile.getAttribute("Key");\r
+ if (base == null) base = "Val";\r
+ val = tile.getAttribute(base);\r
+ lane = key.substring(0, 1);\r
+ idx = key.substring(2);\r
+ var col = Math.floor((idx - 1) / numRows);\r
+ var row = (idx - 1) % numRows;\r
+ if (idx - numRows <= 0) row = numRows - row - 1;\r
+ var X1 = Math.round(X0 + dX * col + (lane - 1) * dL);\r
+ var Y1 = Math.round(Y0 + dY * row);\r
+ var X2 = Math.round(X1 + dX);\r
+ var Y2 = Math.round(Y1 + dY);\r
+ area.coords = "'" + X1 + "," + Y1 + "," + X2 + "," + Y2 + "'";\r
+ area.title = "L:" + lane + " T:" + idx + "\n" + "Val= " + val;\r
+ map.appendChild(area);\r
+ }\r
+ this.resetMap = function(image) {\r
+ if (image.id == imageOnFocusId) return;\r
+ xmlName = image.src;\r
+ xmlName = xmlName.replace("@.png", ".png");\r
+ xmlName = xmlName.substring(0, xmlName.lastIndexOf('.')) + ".xml";\r
+ var base = null;\r
+ if (xmlName.lastIndexOf('_a.xml') > 0) base = 'A';\r
+ else if (xmlName.lastIndexOf('_c.xml') > 0) base = 'C';\r
+ else if (xmlName.lastIndexOf('_g.xml') > 0) base = 'G';\r
+ else if (xmlName.lastIndexOf('_t.xml') > 0) base = 'T';\r
+ if (base != null) xmlName = xmlName.substring(0, xmlName.lastIndexOf('_')) + ".xml";\r
+ try {\r
+ this.tileMapXML = loadXMLDoc(xmlName);\r
+ layout = this.tileMapXML.getElementsByTagName("Layout");\r
+ if (layout != null && layout.length > 0) this.changeLayout(layout[0]);\r
+ tiles = this.tileMapXML.getElementsByTagName("TL");\r
+ while (map.lastChild != null) map.removeChild(map.lastChild);\r
+ for (i = 0; i < tiles.length; i++) tileMap.newToolTipVal(tiles[i], base);\r
+ } catch (e) { this.blankMap(); }\r
+ imageOnFocusId = image.id;\r
+ }\r
+\r
+\r
+ this.blankMap = function() {\r
+ while (map.lastChild != null) map.removeChild(map.lastChild);\r
+ for (var l = 1; l <= numLanes; l++) {\r
+ for (var i = 1; i <= numTiles; i++) {\r
+ this.newToolTip(l, i);\r
+ }\r
+ }\r
+ }\r
+}\r
+\r
+function fillCycles(CyBox, maxCy) {\r
+ for (var cy = 1; cy <= maxCy; cy++) {\r
+ var option = document.createElement('option');\r
+ option.setAttribute('value', cy);\r
+ option.appendChild(document.createTextNode(cy));\r
+ CyBox.appendChild(option);\r
+ }\r
+}\r
+\r
+function changeImage(form) {\r
+ var qc = form.QCOptDropDown.value;\r
+ var base = "";\r
+ var cycle = "";\r
+ //alert(form.autoscale.id);\r
+ //return;\r
+ if (form.baseDropDown != null) {\r
+ if (qc == "ErrorRate" || qc == "NumGT30") {\r
+ form.baseDropDown.style.display = 'none';\r
+ document.getElementById(form.autoscale.id.toString() + 'lbl').style.display = 'inline';\r
+ }\r
+ else {\r
+ form.baseDropDown.style.display = 'inline';\r
+ base = "_" + form.baseDropDown.value.toLowerCase();\r
+ document.getElementById(form.autoscale.id.toString() + 'lbl').style.display = 'none';\r
+\r
+ }\r
+ }\r
+ if (form.cyDropDown != null) {\r
+ form.cyDropDown.disabled = false;\r
+ if (form.cyDropDown != null && !form.cyDropDown.disabled) {\r
+ cycle = "_" + form.cyDropDown.value.toLowerCase();\r
+ qc = qc + "/";\r
+ }\r
+ } else qc = qc + "_";\r
+ auto = "";\r
+ if (form.autoscale.checked) auto = "@";\r
+ var suff = cycle + base + auto + ".png";\r
+ form.Chart.src = "../reports/" + qc + "Chart" + suff;\r
+ form.Chart.lowsrc = form.Chart.src;\r
+ imageOnFocusId = null;\r
+}\r
+\r
+function showBlank(imgId) {\r
+ document.getElementById(imgId).lowsrc = document.getElementById(imgId).src;\r
+ document.getElementById(imgId).src = "../reports/blank.png";\r
+}\r
--- /dev/null
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">\r
+<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">\r
+<head>\r
+ <link rel="stylesheet" href="./Status.css" type="text/css" media="screen"/>\r
+ <script src="./Status.js" type="text/javascript"></script>\r
+ <script src="./Controls.js" type="text/javascript"></script>\r
+ <title>Status</title>\r
+</head>\r
+ \r
+<body>\r
+ <table style="border:none"><tr>\r
+ <td><img alt="Refresh" title="Refresh" name="RefreshBtn" height="25" width="25" src="./RefreshBtn/r1.png" onmouseout="this.src='./RefreshBtn/r1.png'" onmouseover="this.src='./RefreshBtn/r2.png'" onmousedown="this.src='./RefreshBtn/r3.png'" onmouseup="this.src='./RefreshBtn/r2.png'" onclick="window.location.reload(true)" /> </td>\r
+ <td id="StatUpdateDiv" >\r
+ <table class="StatusTable"><tr>\r
+ <th>Total:</th><td>0</td><th>Extracted:</th><td>0</td><th>Called:</th><td>0</td>\r
+ <th>Scored:</th><td>0</td><th>Copied:</th><td>0</td><th>Err.Rated:</th><td>0</td>\r
+ </tr></table></td> \r
+ <td id="RunNameTD">Loading Run Data ...</td>\r
+ </tr></table>\r
+ <script type="text/javascript">\r
+ loadXSLTable('../reports/StatusUpdate.xml', './StatusUpdate.xsl', 'StatUpdateDiv');\r
+ runName = xslTransform(loadXMLDoc('../reports/Status.xml'), loadXMLDoc('./RunName.xsl'));\r
+ document.getElementById("RunNameTD").innerHTML = runName;\r
+ document.title = runName + " Status";\r
+ </script>\r
+<ul id="tabmenu">\r
+ <li><a href="./RunInfo.htm">Run Info</a></li>\r
+ <li><a href="../Status.htm">Tile Status</a></li>\r
+ <li><a href="./Charts.htm">Charts</a></li>\r
+ <li><a href="./Summary.htm">Summary</a></li>\r
+ <li><a class="selected" href="./Controls.htm">Controls</a></li>\r
+ <li><a class="space">Plots:</a></li>\r
+ <li><a href="./ByLane.htm">Cluster Density</a></li>\r
+ <li><a href="./ByCycle.htm">Data By Cycle</a></li>\r
+</ul>\r
+ \r
+<div id="container">\r
+ <div id="ControlsTbl" ><p> No data available yet.</p></div>\r
+ <script type="text/javascript">loadControls()</script>\r
+</div>\r
+ \r
+</body>\r
+</html>\r
+\r
--- /dev/null
+window.onerror = function() {\r
+ parent.location = './Error.htm';\r
+}\r
+\r
+function loadControls() {\r
+ loadXSLTable('../reports/controls.xml', './controls.xsl', 'ControlsTbl');\r
+}
\ No newline at end of file
--- /dev/null
+<?xml version="1.0"?> \r
+<xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" \r
+version="1.0"> \r
+<xsl:output method="html" indent="yes" omit-xml-declaration="yes"/>\r
+<xsl:template match="/">\r
+ <table class="DataTable" >\r
+ <tr>\r
+ <th>Control</th>\r
+ <th >Lane 1</th><th >Lane 2</th><th >Lane 3</th><th >Lane 4</th>\r
+ <th >Lane 5</th><th >Lane 6</th><th >Lane 7</th><th >Lane 8</th>\r
+ </tr>\r
+ <xsl:for-each select="Controls/ctl"><tr>\r
+ <td><xsl:value-of select="@Key"/></td> \r
+ <td><xsl:value-of select="@L1"/></td> \r
+ <td><xsl:value-of select="@L2"/></td> \r
+ <td><xsl:value-of select="@L3"/></td> \r
+ <td><xsl:value-of select="@L4"/></td> \r
+ <td><xsl:value-of select="@L5"/></td> \r
+ <td><xsl:value-of select="@L6"/></td> \r
+ <td><xsl:value-of select="@L7"/></td> \r
+ <td><xsl:value-of select="@L8"/></td>\r
+ </tr></xsl:for-each>\r
+ </table >\r
+</xsl:template>\r
+</xsl:stylesheet>\r
--- /dev/null
+<html xmlns="http://www.w3.org/1999/xhtml" >\r
+<head></head> \r
+<body>\r
+<p>There was a problem loading the file.</p>\r
+<p>Please click a link below to try again</p>\r
+<p><a href="..\Status.htm">Status.htm</a></p>\r
+</body>\r
+</html>\r
--- /dev/null
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">\r
+<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">\r
+<head>\r
+ <link rel="stylesheet" href="./Status.css" type="text/css" media="screen"/>\r
+ <script src="./Status.js" type="text/javascript"></script>\r
+ <title>Status</title>\r
+</head>\r
+ \r
+<body>\r
+ <table style="border:none"><tr>\r
+ <td><img alt="Refresh" title="Refresh" name="RefreshBtn" height="25" width="25" src="./RefreshBtn/r1.png" onmouseout="this.src='./RefreshBtn/r1.png'" onmouseover="this.src='./RefreshBtn/r2.png'" onmousedown="this.src='./RefreshBtn/r3.png'" onmouseup="this.src='./RefreshBtn/r2.png'" onclick="window.location.reload(true)" /> </td>\r
+ <td id="StatUpdateDiv" >\r
+ <table class="StatusTable"><tr>\r
+ <th>Total:</th><td>0</td><th>Extracted:</th><td>0</td><th>Called:</th><td>0</td>\r
+ <th>Scored:</th><td>0</td><th>Copied:</th><td>0</td><th>Err.Rated:</th><td>0</td>\r
+ </tr></table></td> \r
+ <td id="RunNameTD">Loading Run Data ...</td>\r
+ </tr></table>\r
+ <script type="text/javascript">\r
+ loadXSLTable('../reports/StatusUpdate.xml', './StatusUpdate.xsl', 'StatUpdateDiv');\r
+ runName = xslTransform(loadXMLDoc('../reports/Status.xml'), loadXMLDoc('./RunName.xsl'));\r
+ document.getElementById("RunNameTD").innerHTML = runName;\r
+ document.title = runName + " Status";\r
+ </script>\r
+<ul id="tabmenu">\r
+ <li><a class="selected" href="./RunInfo.htm">Run Info</a></li>\r
+ <li><a href="../Status.htm">Tile Status</a></li>\r
+ <li><a href="./Charts.htm">Charts</a></li>\r
+ <li><a href="./Summary.htm">Summary</a></li>\r
+ <li><a class="space">Plots:</a></li>\r
+ <li><a href="./ByLane.htm">Cluster Density</a></li>\r
+ <li><a href="./ByCycle.htm">Data By Cycle</a></li>\r
+</ul>\r
+ \r
+<div id="container">\r
+ <script type="text/javascript" >\r
+ loadXSLTable('../reports/Status.xml', './RunInfo.xsl', 'container');\r
+ </script>\r
+</div>\r
+ \r
+</body>\r
+</html>\r
+\r
--- /dev/null
+<?xml version="1.0" encoding="utf-8"?>\r
+<xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform"\r
+ xmlns:msxsl="urn:schemas-microsoft-com:xslt" exclude-result-prefixes="msxsl"\r
+ xmlns:lxslt="http://xml.apache.org/xslt">\r
+<xsl:output method="html" indent="yes"/>\r
+ <xsl:template match="/">\r
+ <table class="InfoTable">\r
+ <tr style="text-align: center;">Run Description<p/></tr>\r
+ <tr><th>Software:</th><td><xsl:value-of select="/Status/Software"/></td></tr>\r
+ <tr><th>Run name:</th><td><xsl:value-of select="/Status/RunName"/></td></tr>\r
+ <tr><th>Cycles:</th><td><xsl:value-of select="/Status/NumCycles"/></td></tr>\r
+ <tr><th>Instrument name:</th><td><xsl:value-of select="/Status/InstrumentName"/></td></tr>\r
+ <tr><th>Run Started (Estimated):</th><td><xsl:value-of select="/Status/RunStarted"/></td></tr>\r
+ <tr><th>Input Directory:</th><td><xsl:value-of select="/Status/InputDir"/></td></tr>\r
+ <tr><th>Output Directory:</th><td><xsl:value-of select="/Status/OutputDir"/></td></tr>\r
+ <tr><p/></tr>\r
+ </table >\r
+ <p/>\r
+ <table class="InfoTable">\r
+ <tr style="text-align: center;">Configuration Settings<p/></tr>\r
+ <tr><th><li type="square">Copy all run files:</li></th><td><xsl:value-of select="/Status/Configuration/CopyAllFiles"/></td></tr>\r
+ <tr><th><li type="square">Copy images:</li></th><td><xsl:value-of select="/Status/Configuration/CopyImages"/></td></tr>\r
+ <tr><th><li type="square">Delete image files:</li></th><td><xsl:value-of select="/Status/Configuration/DeleteImages"/></td></tr>\r
+ <tr><th><li type="square">Delete intensity files:</li></th><td><xsl:value-of select="/Status/Configuration/DeleteIntensity"/></td></tr>\r
+ <tr><th><li type="square">Run info file exists:</li></th><td><xsl:value-of select="/Status/Configuration/RunInfoExists"/></td></tr>\r
+ <tr><th><li type="square">Is this a paired end run:</li></th><td><xsl:value-of select="/Status/Configuration/IsPairedEndRun"/></td></tr>\r
+ <tr><th><li type="square">Total number of reads:</li></th><td><xsl:value-of select="/Status/Configuration/NumberOfReads"/></td></tr>\r
+ <tr><th><li type="square">Number of lanes:</li></th><td><xsl:value-of select="/Status/Configuration/NumberOfLanes"/></td></tr>\r
+ <tr><th><li type="square">Number of tiles per lane:</li></th><td><xsl:value-of select="/Status/Configuration/TilesPerLane"/></td></tr>\r
+ <tr><th><li type="square">Control lane:</li></th>\r
+ <td>\r
+ <xsl:if test="/Status/Configuration/ControlLane = 0"> None</xsl:if>\r
+ <xsl:if test="/Status/Configuration/ControlLane > 0 ">\r
+ <xsl:value-of select="/Status/Configuration/ControlLane"/>\r
+ </xsl:if>\r
+ </td>\r
+ </tr> \r
+ </table>\r
+ </xsl:template>\r
+</xsl:stylesheet>\r
--- /dev/null
+<?xml version="1.0" encoding="utf-8"?>\r
+<xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform"\r
+ xmlns:msxsl="urn:schemas-microsoft-com:xslt" exclude-result-prefixes="msxsl"\r
+ xmlns:lxslt="http://xml.apache.org/xslt">\r
+<xsl:output method="html" indent="yes"/>\r
+ <xsl:template match="/">\r
+ <xsl:value-of select="/Status/RunName"/>\r
+ </xsl:template>\r
+</xsl:stylesheet>\r
--- /dev/null
+body\r
+{\r
+ margin: 0px;\r
+ font-family: Arial, Helvetica, sans-serif;\r
+ background-color: #F4F5F5;\r
+ border-top-style: solid;\r
+ border-top-color: #FF9900;\r
+ border-top-width: 10px;\r
+ padding-top: 3px;\r
+ background-image: url('../Status_Files/illumina.png');\r
+ background-repeat: no-repeat;\r
+ background-position: top right;\r
+ color: #555;\r
+ font-weight: bold;\r
+}\r
+\r
+#tabmenu\r
+{\r
+ font: normal 14px Arial, Helvetica, sans-serif;\r
+ list-style-type: none;\r
+ border-bottom: 1px solid #BB5500;\r
+ margin: 12px 0px 0px 0px;\r
+ padding-left: 0;\r
+ padding-right: 0;\r
+ padding-bottom: 26px;\r
+ font-weight: bold;\r
+}\r
+\r
+#tabmenu li\r
+{\r
+ display: inline;\r
+ float: left;\r
+ height: 24px;\r
+ min-width: 80px;\r
+ text-align: center;\r
+ padding: 0;\r
+}\r
+\r
+#tabmenu li a\r
+{\r
+ float: left;\r
+ color: #777;\r
+ text-decoration: none;\r
+ padding: 4px;\r
+ text-align: center;\r
+ background-color: #ddd;\r
+ min-width: 80px;\r
+ border: 1px solid gray;\r
+ border-bottom: none;\r
+ margin: 0px 1px 0px 1px;\r
+\r
+}\r
+\r
+#tabmenu li a.selected\r
+{\r
+ background-color: #F7F8f8;\r
+ color: #000;\r
+ font-size: 100%;\r
+ border: 1px solid #BB5500;\r
+ border-bottom: 2px solid #F7F8f8;\r
+\r
+}\r
+\r
+#tabmenu li a:hover\r
+{\r
+ color: #BB5500;\r
+ font-size :120%;\r
+ border: 1px solid #BB5500;\r
+}\r
+#tabmenu li a.selected:hover\r
+{\r
+ border-bottom: 2px solid #F7F8f8;\r
+}\r
+\r
+#container\r
+{\r
+ border: 1px solid #BB5500;\r
+ border-top: none;\r
+ padding: 10px;\r
+ left: 0;\r
+ top: 0;\r
+ background-color: #F7F8f8;\r
+ min-width: 1100px;\r
+}\r
+\r
+\r
+\r
+#tabmenu li a.space\r
+{\r
+ font-weight: normal;\r
+ font-size :100%;\r
+ color: #000;\r
+ background-color: #F5F5F5;\r
+ border: none;\r
+ text-align: right;\r
+}\r
+\r
+table.DataTable\r
+{\r
+ border-collapse: collapse;\r
+ background-color: #e0e0e0;\r
+ border: 1px dotted #BB5500;\r
+ padding: 10px;\r
+ padding:50px;\r
+\r
+}\r
+\r
+table.DataTable td, table.DataTable th\r
+{\r
+ font-family: Arial, Helvetica, sans-serif;\r
+ font-size: smaller;\r
+ font-weight: bold;\r
+ font-variant: normal;\r
+ text-transform: none;\r
+ padding: 3px; \r
+ border-right: dotted 1px #BB5500;\r
+ border-left: dotted 1px #BB5500;\r
+ color: #555555;\r
+}\r
+\r
+table.DataTable tr:hover td, table.DataTable tr:hover td a, table.DataTable tr:hover th a\r
+{\r
+ color: #BB5500;\r
+}\r
+\r
+table.DataTable th\r
+{\r
+ padding: 5px;\r
+ border: dotted 1px #BB5500;\r
+ color: #000000;\r
+}\r
+\r
+table.InfoTable\r
+{\r
+ margin: 20px;\r
+ border-style: none;\r
+ border-collapse: collapse;\r
+ background-color: #e0e0e0;\r
+ padding: 50px;\r
+ outline-style: solid;\r
+ outline-color: #e0e0e0;\r
+ outline-width: 10px;\r
+}\r
+\r
+table.InfoTable td, table.InfoTable th\r
+{\r
+ border-style: none;\r
+ font-family: Arial, Helvetica, sans-serif;\r
+ font-size: smaller;\r
+ font-weight: bold;\r
+ font-variant: normal;\r
+ text-transform: none;\r
+ padding: 5px 30px 5px 20px;\r
+ color: #555555;\r
+ text-align: left;\r
+}\r
+\r
+table.InfoTable tr:hover td, table.InfoTable tr:hover td a, table.InfoTable tr:hover th a\r
+{\r
+ color: #BB5500;\r
+}\r
+\r
+table.InfoTable th\r
+{\r
+ color: #000000;\r
+}\r
+\r
+table.StatusTable\r
+{\r
+ margin: 0px 0px 0px 0px;\r
+ border-collapse: collapse;\r
+ background-color: #e0e0e0;\r
+ padding: 1px;\r
+ /*outline-style: solid;\r
+ outline-color: #e0e0e0;\r
+ outline-width: 2px;*/\r
+ border: 1px dotted #BB5500;\r
+\r
+}\r
+\r
+table.StatusTable td, table.StatusTable th\r
+{\r
+ border: 1px dotted #BB5500;\r
+ font-family: Arial, Helvetica, sans-serif;\r
+ font-size: small;\r
+ font-weight: bold;\r
+ font-variant: normal;\r
+ text-transform: none;\r
+ color: #555555;\r
+ text-align: left;\r
+}\r
+table.StatusTable th\r
+{\r
+ border-right: none;\r
+ padding-right: 5px;\r
+}\r
+\r
+table.StatusTable td\r
+{\r
+ border-left: none;\r
+ padding-right: 5px;\r
+ color: #BB5500;\r
+}\r
+\r
+table.StatusTable tr:hover td, table.StatusTable tr:hover td a, table.StatusTable tr:hover th a\r
+{\r
+ color: #ff8800;\r
+}\r
+\r
+label\r
+{\r
+ font-size: smaller;\r
+ font-weight: normal;\r
+ color: #000000;\r
+}\r
+\r
+image.Chart\r
+{\r
+ border: 1px solid #BB5500;\r
+ margin: 5px 0px 0px 0px;\r
+}\r
+\r
+iframe\r
+{ \r
+ margin: 5px 0px 0px 0px;\r
+ border: 1px solid #BB5500;\r
+}\r
+\r
+#RunNameTD\r
+{font-size :100%; padding-left: 20px}
\ No newline at end of file
--- /dev/null
+window.onerror = function() {\r
+ parent.location = "./Status_Files/StatusError.htm"\r
+}\r
+\r
+//Reading XML file\r
+var xmlhttp = false;\r
+/* running locally on IE5.5, IE6, IE7 */; /*@cc_on\r
+if (location.protocol == "file:") {\r
+ if (!xmlhttp) try { xmlhttp = new ActiveXObject("MSXML2.XMLHTTP"); } catch (e) { xmlhttp = false; }\r
+ if (!xmlhttp) try { xmlhttp = new ActiveXObject("Microsoft.XMLHTTP"); } catch (e) { xmlhttp = false; }\r
+}\r
+/* IE7, Firefox, Safari, Opera... */\r
+if (!xmlhttp) try { xmlhttp = new XMLHttpRequest(); } catch (e) { xmlhttp = false; }\r
+/* IE6 */\r
+if (typeof ActiveXObject != "undefined") {\r
+ if (!xmlhttp) try { xmlhttp = new ActiveXObject("MSXML2.XMLHTTP"); } catch (e) { xmlhttp = false; }\r
+ if (!xmlhttp) try { xmlhttp = new ActiveXObject("Microsoft.XMLHTTP"); } catch (e) { xmlhttp = false; }\r
+}\r
+/* IceBrowser */\r
+if (!xmlhttp) try { xmlhttp = createRequest(); } catch (e) { xmlhttp = false; }\r
+\r
+function loadXMLDoc(dname) {\r
+ var xmlDoc = null;\r
+ try {\r
+ if (!xmlhttp) return "Your browser doesn't seem to support XMLHttpRequests.";\r
+ xmlhttp.open("GET", dname, false); //make sure open appears before onreadystatechange lest IE will encounter issues beyond the first request\r
+ xmlhttp.send(null);\r
+ var parser = false;\r
+ try {\r
+ parser = new DOMParser();\r
+ xmlDoc = parser.parseFromString(xmlhttp.responseText, "text/xml");\r
+ } catch (e) { parser = false }\r
+ if (!parser) {\r
+ xmlDoc = new ActiveXObject("Microsoft.XMLDOM");\r
+ //xmlDoc = new ActiveXObject("Msxml2.DOMDocument.6.0");\r
+ xmlDoc.async = "false";\r
+ xmlDoc.loadXML(xmlhttp.responseText);\r
+ }\r
+ if(xmlDoc.childNodes.length == 0)xmlDoc= null;\r
+ } catch(e){};\r
+ return xmlDoc;\r
+}\r
+//End of reading XML file\r
+\r
+\r
+function errorPrint(err) {\r
+ document.writeln(err.description);\r
+ document.writeln("<p>There was a problem loading the file.</p>");\r
+ document.writeln("<p>Please click a link below to try again</p>");\r
+ document.writeln("<p><a href='Status.htm'>Status.htm</a></p>");\r
+ }\r
+\r
+function imgRefresh(imgId) {\r
+ var s = document.getElementById(imgId).src;\r
+ if (s.indexOf('?') > 0) s = s.substring(0, s.indexOf('?'));\r
+ document.getElementById(imgId).src = s + "?" + (new Date().getMilliseconds());\r
+}\r
+\r
+function imgReload(imgId) {\r
+ document.getElementById(imgId).src = document.getElementById(imgId).lowsrc;\r
+}\r
+\r
+function getNodeText(node) {\r
+ var txt = "";\r
+ if (node.textContent != undefined) txt = node.textContent;\r
+ else if (node.text != undefined) txt = node.text;\r
+ return txt;\r
+}\r
+\r
+// Cookie functions\r
+function setCookie(name, value, expires, path, domain, secure) {\r
+ document.cookie = name + "=" + escape(value) +\r
+ ((expires) ? "; expires=" + expires.toGMTString() : "") +\r
+ ((path) ? "; path=" + path : "") +\r
+ ((domain) ? "; domain=" + domain : "") +\r
+ ((secure) ? "; secure" : "");\r
+}\r
+\r
+function getCookie(name) {\r
+ var dc = document.cookie;\r
+ var prefix = name + "=";\r
+ var begin = dc.indexOf("; " + prefix);\r
+ if (begin == -1) {\r
+ begin = dc.indexOf(prefix);\r
+ if (begin != 0) return null;\r
+ } else {\r
+ begin += 2;\r
+ }\r
+ var end = document.cookie.indexOf(";", begin);\r
+ if (end == -1) {\r
+ end = dc.length;\r
+ }\r
+ return unescape(dc.substring(begin + prefix.length, end));\r
+}\r
+\r
+function deleteCookie(name, path, domain) {\r
+ if (getCookie(name)) {\r
+ document.cookie = name + "=" +\r
+ ((path) ? "; path=" + path : "") +\r
+ ((domain) ? "; domain=" + domain : "") +\r
+ "; expires=Thu, 01-Jan-70 00:00:01 GMT";\r
+ }\r
+}\r
+\r
+function loadNumClustersTableByLane(xmlName, tblName, tagsName) {\r
+ tbl = document.getElementById(tblName);\r
+ xmlDoc = loadXMLDoc(xmlName);\r
+ if (xmlDoc == null) return;\r
+ xmlRows = xmlDoc.getElementsByTagName(tagsName);\r
+ while (tbl.rows.length > 0) tbl.deleteRow(tbl.rows.length - 1);\r
+ if (xmlRows.length > 0 && xmlRows[0].attributes.length > 0) {\r
+ for (i = 0; i < xmlRows.length; i++) {\r
+ tbl.insertRow(0);\r
+ for (j = xmlRows[i].attributes.length - 1; j >= 0; j--) {\r
+ tbl.rows[0].insertCell(0);\r
+ tbl.rows[0].cells[0].innerHTML = xmlRows[i].attributes[j].value;\r
+ }\r
+ //create column titles\r
+ tbl.insertRow(0);\r
+ }\r
+ for (j = xmlRows[0].attributes.length - 1; j >= 0; j--) {\r
+ tbl.rows[0].insertCell(0);\r
+ tbl.rows[0].cells[0].innerHTML = xmlRows[0].attributes[j].name;\r
+ }\r
+ tbl.rows[0].cells[0].innerHTML = tagsName + "#"\r
+ }\r
+}\r
+\r
+function loadXSLTable(xmlName, xslName, tblName) {\r
+ tbl = document.getElementById(tblName);\r
+ xmlDoc = loadXMLDoc(xmlName);\r
+ xslDoc = loadXMLDoc(xslName);\r
+ if (xmlDoc == null || xslDoc == null) return false;\r
+ // code for IE\r
+ if (window.ActiveXObject) {\r
+ ex = xmlDoc.transformNode(xslDoc);\r
+ tbl.innerHTML = ex;\r
+ }\r
+ // code for Mozilla, Firefox, Opera, etc.\r
+ else if (document.implementation && document.implementation.createDocument) {\r
+ xsltProcessor = new XSLTProcessor();\r
+ xsltProcessor.importStylesheet(xslDoc);\r
+ resultDocument = xsltProcessor.transformToFragment(xmlDoc, document);\r
+ if ( tbl.hasChildNodes() )\r
+ while ( tbl.childNodes.length >= 1 ) \r
+ tbl.removeChild( tbl.firstChild );\r
+ tbl.appendChild(resultDocument);\r
+ return true;\r
+ }\r
+}\r
+\r
+function xslTransform(xmlDoc, xslDoc) {\r
+ resultDocument = null;\r
+ if (xmlDoc != null && xslDoc != null) {\r
+ // code for IE\r
+ if (window.ActiveXObject) {\r
+ ex = xmlDoc.transformNode(xslDoc);\r
+ resultDocument = ex;\r
+ }\r
+ // code for Mozilla, Firefox, Opera, etc.\r
+ else if (document.implementation && document.implementation.createDocument) {\r
+ xsltProcessor = new XSLTProcessor();\r
+ xsltProcessor.importStylesheet(xslDoc);\r
+ resultDocument = xsltProcessor.transformToFragment(xmlDoc, document).textContent;\r
+ }\r
+ }\r
+ return resultDocument;\r
+}\r
--- /dev/null
+<html xmlns="http://www.w3.org/1999/xhtml" >\r
+<head></head> \r
+<body>\r
+<p>There was a problem loading the file.</p>\r
+<p>Please click a link below to try again</p>\r
+<p><a href=".\Status.htm">Status.htm</a></p>\r
+</body>\r
+</html>\r
--- /dev/null
+<?xml version="1.0" encoding="utf-8"?>\r
+<xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform"\r
+ xmlns:msxsl="urn:schemas-microsoft-com:xslt" exclude-result-prefixes="msxsl"\r
+ xmlns:lxslt="http://xml.apache.org/xslt">\r
+<xsl:output method="html" indent="yes"/>\r
+ <xsl:template match="/">\r
+ <table class="StatusTable"><tr>\r
+ <th>Total:</th><td id="NumCycles"><xsl:value-of select="/Status/NumCycles"/></td>\r
+ <th>Extracted:</th><td id="ImgCycle"><xsl:value-of select="/Status/ImgCycle"/></td>\r
+ <th>Called:</th><td id="CallCycle"><xsl:value-of select="/Status/CallCycle"/></td>\r
+ <th>Scored:</th><td id="ScoreCycle"><xsl:value-of select="/Status/ScoreCycle"/></td>\r
+ <th>Copied:</th><td id="CopyCycle"><xsl:value-of select="/Status/CopyCycle"/></td>\r
+ </tr></table>\r
+ </xsl:template>\r
+</xsl:stylesheet>\r
--- /dev/null
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">\r
+<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">\r
+<head>\r
+ <link rel="stylesheet" href="./Status.css" type="text/css" media="screen"/>\r
+ <script src="./Status.js" type="text/javascript"></script>\r
+ <script src="./Summary.js" type="text/javascript"></script>\r
+ <title>Status</title>\r
+</head>\r
+ \r
+<body>\r
+ <table style="border:none"><tr>\r
+ <td><img alt="Refresh" title="Refresh" name="RefreshBtn" height="25" width="25" src="./RefreshBtn/r1.png" onmouseout="this.src='./RefreshBtn/r1.png'" onmouseover="this.src='./RefreshBtn/r2.png'" onmousedown="this.src='./RefreshBtn/r3.png'" onmouseup="this.src='./RefreshBtn/r2.png'" onclick="window.location.reload(true)" /> </td>\r
+ <td id="StatUpdateDiv" >\r
+ <table class="StatusTable"><tr>\r
+ <th>Total:</th><td>0</td><th>Extracted:</th><td>0</td><th>Called:</th><td>0</td>\r
+ <th>Scored:</th><td>0</td><th>Copied:</th><td>0</td><th>Err.Rated:</th><td>0</td>\r
+ </tr></table></td> \r
+ <td id="RunNameTD">Loading Run Data ...</td>\r
+ </tr></table>\r
+ <script type="text/javascript">\r
+ loadXSLTable('../reports/StatusUpdate.xml', './StatusUpdate.xsl', 'StatUpdateDiv');\r
+ runName = xslTransform(loadXMLDoc('../reports/Status.xml'), loadXMLDoc('./RunName.xsl'));\r
+ document.getElementById("RunNameTD").innerHTML = runName;\r
+ document.title = runName + " Status";\r
+ </script>\r
+<ul id="tabmenu">\r
+ <li><a href="./RunInfo.htm">Run Info</a></li>\r
+ <li><a href="../Status.htm">Tile Status</a></li>\r
+ <li><a href="./Charts.htm">Charts</a></li>\r
+ <li><a class="selected" href="./Summary.htm">Summary</a></li>\r
+ <li><a class="space">Plots:</a></li>\r
+ <li><a href="./ByLane.htm">Cluster Density</a></li>\r
+ <li><a href="./ByCycle.htm">Data By Cycle</a></li>\r
+</ul>\r
+ \r
+<div id="container">\r
+ <div id="SumTbl1" ><p> No data available yet.</p></div>\r
+ <div id="SumTbl2"></div>\r
+ <div id="SumTbl3"></div>\r
+ <div id="SumTbl4"></div>\r
+ <div id="SumTbl5"></div>\r
+ <div id="SumTbl6"></div>\r
+ <div id="SumTbl7"></div>\r
+ <div id="SumTbl8"></div>\r
+ <div id="SumTbl9"></div>\r
+ <div id="SumTbl10"></div>\r
+ <div id="SumTbl11"></div>\r
+ <script type="text/javascript">loadSumTable()</script>\r
+</div>\r
+ \r
+</body>\r
+</html>\r
+\r
--- /dev/null
+window.onerror = function() {\r
+ parent.location = './Error.htm';\r
+}\r
+\r
+function loadSumTable() {\r
+ for (i = 1; i < 12; i++)\r
+ loadXSLTable('../reports/Summary/read' + i + '.xml', './Summary.xsl', 'SumTbl' + i);\r
+}
\ No newline at end of file
--- /dev/null
+<?xml version="1.0"?> \r
+<xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" \r
+version="1.0"> \r
+<xsl:output method="html" indent="yes" omit-xml-declaration="yes"/>\r
+<xsl:template match="/">\r
+ <p/>   <b>Read #<xsl:value-of select="Summary/@Read"/></b>\r
+ <i><xsl:value-of select="Summary/@ReadType"/></i>\r
+ <table class="DataTable" >\r
+ <tr>\r
+ <th >Lane</th> <th>Tiles</th> <th>Clu.Dens. (#/mm<sup>2</sup>)</th>\r
+ <th>% PF Clusters </th> <th>Clusters PF (#/mm<sup>2</sup>)</th> <th>% Phas./Preph.</th>\r
+ <th>Cycles<br/>Err Rated</th> <th>% Aligned</th> <th>% Error Rate</th> \r
+ <th>% Error Rate<br/> 35 cycle</th > <th>% Error Rate<br/> 75 cycle</th > <th>% Error Rate<br/> 100 cycle</th > <th>1<sup>st</sup> Cycle Int</th>\r
+ <th>% Intensity<br/> Cycle 20</th>\r
+ </tr>\r
+ <xsl:variable name="densityRatio" select="Summary/@densityRatio"/>\r
+ <xsl:for-each select="Summary/Lane">\r
+ <tr>\r
+ <td><xsl:value-of select="@key"/></td> \r
+ <td><xsl:value-of select="@TileCount"/></td> \r
+ <td><xsl:value-of select="format-number(@ClustersRaw * $densityRatio div 1000,'#')"/>K +/- \r
+ <xsl:value-of select="format-number(@ClustersRawSD * $densityRatio div 1000,'#.0')"/>K</td> \r
+ <td><xsl:value-of select="@PrcPFClusters"/> +/- \r
+ <xsl:value-of select="@PrcPFClustersSD"/></td> \r
+ <td><xsl:value-of select="format-number(@ClustersPF* $densityRatio div 1000,'#.0')"/>K +/- \r
+ <xsl:value-of select="format-number(@ClustersPFSD* $densityRatio div 1000,'#.00')"/>K</td> \r
+ <td><xsl:value-of select="@Phasing"/> /\r
+ <xsl:value-of select="@Prephasing"/></td>\r
+ <td><xsl:value-of select="@CalledCyclesMin"/>\r
+ <xsl:if test="@CalledCyclesMax > @CalledCyclesMin">-<xsl:value-of select="@CalledCyclesMax"/></xsl:if></td>\r
+ <td><xsl:value-of select="@PrcAlign"/> +/-\r
+ <xsl:value-of select="@PrcAlignSD"/></td> \r
+ <td><xsl:value-of select="@ErrRatePhiX"/> +/-\r
+ <xsl:value-of select="@ErrRatePhiXSD"/></td>\r
+ <td><xsl:value-of select="@ErrRate35"/> +/-\r
+ <xsl:value-of select="@ErrRate35SD"/></td>\r
+ <td><xsl:value-of select="@ErrRate75"/> +/-\r
+ <xsl:value-of select="@ErrRate75SD"/></td>\r
+ <td><xsl:value-of select="@ErrRate100"/> +/-\r
+ <xsl:value-of select="@ErrRate100SD"/></td>\r
+ <td><xsl:value-of select="format-number(@FirstCycleIntPF,'#')"/> +/-\r
+ <xsl:value-of select="format-number(@FirstCycleIntPFSD,'#.0')"/></td>\r
+ <td><xsl:value-of select="format-number(@PrcIntensityAfter20CyclesPF,'#.0')"/> +/-\r
+ <xsl:value-of select="format-number(@PrcIntensityAfter20CyclesPFSD,'#.00')"/></td>\r
+ </tr>\r
+ </xsl:for-each>\r
+ </table >\r
+</xsl:template>\r
+</xsl:stylesheet>\r
--- /dev/null
+<?xml version="1.0" encoding="utf-8"?>\r
+<xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform"\r
+ xmlns:msxsl="urn:schemas-microsoft-com:xslt" exclude-result-prefixes="msxsl"\r
+ xmlns:lxslt="http://xml.apache.org/xslt">\r
+<xsl:output method="html" indent="yes"/>\r
+ <xsl:template match="/">\r
+ <xsl:value-of select="/Status/Configuration/TilesPerLane"/>\r
+ </xsl:template>\r
+</xsl:stylesheet>\r
--- /dev/null
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">\r
+<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">\r
+<head>\r
+ <link rel="stylesheet" href="./Status.css" type="text/css" media="screen"/>\r
+ <script src="./Status.js" type="text/javascript"></script>\r
+ <script src="./Summary.js" type="text/javascript"></script>\r
+ <title>Status</title>\r
+</head>\r
+ \r
+<body>\r
+ <table style="border:none"><tr>\r
+ <td><img alt="Refresh" title="Refresh" name="RefreshBtn" height="25" width="25" src="./RefreshBtn/r1.png" onmouseout="this.src='./RefreshBtn/r1.png'" onmouseover="this.src='./RefreshBtn/r2.png'" onmousedown="this.src='./RefreshBtn/r3.png'" onmouseup="this.src='./RefreshBtn/r2.png'" onclick="window.location.reload(true)" /> </td>\r
+ <td id="StatUpdateDiv" >\r
+ <table class="StatusTable"><tr>\r
+ <th>Total:</th><td>0</td><th>Extracted:</th><td>0</td><th>Called:</th><td>0</td>\r
+ <th>Scored:</th><td>0</td><th>Copied:</th><td>0</td><th>Err.Rated:</th><td>0</td>\r
+ </tr></table></td> \r
+ <td id="RunNameTD">Loading Run Data ...</td>\r
+ </tr></table>\r
+ <script type="text/javascript">\r
+ loadXSLTable('../reports/StatusUpdate.xml', './StatusUpdate.xsl', 'StatUpdateDiv');\r
+ runName = xslTransform(loadXMLDoc('../reports/Status.xml'), loadXMLDoc('./RunName.xsl'));\r
+ document.getElementById("RunNameTD").innerHTML = runName;\r
+ document.title = runName + " Status";\r
+ </script>\r
+<ul id="tabmenu">\r
+ <li><a href="./RunInfo.htm">Run Info</a></li>\r
+ <li><a href="../Status.htm">Tile Status</a></li>\r
+ <li><a href="./Charts.htm">Charts</a></li>\r
+ <li><a class="selected" href="./Summary.htm">Summary</a></li>\r
+ <li><a class="space">Plots:</a></li>\r
+ <li><a href="./ByLane.htm">Cluster Density</a></li>\r
+ <li><a href="./ByCycle.htm">Data By Cycle</a></li>\r
+</ul>\r
+ \r
+<div id="container">\r
+ <div id="SumTbl1" ><p> No data available yet.</p></div>\r
+ <div id="SumTbl2"></div>\r
+ <div id="SumTbl3"></div>\r
+ <div id="SumTbl4"></div>\r
+ <div id="SumTbl5"></div>\r
+ <div id="SumTbl6"></div>\r
+ <div id="SumTbl7"></div>\r
+ <div id="SumTbl8"></div>\r
+ <div id="SumTbl9"></div>\r
+ <div id="SumTbl10"></div>\r
+ <div id="SumTbl11"></div>\r
+ <script type="text/javascript">loadSumTable()</script>\r
+</div>\r
+ \r
+</body>\r
+</html>\r
+\r
--- /dev/null
+<?xml version="1.0"?>
+<RunParameters>
+ <Barcodes>
+ </Barcodes>
+ <Defaults>
+ <ANALYSIS>none</ANALYSIS>
+ <CHROM_NAME_SOURCE>fileName</CHROM_NAME_SOURCE>
+ <CHROM_NAME_VALIDATION>on</CHROM_NAME_VALIDATION>
+ <CMDPREFIX></CMDPREFIX>
+ <DATASET_POST_RUN_COMMAND></DATASET_POST_RUN_COMMAND>
+ <ELAND_EXTENDED_MULTI_READS>off</ELAND_EXTENDED_MULTI_READS>
+ <ELAND_FASTQ_FILES_PER_PROCESS>3</ELAND_FASTQ_FILES_PER_PROCESS>
+ <ELAND_GENOME></ELAND_GENOME>
+ <ELAND_GENOME_MASK>*.fa</ELAND_GENOME_MASK>
+ <ELAND_MAX_MATCHES></ELAND_MAX_MATCHES>
+ <ELAND_PARAMS></ELAND_PARAMS>
+ <ELAND_REPEAT></ELAND_REPEAT>
+ <ELAND_RNA_GENE_MD_GROUP_LABEL></ELAND_RNA_GENE_MD_GROUP_LABEL>
+ <ELAND_RNA_GENOME_ANNOTATION></ELAND_RNA_GENOME_ANNOTATION>
+ <ELAND_RNA_GENOME_CONTAM></ELAND_RNA_GENOME_CONTAM>
+ <ELAND_RNA_GENOME_CONTAM_MASK>*.fa</ELAND_RNA_GENOME_CONTAM_MASK>
+ <ELAND_RNA_MULTI_READS>off</ELAND_RNA_MULTI_READS>
+ <ELAND_SEED_LENGTH1>32</ELAND_SEED_LENGTH1>
+ <ELAND_SEED_LENGTH2></ELAND_SEED_LENGTH2>
+ <EMAIL_DOMAIN>domain.com</EMAIL_DOMAIN>
+ <EMAIL_LIST>${logName}</EMAIL_LIST>
+ <EMAIL_SERVER>localhost:25</EMAIL_SERVER>
+ <EXPT_DIR>/mmjggl/nicodemus/data01/sequencer/110815_SN787_0101_AD07K6ACXX/Unaligned_1MM</EXPT_DIR>
+ <FLAT_TXT_GZ_SUFFIX>Flat.txt.gz</FLAT_TXT_GZ_SUFFIX>
+ <FLOWCELL>D07K6ACXX</FLOWCELL>
+ <GENE_MD_GZ_SUFFIX>_gene.md.gz</GENE_MD_GZ_SUFFIX>
+ <INCREASED_SENSITIVITY></INCREASED_SENSITIVITY>
+ <KAGU_PAIR_PARAMS>--muf 0</KAGU_PAIR_PARAMS>
+ <KAGU_PARAMS>--mmaq 4</KAGU_PARAMS>
+ <NUM_LEADING_DIRS_TO_STRIP>2</NUM_LEADING_DIRS_TO_STRIP>
+ <OA_SUFFIX>.oa</OA_SUFFIX>
+ <ORIGINAL_READS>1</ORIGINAL_READS>
+ <ORIGINAL_READ_LENGTH1>50</ORIGINAL_READ_LENGTH1>
+ <ORPHAN_ALIGNER_PARAMS>2</ORPHAN_ALIGNER_PARAMS>
+ <OUT_DIR>/mmjggl/nicodemus/data01/sequencer/110815_SN787_0101_AD07K6ACXX/Aligned_1MM</OUT_DIR>
+ <PAS_PARAMS></PAS_PARAMS>
+ <RAMM_REPORT_TYPE></RAMM_REPORT_TYPE>
+ <READS>1</READS>
+ <READ_LENGTH1>49</READ_LENGTH1>
+ <RNAQC_COUNT_CLUSTERS_CMD>$(WC) -l</RNAQC_COUNT_CLUSTERS_CMD>
+ <RNAQC_COUNT_CLUSTERS_NAME>totalClusters</RNAQC_COUNT_CLUSTERS_NAME>
+ <RNAQC_COUNT_GENOME_CMD>($(GREP) -cvE '^((NM|QC|RM|[0-9]+:[0-9]+:[0-9]+)$$|splice_sites)' || exit 0)</RNAQC_COUNT_GENOME_CMD>
+ <RNAQC_COUNT_GENOME_NAME>genomeUsable</RNAQC_COUNT_GENOME_NAME>
+ <RNAQC_COUNT_NM_CMD>($(FGREP) -wc NM || exit 0)</RNAQC_COUNT_NM_CMD>
+ <RNAQC_COUNT_NM_NAME>noMatch</RNAQC_COUNT_NM_NAME>
+ <RNAQC_COUNT_PF_CMD>$(WC) -l</RNAQC_COUNT_PF_CMD>
+ <RNAQC_COUNT_PF_NAME>PFClusters</RNAQC_COUNT_PF_NAME>
+ <RNAQC_COUNT_QC_CMD>($(FGREP) -wc QC || exit 0)</RNAQC_COUNT_QC_CMD>
+ <RNAQC_COUNT_QC_NAME>QC</RNAQC_COUNT_QC_NAME>
+ <RNAQC_COUNT_RM_CMD>($(FGREP) -wc RM || exit 0)</RNAQC_COUNT_RM_CMD>
+ <RNAQC_COUNT_RM_NAME>repeatMasked</RNAQC_COUNT_RM_NAME>
+ <RNAQC_COUNT_SPLICE_CMD>($(FGREP) -c splice_sites || exit 0)</RNAQC_COUNT_SPLICE_CMD>
+ <RNAQC_COUNT_SPLICE_NAME>spliceUsable</RNAQC_COUNT_SPLICE_NAME>
+ <RNAQC_COUNT_USABLE_CMD>$(CUT) -f13 |($(EGREP) [0-9] || exit 0)|$(WC) -l</RNAQC_COUNT_USABLE_CMD>
+ <RNAQC_COUNT_USABLE_NAME>usable</RNAQC_COUNT_USABLE_NAME>
+ <RNAQC_FIND_CONTAMS_CMD>($(GREP) -vE '^(NM|QC|RM|[0-9]+:[0-9]+:[0-9]+)$$' || exit 0)</RNAQC_FIND_CONTAMS_CMD>
+ <SAMTOOLS_GENOME></SAMTOOLS_GENOME>
+ <SEQGENEMD2REFFLAT_PARAMS></SEQGENEMD2REFFLAT_PARAMS>
+ <SINGLESEED></SINGLESEED>
+ <SPLCSTS_PARAMS>-v $(CASAVA_LOG_LEVEL)</SPLCSTS_PARAMS>
+ <SQUASH_GENOME_PARAMS></SQUASH_GENOME_PARAMS>
+ <UNGAPPED></UNGAPPED>
+ <USE_BASES>y*n</USE_BASES>
+ <USE_BASES1>yyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyn</USE_BASES1>
+ <WEB_DIR_ROOT>http://host.domain.com/yourshare/</WEB_DIR_ROOT>
+ <WITH_ORPHAN_ALIGNER>true</WITH_ORPHAN_ALIGNER>
+ </Defaults>
+ <Lanes>
+ <Lane index="1">
+ <Barcodes></Barcodes>
+ <Defaults>
+ <ANALYSIS>eland_extended</ANALYSIS>
+ <CHROM_NAME_SOURCE>fileName</CHROM_NAME_SOURCE>
+ <ELAND_GENOME>/mmjggl/nicodemus/data01/genomes/elegans190/chromosomes/</ELAND_GENOME>
+ <ELAND_GENOME_MASK>*.fa</ELAND_GENOME_MASK>
+ <ELAND_SEED_LENGTH1>32</ELAND_SEED_LENGTH1>
+ <READS>1</READS>
+ <READ_LENGTH1>49</READ_LENGTH1>
+ <Tiles>1101 1102 1103 1104 1105 1106 1107 1108 1201 1202 1203 1204 1205 1206 1207 1208 1301 1302 1303 1304 1305 1306 1307 1308 2101 2102 2103 2104 2105 2106 2107 2108 2201 2202 2203 2204 2205 2206 2207 2208 2301 2302 2303 2304 2305 2306 2307 2308</Tiles>
+ <USE_BASES>Y*n</USE_BASES>
+ <USE_BASES1>yyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyn</USE_BASES1>
+ </Defaults>
+ <Projects></Projects>
+ <References></References>
+ <Samples></Samples>
+ </Lane>
+ <Lane index="2">
+ <Barcodes></Barcodes>
+ <Defaults>
+ <ANALYSIS>eland_extended</ANALYSIS>
+ <CHROM_NAME_SOURCE>fileName</CHROM_NAME_SOURCE>
+ <ELAND_GENOME>/mmjggl/nicodemus/data01/genomes/elegans190/chromosomes/</ELAND_GENOME>
+ <ELAND_GENOME_MASK>*.fa</ELAND_GENOME_MASK>
+ <ELAND_SEED_LENGTH1>32</ELAND_SEED_LENGTH1>
+ <READS>1</READS>
+ <READ_LENGTH1>49</READ_LENGTH1>
+ <Tiles>1101 1102 1103 1104 1105 1106 1107 1108 1201 1202 1203 1204 1205 1206 1207 1208 1301 1302 1303 1304 1305 1306 1307 1308 2101 2102 2103 2104 2105 2106 2107 2108 2201 2202 2203 2204 2205 2206 2207 2208 2301 2302 2303 2304 2305 2306 2307 2308</Tiles>
+ <USE_BASES>Y*n</USE_BASES>
+ <USE_BASES1>yyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyn</USE_BASES1>
+ </Defaults>
+ <Projects></Projects>
+ <References></References>
+ <Samples></Samples>
+ </Lane>
+ <Lane index="4">
+ <Barcodes></Barcodes>
+ <Defaults>
+ <ANALYSIS>eland_extended</ANALYSIS>
+ <CHROM_NAME_SOURCE>fileName</CHROM_NAME_SOURCE>
+ <ELAND_GENOME>/mmjggl/nicodemus/data01/genomes/hg18/chromosomes/</ELAND_GENOME>
+ <ELAND_GENOME_MASK>*.fa</ELAND_GENOME_MASK>
+ <ELAND_SEED_LENGTH1>32</ELAND_SEED_LENGTH1>
+ <READS>1</READS>
+ <READ_LENGTH1>49</READ_LENGTH1>
+ <Tiles>1101 1102 1103 1104 1105 1106 1107 1108 1201 1202 1203 1204 1205 1206 1207 1208 1301 1302 1303 1304 1305 1306 1307 1308 2101 2102 2103 2104 2105 2106 2107 2108 2201 2202 2203 2204 2205 2206 2207 2208 2301 2302 2303 2304 2305 2306 2307 2308</Tiles>
+ <USE_BASES>Y*n</USE_BASES>
+ <USE_BASES1>yyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyn</USE_BASES1>
+ </Defaults>
+ <Projects></Projects>
+ <References></References>
+ <Samples></Samples>
+ </Lane>
+ <Lane index="5">
+ <Barcodes></Barcodes>
+ <Defaults>
+ <ANALYSIS>eland_extended</ANALYSIS>
+ <CHROM_NAME_SOURCE>fileName</CHROM_NAME_SOURCE>
+ <ELAND_GENOME>/mmjggl/nicodemus/data01/genomes/hg18/chromosomes/</ELAND_GENOME>
+ <ELAND_GENOME_MASK>*.fa</ELAND_GENOME_MASK>
+ <ELAND_SEED_LENGTH1>32</ELAND_SEED_LENGTH1>
+ <READS>1</READS>
+ <READ_LENGTH1>49</READ_LENGTH1>
+ <Tiles>1101 1102 1103 1104 1105 1106 1107 1108 1201 1202 1203 1204 1205 1206 1207 1208 1301 1302 1303 1304 1305 1306 1307 1308 2101 2102 2103 2104 2105 2106 2107 2108 2201 2202 2203 2204 2205 2206 2207 2208 2301 2302 2303 2304 2305 2306 2307 2308</Tiles>
+ <USE_BASES>Y*n</USE_BASES>
+ <USE_BASES1>yyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyn</USE_BASES1>
+ </Defaults>
+ <Projects></Projects>
+ <References></References>
+ <Samples></Samples>
+ </Lane>
+ <Lane index="6">
+ <Barcodes></Barcodes>
+ <Defaults>
+ <ANALYSIS>eland_extended</ANALYSIS>
+ <CHROM_NAME_SOURCE>fileName</CHROM_NAME_SOURCE>
+ <ELAND_GENOME>/mmjggl/nicodemus/data01/genomes/hg18/chromosomes/</ELAND_GENOME>
+ <ELAND_GENOME_MASK>*.fa</ELAND_GENOME_MASK>
+ <ELAND_SEED_LENGTH1>32</ELAND_SEED_LENGTH1>
+ <READS>1</READS>
+ <READ_LENGTH1>49</READ_LENGTH1>
+ <Tiles>1101 1102 1103 1104 1105 1106 1107 1108 1201 1202 1203 1204 1205 1206 1207 1208 1301 1302 1303 1304 1305 1306 1307 1308 2101 2102 2103 2104 2105 2106 2107 2108 2201 2202 2203 2204 2205 2206 2207 2208 2301 2302 2303 2304 2305 2306 2307 2308</Tiles>
+ <USE_BASES>Y*n</USE_BASES>
+ <USE_BASES1>yyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyn</USE_BASES1>
+ </Defaults>
+ <Projects></Projects>
+ <References></References>
+ <Samples></Samples>
+ </Lane>
+ <Lane index="7">
+ <Barcodes></Barcodes>
+ <Defaults>
+ <ANALYSIS>none</ANALYSIS>
+ <Tiles>1101 1102 1103 1104 1105 1106 1107 1108 1201 1202 1203 1204 1205 1206 1207 1208 1301 1302 1303 1304 1305 1306 1307 1308 2101 2102 2103 2104 2105 2106 2107 2108 2201 2202 2203 2204 2205 2206 2207 2208 2301 2302 2303 2304 2305 2306 2307 2308</Tiles>
+ </Defaults>
+ <Projects></Projects>
+ <References></References>
+ <Samples></Samples>
+ </Lane>
+ <Lane index="8">
+ <Barcodes></Barcodes>
+ <Defaults>
+ <ANALYSIS>none</ANALYSIS>
+ <Tiles>1101 1102 1103 1104 1105 1106 1107 1108 1201 1202 1203 1204 1205 1206 1207 1208 1301 1302 1303 1304 1305 1306 1307 1308 2101 2102 2103 2104 2105 2106 2107 2108 2201 2202 2203 2204 2205 2206 2207 2208 2301 2302 2303 2304 2305 2306 2307 2308</Tiles>
+ </Defaults>
+ <Projects></Projects>
+ <References></References>
+ <Samples></Samples>
+ </Lane>
+ <Lane index="3">
+ <Barcodes></Barcodes>
+ <Defaults>
+ <Tiles>1101 1102 1103 1104 1105 1106 1107 1108 1201 1202 1203 1204 1205 1206 1207 1208 1301 1302 1303 1304 1305 1306 1307 1308 2101 2102 2103 2104 2105 2106 2107 2108 2201 2202 2203 2204 2205 2206 2207 2208 2301 2302 2303 2304 2305 2306 2307 2308</Tiles>
+ </Defaults>
+ <Projects></Projects>
+ <References></References>
+ <Samples></Samples>
+ </Lane>
+ </Lanes>
+ <Projects>
+ <Project name="12383">
+ <ANALYSIS>eland_extended</ANALYSIS>
+ <CHROM_NAME_SOURCE>fileName</CHROM_NAME_SOURCE>
+ <ELAND_GENOME>/g/hg18/chromosomes/</ELAND_GENOME>
+ <ELAND_GENOME_MASK>*.fa</ELAND_GENOME_MASK>
+ <ELAND_SEED_LENGTH1>32</ELAND_SEED_LENGTH1>
+ <READS>1</READS>
+ <READ_LENGTH1>49</READ_LENGTH1>
+ <USE_BASES>Y*n</USE_BASES>
+ <USE_BASES1>yyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyn</USE_BASES1>
+ </Project>
+ <Project name="Undetermined_indices">
+ <ANALYSIS>none</ANALYSIS>
+ </Project>
+ </Projects>
+ <References>
+ <Reference name="mm9">
+ <ANALYSIS>eland_extended</ANALYSIS>
+ <CHROM_NAME_SOURCE>fileName</CHROM_NAME_SOURCE>
+ <ELAND_GENOME>/mmjggl/nicodemus/data01/genomes/mm9/chromosomes/</ELAND_GENOME>
+ <ELAND_GENOME_MASK>*.fa</ELAND_GENOME_MASK>
+ <ELAND_SEED_LENGTH1>32</ELAND_SEED_LENGTH1>
+ <READS>1</READS>
+ <READ_LENGTH1>49</READ_LENGTH1>
+ <USE_BASES>Y*n</USE_BASES>
+ <USE_BASES1>yyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyn</USE_BASES1>
+ </Reference>
+ </References>
+ <Samples>
+ </Samples>
+ <Software CmdAndArgs="/mmjggl/nicodemus/data01/casava-v1.8.1/bin/configureAlignment.pl config.txt --EXPT_DIR /mmjggl/nicodemus/data01/sequencer/110815_SN787_0101_AD07K6ACXX/Unaligned_1MM/ --OUT_DIR /mmjggl/nicodemus/data01/sequencer/110815_SN787_0101_AD07K6ACXX/Aligned_1MM -make" Name="configureAlignment.pl" Version="CASAVA-1.8.1">
+ <Software CmdAndArgs="/mmjggl/nicodemus/data01/casava-v1.8.1/bin/configureBclToFastq.pl --input-dir Data/Intensities/BaseCalls/ --output-dir Unaligned_1MM --sample-sheet Data/Intensities/BaseCalls/SampleSheet.csv --mismatches 1" Name="configureBclToFastq.pl" Version="CASAVA-1.8.1">
+ <Software Name="RTA" Version="1.12.4.2">
+ <Software Name="RTA" Version="1.12.4.2">
+ <Software Name="HiSeq Control Software" Platform="HiSeq" Version="1.4.8" />
+ </Software>
+ </Software>
+ </Software>
+ </Software>
+</RunParameters>
--- /dev/null
+<DemultiplexConfig>
+ <Software Version="CASAVA-1.8.1" CmdAndArgs="/mmjggl/nicodemus/data01/casava-v1.8.1/bin/configureBclToFastq.pl --input-dir Data/Intensities/BaseCalls/ --output-dir Unaligned --sample-sheet Data/Intensities/BaseCalls/SampleSheet.csv" Name="configureBclToFastq.pl">
+ <Software Version="1.12.4.2" Name="RTA">
+ <Software Version="1.12.4.2" Name="RTA">
+ <Software Version="1.4.8" Platform="HiSeq" Name="HiSeq Control Software" />
+ </Software>
+ </Software>
+ </Software>
+ <FlowcellInfo ID="D07K6ACXX" Operator="Lorian" Recipe="SR_indexing" Desc="">
+ <Lane Number="1">
+ <Sample ProjectId="12281" Control="N" Index="ACAGTG" SampleId="12281" Desc="Index #5 AWCon cell#3_N2" Ref="elegans190" />
+ <Sample ProjectId="12279" Control="N" Index="CGATGT" SampleId="12279" Desc="Index #2 AWCon cell#1_N2" Ref="elegans190" />
+ <Sample ProjectId="12280" Control="N" Index="TGACCA" SampleId="12280" Desc="Index #4 AWCon cell#2_N2" Ref="elegans190" />
+ <Sample ProjectId="Undetermined_indices" Control="N" Index="Undetermined" SampleId="lane1" Desc="Clusters with unmatched barcodes for lane 1" Ref="unknown" />
+ </Lane>
+ <Lane Number="2">
+ <Sample ProjectId="12345" Control="N" Index="ACAGTG" SampleId="12345" Desc="Index #5 3 AWC ablated CX3695" Ref="elegans190" />
+ <Sample ProjectId="12283" Control="N" Index="CAGATC" SampleId="12283" Desc="Index #7 AWCon cell#5_N2" Ref="elegans190" />
+ <Sample ProjectId="12282" Control="N" Index="GCCAAT" SampleId="12282" Desc="Index #6 AWCon cell#4_N2" Ref="elegans190" />
+ <Sample ProjectId="Undetermined_indices" Control="N" Index="Undetermined" SampleId="lane2" Desc="Clusters with unmatched barcodes for lane 2" Ref="unknown" />
+ </Lane>
+ <Lane Number="3">
+ <Sample ProjectId="12331" Control="N" Index="ACAGTG" SampleId="12331" Desc="Index #5 060111 FLDN2b(d8.5) H3K4me3 ChIP" Ref="mm9" />
+ <Sample ProjectId="12383" Control="N" Index="CGATGT" SampleId="12383" Desc="Index #2 jwp ix-65 ni 16h" Ref="hg18" />
+ <Sample ProjectId="12330" Control="N" Index="TGACCA" SampleId="12330" Desc="Index #4 060111 Bcl11bKO DL4 FLDN2a H3K4me3 ChIP" Ref="mm9" />
+ <Sample ProjectId="Undetermined_indices" Control="N" Index="Undetermined" SampleId="lane3" Desc="Clusters with unmatched barcodes for lane 3" Ref="unknown" />
+ </Lane>
+ <Lane Number="4">
+ <Sample ProjectId="12385" Control="N" Index="ACAGTG" SampleId="12385" Desc="Index #5 jwp ix-65 i 16h" Ref="hg18" />
+ <Sample ProjectId="12386" Control="N" Index="GCCAAT" SampleId="12386" Desc="Index #6 jwp ix-71 NI 16h" Ref="hg18" />
+ <Sample ProjectId="12384" Control="N" Index="TGACCA" SampleId="12384" Desc="index #4 jwp ix-65 RD 16h" Ref="hg18" />
+ <Sample ProjectId="Undetermined_indices" Control="N" Index="Undetermined" SampleId="lane4" Desc="Clusters with unmatched barcodes for lane 4" Ref="unknown" />
+ </Lane>
+ <Lane Number="5">
+ <Sample ProjectId="12387" Control="N" Index="CAGATC" SampleId="12387" Desc="Index #7 jwp ix-71 RD 16h" Ref="hg18" />
+ <Sample ProjectId="12388" Control="N" Index="CTTGTA" SampleId="12388" Desc="Index #12 jwp ix-71 i 16h" Ref="hg18" />
+ <Sample ProjectId="Undetermined_indices" Control="N" Index="Undetermined" SampleId="lane5" Desc="Clusters with unmatched barcodes for lane 5" Ref="unknown" />
+ </Lane>
+ <Lane Number="6">
+ <Sample ProjectId="12391" Control="N" Index="ACTTGA" SampleId="12391" Desc="Index #8 jwp ix-63 NI 4h" Ref="hg18" />
+ <Sample ProjectId="12392" Control="N" Index="GATCAG" SampleId="12392" Desc="Index #9 jwp ix-63 DHT 10uM PA 4h" Ref="hg18" />
+ <Sample ProjectId="12393" Control="N" Index="TAGCTT" SampleId="12393" Desc="Index #10 jwp ix-63 DHT 4h" Ref="hg18" />
+ <Sample ProjectId="Undetermined_indices" Control="N" Index="Undetermined" SampleId="lane6" Desc="Clusters with unmatched barcodes for lane 6" Ref="unknown" />
+ </Lane>
+ <Lane Number="7">
+ <Sample ProjectId="12348_Index5" Control="N" Index="ACAGTG" SampleId="12348" Desc="Indices #1-9 Small RNA OSS TJ-GFP and constr.E-H" Ref="dm3" />
+ <Sample ProjectId="12348_Index8" Control="N" Index="ACTTGA" SampleId="12348" Desc="Indices #1-9 Small RNA OSS TJ-GFP and constr.E-H" Ref="dm3" />
+ <Sample ProjectId="12348_Index1" Control="N" Index="ATCACG" SampleId="12348" Desc="Indices #1-9 Small RNA OSS TJ-GFP and constr.E-H" Ref="dm3" />
+ <Sample ProjectId="12348_Index7" Control="N" Index="CAGATC" SampleId="12348" Desc="Indices #1-9 Small RNA OSS TJ-GFP and constr.E-H" Ref="dm3" />
+ <Sample ProjectId="12348_Index2" Control="N" Index="CGATGT" SampleId="12348" Desc="Indices #1-9 Small RNA OSS TJ-GFP and constr.E-H" Ref="dm3" />
+ <Sample ProjectId="12348_Index9" Control="N" Index="GATCAG" SampleId="12348" Desc="Indices #1-9 Small RNA OSS TJ-GFP and constr.E-H" Ref="dm3" />
+ <Sample ProjectId="12348_Index6" Control="N" Index="GCCAAT" SampleId="12348" Desc="Indices #1-9 Small RNA OSS TJ-GFP and constr.E-H" Ref="dm3" />
+ <Sample ProjectId="12348_Index4" Control="N" Index="TGACCA" SampleId="12348" Desc="Indices #1-9 Small RNA OSS TJ-GFP and constr.E-H" Ref="dm3" />
+ <Sample ProjectId="12348_Index3" Control="N" Index="TTAGGC" SampleId="12348" Desc="Indices #1-9 Small RNA OSS TJ-GFP and constr.E-H" Ref="dm3" />
+ <Sample ProjectId="Undetermined_indices" Control="N" Index="Undetermined" SampleId="lane7" Desc="Clusters with unmatched barcodes for lane 7" Ref="unknown" />
+ </Lane>
+ <Lane Number="8">
+ <Sample ProjectId="12382_Index5" Control="N" Index="ACAGTG" SampleId="12382" Desc="Small RNA Index #RPI1-RPI10 Human bladder cancer small RNA" Ref="hg18" />
+ <Sample ProjectId="12382_Index8" Control="N" Index="ACTTGA" SampleId="12382" Desc="Small RNA Index #RPI1-RPI10 Human bladder cancer small RNA" Ref="hg18" />
+ <Sample ProjectId="12382_Index1" Control="N" Index="ATCACG" SampleId="12382" Desc="Small RNA Index #RPI1-RPI10 Human bladder cancer small RNA" Ref="hg18" />
+ <Sample ProjectId="12382_Index7" Control="N" Index="CAGATC" SampleId="12382" Desc="Small RNA Index #RPI1-RPI10 Human bladder cancer small RNA" Ref="hg18" />
+ <Sample ProjectId="12382_Index2" Control="N" Index="CGATGT" SampleId="12382" Desc="Small RNA Index #RPI1-RPI10 Human bladder cancer small RNA" Ref="hg18" />
+ <Sample ProjectId="12382_Index9" Control="N" Index="GATCAG" SampleId="12382" Desc="Small RNA Index #RPI1-RPI10 Human bladder cancer small RNA" Ref="hg18" />
+ <Sample ProjectId="12382_Index6" Control="N" Index="GCCAAT" SampleId="12382" Desc="Small RNA Index #RPI1-RPI10 Human bladder cancer small RNA" Ref="hg18" />
+ <Sample ProjectId="12382_Index10" Control="N" Index="TAGCTT" SampleId="12382" Desc="Small RNA Index #RPI1-RPI10 Human bladder cancer small RNA" Ref="hg18" />
+ <Sample ProjectId="12382_Index4" Control="N" Index="TGACCA" SampleId="12382" Desc="Small RNA Index #RPI1-RPI10 Human bladder cancer small RNA" Ref="hg18" />
+ <Sample ProjectId="12382_Index3" Control="N" Index="TTAGGC" SampleId="12382" Desc="Small RNA Index #RPI1-RPI10 Human bladder cancer small RNA" Ref="hg18" />
+ <Sample ProjectId="Undetermined_indices" Control="N" Index="Undetermined" SampleId="lane8" Desc="Clusters with unmatched barcodes for lane 8" Ref="unknown" />
+ </Lane>
+ </FlowcellInfo>
+</DemultiplexConfig>
--- /dev/null
+<?xml version="1.0"?>
+<BaseCallAnalysis xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
+ <Run Name="BaseCalls">
+ <BaseCallParameters>
+ <ChastityThreshold>0.6</ChastityThreshold>
+ <Matrix Path="">
+ <AutoFlag>2</AutoFlag>
+ <AutoLane>0</AutoLane>
+ <Cycle>1</Cycle>
+ <CycleOffset>0</CycleOffset>
+ <FirstCycle>1</FirstCycle>
+ <LastCycle>50</LastCycle>
+ <Read>1</Read>
+ </Matrix>
+ <Matrix Path="">
+ <AutoFlag>2</AutoFlag>
+ <AutoLane>0</AutoLane>
+ <Cycle>51</Cycle>
+ <CycleOffset>0</CycleOffset>
+ <FirstCycle>51</FirstCycle>
+ <LastCycle>57</LastCycle>
+ <Read>2</Read>
+ </Matrix>
+ <Phasing Path="">
+ <AutoFlag>2</AutoFlag>
+ <AutoLane>0</AutoLane>
+ <Cycle>2</Cycle>
+ <CycleOffset>1</CycleOffset>
+ <FirstCycle>1</FirstCycle>
+ <LastCycle>50</LastCycle>
+ <PhasingRate>0</PhasingRate>
+ <PrephasingRate>0</PrephasingRate>
+ <Read>1</Read>
+ </Phasing>
+ <Phasing Path="">
+ <AutoFlag>2</AutoFlag>
+ <AutoLane>0</AutoLane>
+ <Cycle>52</Cycle>
+ <CycleOffset>1</CycleOffset>
+ <FirstCycle>51</FirstCycle>
+ <LastCycle>57</LastCycle>
+ <PhasingRate>0</PhasingRate>
+ <PrephasingRate>0</PrephasingRate>
+ <Read>2</Read>
+ </Phasing>
+ <PureBases>0</PureBases>
+ <SmtFilter>failed-chastity</SmtFilter>
+ <SmtRelation>le</SmtRelation>
+ <SmtThreshold>1.0</SmtThreshold>
+ </BaseCallParameters>
+ <Cycles First="1" Last="57" Number="57"/>
+ <RunParameters>
+ <AutoCycleFlag>0</AutoCycleFlag>
+ <Barcode>
+ <Cycle Use="true">51</Cycle>
+ <Cycle Use="true">52</Cycle>
+ <Cycle Use="true">53</Cycle>
+ <Cycle Use="true">54</Cycle>
+ <Cycle Use="true">55</Cycle>
+ <Cycle Use="true">56</Cycle>
+ <Cycle Use="true">57</Cycle>
+ </Barcode>
+ <BasecallFlag>0</BasecallFlag>
+ <Deblocked>0</Deblocked>
+ <DebugFlag>0</DebugFlag>
+ <FirstRunOnlyFlag>0</FirstRunOnlyFlag>
+ <ImagingReads Index="1">
+ <FirstCycle>1</FirstCycle>
+ <LastCycle>50</LastCycle>
+ </ImagingReads>
+ <ImagingReads Index="2">
+ <FirstCycle>51</FirstCycle>
+ <LastCycle>57</LastCycle>
+ <RunFolder>110815_SN787_0101_AD07K6ACXX</RunFolder>
+ </ImagingReads>
+ <Instrument>HWI-ST0787</Instrument>
+ <IterativeMatrixFlag>0</IterativeMatrixFlag>
+ <MakeFlag>0</MakeFlag>
+ <MaxCycle>0</MaxCycle>
+ <MinCycle>0</MinCycle>
+ <QTableVersion>New6</QTableVersion>
+ <RunFlowcellId>D07K6ACXX</RunFlowcellId>
+ <RunFolder>110815_SN787_0101_AD07K6ACXX</RunFolder>
+ <RunFolderDate>110815</RunFolderDate>
+ <RunFolderId>0101</RunFolderId>
+ <Reads Index="1">
+ <FirstCycle>1</FirstCycle>
+ <LastCycle>50</LastCycle>
+ </Reads>
+ </RunParameters>
+ <Software Name="RTA" Version="1.12.4.2"/>
+ <TileSelection>
+ <Lane Index="1">
+ <Sample>s</Sample>
+ <Tile>1102</Tile>
+ <Tile>1101</Tile>
+ <Tile>1103</Tile>
+ <Tile>1106</Tile>
+ <Tile>1104</Tile>
+ <Tile>1105</Tile>
+ <Tile>1108</Tile>
+ <Tile>1107</Tile>
+ <Tile>1202</Tile>
+ <Tile>1201</Tile>
+ <Tile>1206</Tile>
+ <Tile>1204</Tile>
+ <Tile>1203</Tile>
+ <Tile>1205</Tile>
+ <Tile>1302</Tile>
+ <Tile>1208</Tile>
+ <Tile>1207</Tile>
+ <Tile>1301</Tile>
+ <Tile>1306</Tile>
+ <Tile>1304</Tile>
+ <Tile>1305</Tile>
+ <Tile>2102</Tile>
+ <Tile>1303</Tile>
+ <Tile>1308</Tile>
+ <Tile>2101</Tile>
+ <Tile>1307</Tile>
+ <Tile>2106</Tile>
+ <Tile>2104</Tile>
+ <Tile>2105</Tile>
+ <Tile>2103</Tile>
+ <Tile>2202</Tile>
+ <Tile>2108</Tile>
+ <Tile>2201</Tile>
+ <Tile>2206</Tile>
+ <Tile>2107</Tile>
+ <Tile>2205</Tile>
+ <Tile>2204</Tile>
+ <Tile>2203</Tile>
+ <Tile>2302</Tile>
+ <Tile>2301</Tile>
+ <Tile>2208</Tile>
+ <Tile>2306</Tile>
+ <Tile>2207</Tile>
+ <Tile>2305</Tile>
+ <Tile>2303</Tile>
+ <Tile>2304</Tile>
+ <Tile>2308</Tile>
+ <Tile>2307</Tile>
+ </Lane>
+ <Lane Index="2">
+ <Sample>s</Sample>
+ <Tile>1101</Tile>
+ <Tile>1102</Tile>
+ <Tile>1105</Tile>
+ <Tile>1106</Tile>
+ <Tile>1104</Tile>
+ <Tile>1103</Tile>
+ <Tile>1201</Tile>
+ <Tile>1202</Tile>
+ <Tile>1108</Tile>
+ <Tile>1206</Tile>
+ <Tile>1107</Tile>
+ <Tile>1205</Tile>
+ <Tile>1302</Tile>
+ <Tile>1204</Tile>
+ <Tile>1301</Tile>
+ <Tile>1203</Tile>
+ <Tile>1208</Tile>
+ <Tile>1306</Tile>
+ <Tile>1305</Tile>
+ <Tile>1207</Tile>
+ <Tile>1304</Tile>
+ <Tile>2101</Tile>
+ <Tile>2102</Tile>
+ <Tile>1308</Tile>
+ <Tile>2105</Tile>
+ <Tile>1303</Tile>
+ <Tile>2201</Tile>
+ <Tile>2106</Tile>
+ <Tile>2104</Tile>
+ <Tile>1307</Tile>
+ <Tile>2205</Tile>
+ <Tile>2202</Tile>
+ <Tile>2108</Tile>
+ <Tile>2206</Tile>
+ <Tile>2103</Tile>
+ <Tile>2301</Tile>
+ <Tile>2204</Tile>
+ <Tile>2208</Tile>
+ <Tile>2107</Tile>
+ <Tile>2302</Tile>
+ <Tile>2305</Tile>
+ <Tile>2304</Tile>
+ <Tile>2203</Tile>
+ <Tile>2306</Tile>
+ <Tile>2308</Tile>
+ <Tile>2207</Tile>
+ <Tile>2303</Tile>
+ <Tile>2307</Tile>
+ </Lane>
+ <Lane Index="3">
+ <Sample>s</Sample>
+ <Tile>1101</Tile>
+ <Tile>1102</Tile>
+ <Tile>1105</Tile>
+ <Tile>1104</Tile>
+ <Tile>1108</Tile>
+ <Tile>1106</Tile>
+ <Tile>1201</Tile>
+ <Tile>1103</Tile>
+ <Tile>1204</Tile>
+ <Tile>1202</Tile>
+ <Tile>1205</Tile>
+ <Tile>1107</Tile>
+ <Tile>1208</Tile>
+ <Tile>1206</Tile>
+ <Tile>1301</Tile>
+ <Tile>1304</Tile>
+ <Tile>1203</Tile>
+ <Tile>1302</Tile>
+ <Tile>1308</Tile>
+ <Tile>1305</Tile>
+ <Tile>1207</Tile>
+ <Tile>2101</Tile>
+ <Tile>2104</Tile>
+ <Tile>1306</Tile>
+ <Tile>1303</Tile>
+ <Tile>2102</Tile>
+ <Tile>2105</Tile>
+ <Tile>2108</Tile>
+ <Tile>1307</Tile>
+ <Tile>2106</Tile>
+ <Tile>2204</Tile>
+ <Tile>2201</Tile>
+ <Tile>2103</Tile>
+ <Tile>2208</Tile>
+ <Tile>2202</Tile>
+ <Tile>2107</Tile>
+ <Tile>2205</Tile>
+ <Tile>2301</Tile>
+ <Tile>2304</Tile>
+ <Tile>2203</Tile>
+ <Tile>2206</Tile>
+ <Tile>2207</Tile>
+ <Tile>2305</Tile>
+ <Tile>2308</Tile>
+ <Tile>2302</Tile>
+ <Tile>2303</Tile>
+ <Tile>2307</Tile>
+ <Tile>2306</Tile>
+ </Lane>
+ <Lane Index="4">
+ <Sample>s</Sample>
+ <Tile>1101</Tile>
+ <Tile>1104</Tile>
+ <Tile>1103</Tile>
+ <Tile>1102</Tile>
+ <Tile>1108</Tile>
+ <Tile>1105</Tile>
+ <Tile>1107</Tile>
+ <Tile>1106</Tile>
+ <Tile>1204</Tile>
+ <Tile>1201</Tile>
+ <Tile>1203</Tile>
+ <Tile>1202</Tile>
+ <Tile>1208</Tile>
+ <Tile>1205</Tile>
+ <Tile>1207</Tile>
+ <Tile>1206</Tile>
+ <Tile>1304</Tile>
+ <Tile>1301</Tile>
+ <Tile>1302</Tile>
+ <Tile>1308</Tile>
+ <Tile>1303</Tile>
+ <Tile>1305</Tile>
+ <Tile>1306</Tile>
+ <Tile>1307</Tile>
+ <Tile>2104</Tile>
+ <Tile>2101</Tile>
+ <Tile>2108</Tile>
+ <Tile>2102</Tile>
+ <Tile>2103</Tile>
+ <Tile>2105</Tile>
+ <Tile>2204</Tile>
+ <Tile>2106</Tile>
+ <Tile>2107</Tile>
+ <Tile>2201</Tile>
+ <Tile>2208</Tile>
+ <Tile>2202</Tile>
+ <Tile>2203</Tile>
+ <Tile>2304</Tile>
+ <Tile>2205</Tile>
+ <Tile>2206</Tile>
+ <Tile>2207</Tile>
+ <Tile>2308</Tile>
+ <Tile>2301</Tile>
+ <Tile>2302</Tile>
+ <Tile>2303</Tile>
+ <Tile>2305</Tile>
+ <Tile>2307</Tile>
+ <Tile>2306</Tile>
+ </Lane>
+ <Lane Index="5">
+ <Sample>s</Sample>
+ <Tile>1104</Tile>
+ <Tile>1108</Tile>
+ <Tile>1101</Tile>
+ <Tile>1204</Tile>
+ <Tile>1102</Tile>
+ <Tile>1103</Tile>
+ <Tile>1106</Tile>
+ <Tile>1105</Tile>
+ <Tile>1107</Tile>
+ <Tile>1208</Tile>
+ <Tile>1201</Tile>
+ <Tile>1202</Tile>
+ <Tile>1203</Tile>
+ <Tile>1304</Tile>
+ <Tile>1205</Tile>
+ <Tile>1206</Tile>
+ <Tile>1301</Tile>
+ <Tile>1308</Tile>
+ <Tile>1207</Tile>
+ <Tile>1302</Tile>
+ <Tile>2104</Tile>
+ <Tile>1303</Tile>
+ <Tile>1305</Tile>
+ <Tile>1306</Tile>
+ <Tile>2101</Tile>
+ <Tile>2102</Tile>
+ <Tile>1307</Tile>
+ <Tile>2108</Tile>
+ <Tile>2204</Tile>
+ <Tile>2103</Tile>
+ <Tile>2105</Tile>
+ <Tile>2107</Tile>
+ <Tile>2106</Tile>
+ <Tile>2201</Tile>
+ <Tile>2208</Tile>
+ <Tile>2203</Tile>
+ <Tile>2202</Tile>
+ <Tile>2304</Tile>
+ <Tile>2206</Tile>
+ <Tile>2205</Tile>
+ <Tile>2207</Tile>
+ <Tile>2302</Tile>
+ <Tile>2301</Tile>
+ <Tile>2303</Tile>
+ <Tile>2308</Tile>
+ <Tile>2305</Tile>
+ <Tile>2307</Tile>
+ <Tile>2306</Tile>
+ </Lane>
+ <Lane Index="6">
+ <Sample>s</Sample>
+ <Tile>1104</Tile>
+ <Tile>1101</Tile>
+ <Tile>1103</Tile>
+ <Tile>1102</Tile>
+ <Tile>1108</Tile>
+ <Tile>1107</Tile>
+ <Tile>1105</Tile>
+ <Tile>1106</Tile>
+ <Tile>1204</Tile>
+ <Tile>1203</Tile>
+ <Tile>1201</Tile>
+ <Tile>1202</Tile>
+ <Tile>1208</Tile>
+ <Tile>1207</Tile>
+ <Tile>1205</Tile>
+ <Tile>1206</Tile>
+ <Tile>1304</Tile>
+ <Tile>1303</Tile>
+ <Tile>1301</Tile>
+ <Tile>1302</Tile>
+ <Tile>1308</Tile>
+ <Tile>1307</Tile>
+ <Tile>1305</Tile>
+ <Tile>2104</Tile>
+ <Tile>1306</Tile>
+ <Tile>2103</Tile>
+ <Tile>2101</Tile>
+ <Tile>2102</Tile>
+ <Tile>2108</Tile>
+ <Tile>2107</Tile>
+ <Tile>2105</Tile>
+ <Tile>2106</Tile>
+ <Tile>2204</Tile>
+ <Tile>2203</Tile>
+ <Tile>2202</Tile>
+ <Tile>2201</Tile>
+ <Tile>2208</Tile>
+ <Tile>2207</Tile>
+ <Tile>2206</Tile>
+ <Tile>2205</Tile>
+ <Tile>2304</Tile>
+ <Tile>2303</Tile>
+ <Tile>2302</Tile>
+ <Tile>2301</Tile>
+ <Tile>2307</Tile>
+ <Tile>2308</Tile>
+ <Tile>2306</Tile>
+ <Tile>2305</Tile>
+ </Lane>
+ <Lane Index="7">
+ <Sample>s</Sample>
+ <Tile>1103</Tile>
+ <Tile>1107</Tile>
+ <Tile>1104</Tile>
+ <Tile>1108</Tile>
+ <Tile>1203</Tile>
+ <Tile>1101</Tile>
+ <Tile>1102</Tile>
+ <Tile>1204</Tile>
+ <Tile>1105</Tile>
+ <Tile>1207</Tile>
+ <Tile>1106</Tile>
+ <Tile>1208</Tile>
+ <Tile>1201</Tile>
+ <Tile>1202</Tile>
+ <Tile>1303</Tile>
+ <Tile>1205</Tile>
+ <Tile>1206</Tile>
+ <Tile>1307</Tile>
+ <Tile>1304</Tile>
+ <Tile>1301</Tile>
+ <Tile>1302</Tile>
+ <Tile>1305</Tile>
+ <Tile>1308</Tile>
+ <Tile>2103</Tile>
+ <Tile>1306</Tile>
+ <Tile>2101</Tile>
+ <Tile>2107</Tile>
+ <Tile>2104</Tile>
+ <Tile>2105</Tile>
+ <Tile>2102</Tile>
+ <Tile>2108</Tile>
+ <Tile>2203</Tile>
+ <Tile>2201</Tile>
+ <Tile>2106</Tile>
+ <Tile>2205</Tile>
+ <Tile>2207</Tile>
+ <Tile>2202</Tile>
+ <Tile>2204</Tile>
+ <Tile>2301</Tile>
+ <Tile>2303</Tile>
+ <Tile>2206</Tile>
+ <Tile>2208</Tile>
+ <Tile>2305</Tile>
+ <Tile>2307</Tile>
+ <Tile>2302</Tile>
+ <Tile>2304</Tile>
+ <Tile>2306</Tile>
+ <Tile>2308</Tile>
+ </Lane>
+ <Lane Index="8">
+ <Sample>s</Sample>
+ <Tile>1101</Tile>
+ <Tile>1103</Tile>
+ <Tile>1102</Tile>
+ <Tile>1105</Tile>
+ <Tile>1107</Tile>
+ <Tile>1104</Tile>
+ <Tile>1106</Tile>
+ <Tile>1201</Tile>
+ <Tile>1108</Tile>
+ <Tile>1203</Tile>
+ <Tile>1202</Tile>
+ <Tile>1205</Tile>
+ <Tile>1207</Tile>
+ <Tile>1204</Tile>
+ <Tile>1206</Tile>
+ <Tile>1301</Tile>
+ <Tile>1208</Tile>
+ <Tile>1303</Tile>
+ <Tile>1302</Tile>
+ <Tile>1305</Tile>
+ <Tile>1307</Tile>
+ <Tile>1304</Tile>
+ <Tile>1306</Tile>
+ <Tile>2101</Tile>
+ <Tile>1308</Tile>
+ <Tile>2103</Tile>
+ <Tile>2105</Tile>
+ <Tile>2102</Tile>
+ <Tile>2107</Tile>
+ <Tile>2106</Tile>
+ <Tile>2104</Tile>
+ <Tile>2201</Tile>
+ <Tile>2205</Tile>
+ <Tile>2202</Tile>
+ <Tile>2203</Tile>
+ <Tile>2108</Tile>
+ <Tile>2206</Tile>
+ <Tile>2301</Tile>
+ <Tile>2207</Tile>
+ <Tile>2204</Tile>
+ <Tile>2305</Tile>
+ <Tile>2302</Tile>
+ <Tile>2303</Tile>
+ <Tile>2208</Tile>
+ <Tile>2306</Tile>
+ <Tile>2307</Tile>
+ <Tile>2304</Tile>
+ <Tile>2308</Tile>
+ </Lane>
+ </TileSelection>
+ </Run>
+</BaseCallAnalysis>
--- /dev/null
+<?xml version="1.0"?>
+<BustardSummary>
+ <ChipResultsSummary>
+ <clusterCountPF>454185731</clusterCountPF>
+ <clusterCountRaw>781064977</clusterCountRaw>
+ <yield>25888586667</yield>
+ </ChipResultsSummary>
+ <ChipSummary>
+ <ChipID>unknown</ChipID>
+ <Machine>HWI-ST0787</Machine>
+ <RunFolder>110815_SN787_0101_AD07K6ACXX</RunFolder>
+ </ChipSummary>
+ <Date>2011-08-18 20:18:19</Date>
+ <ExpandedLaneSummary>
+ <Read>
+ <Lane>
+ <clusterCountRaw>
+ <mean>3707807.14</mean>
+ <stdev>573671.11</stdev>
+ <sumsq>393825007132852.00</sumsq>
+ </clusterCountRaw>
+ <laneNumber>1</laneNumber>
+ <percentClustersPF>
+ <mean>47.64</mean>
+ <stdev>19.64</stdev>
+ <sumsq>73957.00</sumsq>
+ </percentClustersPF>
+ <phasingApplied>0.3810</phasingApplied>
+ <prephasingApplied>0.0844</prephasingApplied>
+ <signalAverage1to3>
+ <mean>677.00</mean>
+ <stdev>148.48</stdev>
+ <sumsq>13428576.43</sumsq>
+ </signalAverage1to3>
+ <signalAverage2to4>
+ <mean>908.15</mean>
+ <stdev>81.51</stdev>
+ <sumsq>23271897.61</sumsq>
+ </signalAverage2to4>
+ <signalLoss10to20>
+ <mean>-0.30</mean>
+ <stdev>0.38</stdev>
+ <sumsq>6.33</sumsq>
+ </signalLoss10to20>
+ <signalLoss2to10>
+ <mean>-34.61</mean>
+ <stdev>26.97</stdev>
+ <sumsq>53175.44</sumsq>
+ </signalLoss2to10>
+ </Lane>
+ <Lane>
+ <clusterCountRaw>
+ <mean>3329777.81</mean>
+ <stdev>1102200.81</stdev>
+ <sumsq>318644092316267.00</sumsq>
+ </clusterCountRaw>
+ <laneNumber>2</laneNumber>
+ <percentClustersPF>
+ <mean>24.71</mean>
+ <stdev>17.39</stdev>
+ <sumsq>23436.66</sumsq>
+ </percentClustersPF>
+ <phasingApplied>0.3694</phasingApplied>
+ <prephasingApplied>0.2507</prephasingApplied>
+ <signalAverage1to3>
+ <mean>820.85</mean>
+ <stdev>175.96</stdev>
+ <sumsq>18292849.43</sumsq>
+ </signalAverage1to3>
+ <signalAverage2to4>
+ <mean>864.16</mean>
+ <stdev>95.34</stdev>
+ <sumsq>19643349.08</sumsq>
+ </signalAverage2to4>
+ <signalLoss10to20>
+ <mean>-5.69</mean>
+ <stdev>12.59</stdev>
+ <sumsq>4807.74</sumsq>
+ </signalLoss10to20>
+ <signalLoss2to10>
+ <mean>-34.31</mean>
+ <stdev>22.59</stdev>
+ <sumsq>43354.50</sumsq>
+ </signalLoss2to10>
+ </Lane>
+ <Lane>
+ <clusterCountRaw>
+ <mean>6268934.50</mean>
+ <stdev>241767.87</stdev>
+ <sumsq>314805480030044.00</sumsq>
+ </clusterCountRaw>
+ <laneNumber>3</laneNumber>
+ <percentClustersPF>
+ <mean>36.04</mean>
+ <stdev>12.81</stdev>
+ <sumsq>11541.60</sumsq>
+ </percentClustersPF>
+ <phasingApplied>0.2469</phasingApplied>
+ <prephasingApplied>0.2002</prephasingApplied>
+ <signalAverage1to3>
+ <mean>1094.84</mean>
+ <stdev>135.96</stdev>
+ <sumsq>9718779.89</sumsq>
+ </signalAverage1to3>
+ <signalAverage2to4>
+ <mean>1114.24</mean>
+ <stdev>57.49</stdev>
+ <sumsq>9955389.55</sumsq>
+ </signalAverage2to4>
+ <signalLoss10to20>
+ <mean>-4.20</mean>
+ <stdev>13.18</stdev>
+ <sumsq>1357.57</sumsq>
+ </signalLoss10to20>
+ <signalLoss2to10>
+ <mean>-53.53</mean>
+ <stdev>38.21</stdev>
+ <sumsq>33143.61</sumsq>
+ </signalLoss2to10>
+ </Lane>
+ <Lane>
+ <clusterCountRaw>
+ <mean>6055508.12</mean>
+ <stdev>166741.39</stdev>
+ <sumsq>293548048051419.00</sumsq>
+ </clusterCountRaw>
+ <laneNumber>4</laneNumber>
+ <percentClustersPF>
+ <mean>32.69</mean>
+ <stdev>7.60</stdev>
+ <sumsq>8952.16</sumsq>
+ </percentClustersPF>
+ <phasingApplied>0.2104</phasingApplied>
+ <prephasingApplied>0.1803</prephasingApplied>
+ <signalAverage1to3>
+ <mean>1106.96</mean>
+ <stdev>62.20</stdev>
+ <sumsq>9829917.93</sumsq>
+ </signalAverage1to3>
+ <signalAverage2to4>
+ <mean>1036.31</mean>
+ <stdev>128.16</stdev>
+ <sumsq>8706439.16</sumsq>
+ </signalAverage2to4>
+ <signalLoss10to20>
+ <mean>-9.55</mean>
+ <stdev>18.68</stdev>
+ <sumsq>3171.25</sumsq>
+ </signalLoss10to20>
+ <signalLoss2to10>
+ <mean>-44.30</mean>
+ <stdev>34.27</stdev>
+ <sumsq>23924.49</sumsq>
+ </signalLoss2to10>
+ </Lane>
+ <Lane>
+ <clusterCountRaw>
+ <mean>5643648.67</mean>
+ <stdev>137235.86</stdev>
+ <sumsq>95589978179428.00</sumsq>
+ </clusterCountRaw>
+ <laneNumber>5</laneNumber>
+ <percentClustersPF>
+ <mean>14.96</mean>
+ <stdev>10.60</stdev>
+ <sumsq>895.87</sumsq>
+ </percentClustersPF>
+ <phasingApplied>0.0000</phasingApplied>
+ <prephasingApplied>0.0000</prephasingApplied>
+ <signalAverage1to3>
+ <mean>-593.62</mean>
+ <stdev>74.55</stdev>
+ <sumsq>1068254.69</sumsq>
+ </signalAverage1to3>
+ <signalAverage2to4>
+ <mean>-623.07</mean>
+ <stdev>71.93</stdev>
+ <sumsq>1174981.61</sumsq>
+ </signalAverage2to4>
+ <signalLoss10to20>
+ <mean>100.00</mean>
+ <stdev>0.00</stdev>
+ <sumsq>30000.00</sumsq>
+ </signalLoss10to20>
+ <signalLoss2to10>
+ <mean>100.00</mean>
+ <stdev>0.00</stdev>
+ <sumsq>30000.00</sumsq>
+ </signalLoss2to10>
+ </Lane>
+ <Lane>
+ <clusterCountRaw>
+ <mean>5707954.48</mean>
+ <stdev>553352.88</stdev>
+ <sumsq>953415170485172.00</sumsq>
+ </clusterCountRaw>
+ <laneNumber>6</laneNumber>
+ <percentClustersPF>
+ <mean>42.22</mean>
+ <stdev>22.39</stdev>
+ <sumsq>65737.40</sumsq>
+ </percentClustersPF>
+ <phasingApplied>0.2670</phasingApplied>
+ <prephasingApplied>0.2116</prephasingApplied>
+ <signalAverage1to3>
+ <mean>976.36</mean>
+ <stdev>216.47</stdev>
+ <sumsq>28956965.77</sumsq>
+ </signalAverage1to3>
+ <signalAverage2to4>
+ <mean>1054.88</mean>
+ <stdev>90.27</stdev>
+ <sumsq>32498684.57</sumsq>
+ </signalAverage2to4>
+ <signalLoss10to20>
+ <mean>0.20</mean>
+ <stdev>0.11</stdev>
+ <sumsq>1.47</sumsq>
+ </signalLoss10to20>
+ <signalLoss2to10>
+ <mean>-79.61</mean>
+ <stdev>16.62</stdev>
+ <sumsq>191509.02</sumsq>
+ </signalLoss2to10>
+ </Lane>
+ <Lane>
+ <clusterCountRaw>
+ <mean>1867305.95</mean>
+ <stdev>444617.44</stdev>
+ <sumsq>158236511701682.00</sumsq>
+ </clusterCountRaw>
+ <laneNumber>7</laneNumber>
+ <percentClustersPF>
+ <mean>94.84</mean>
+ <stdev>11.12</stdev>
+ <sumsq>391931.07</sumsq>
+ </percentClustersPF>
+ <phasingApplied>0.1329</phasingApplied>
+ <prephasingApplied>0.2410</prephasingApplied>
+ <signalAverage1to3>
+ <mean>1399.64</mean>
+ <stdev>129.00</stdev>
+ <sumsq>84935084.50</sumsq>
+ </signalAverage1to3>
+ <signalAverage2to4>
+ <mean>1377.83</mean>
+ <stdev>128.32</stdev>
+ <sumsq>82324018.13</sumsq>
+ </signalAverage2to4>
+ <signalLoss10to20>
+ <mean>0.28</mean>
+ <stdev>0.09</stdev>
+ <sumsq>3.65</sumsq>
+ </signalLoss10to20>
+ <signalLoss2to10>
+ <mean>-4.22</mean>
+ <stdev>14.27</stdev>
+ <sumsq>9317.43</sumsq>
+ </signalLoss2to10>
+ </Lane>
+ <Lane>
+ <clusterCountRaw>
+ <mean>4777517.31</mean>
+ <stdev>599178.35</stdev>
+ <sumsq>1112457930812391.00</sumsq>
+ </clusterCountRaw>
+ <laneNumber>8</laneNumber>
+ <percentClustersPF>
+ <mean>86.54</mean>
+ <stdev>7.43</stdev>
+ <sumsq>362059.12</sumsq>
+ </percentClustersPF>
+ <phasingApplied>0.2192</phasingApplied>
+ <prephasingApplied>0.2346</prephasingApplied>
+ <signalAverage1to3>
+ <mean>1256.98</mean>
+ <stdev>106.05</stdev>
+ <sumsq>76368309.15</sumsq>
+ </signalAverage1to3>
+ <signalAverage2to4>
+ <mean>1233.08</mean>
+ <stdev>110.91</stdev>
+ <sumsq>73561027.92</sumsq>
+ </signalAverage2to4>
+ <signalLoss10to20>
+ <mean>0.63</mean>
+ <stdev>0.08</stdev>
+ <sumsq>19.47</sumsq>
+ </signalLoss10to20>
+ <signalLoss2to10>
+ <mean>-3.98</mean>
+ <stdev>11.04</stdev>
+ <sumsq>6489.36</sumsq>
+ </signalLoss2to10>
+ </Lane>
+ <readNumber>1</readNumber>
+ </Read>
+
+ </ExpandedLaneSummary>
+ <LaneResultsSummary>
+ <Read>
+ <Lane>
+ <clusterCountPF>
+ <mean>1783290</mean>
+ <stdev>789504</stdev>
+ <sumsq>105873063750160</sumsq>
+ </clusterCountPF>
+ <clusterCountRaw>
+ <mean>3707807</mean>
+ <stdev>573671</stdev>
+ <sumsq>393825007132852</sumsq>
+ </clusterCountRaw>
+ <laneNumber>1</laneNumber>
+ <laneYield>2496606</laneYield>
+ <oneSig>
+ <mean>164</mean>
+ <stdev>410</stdev>
+ <sumsq>5304965</sumsq>
+ </oneSig>
+ <percentClustersPF>
+ <mean>47.64</mean>
+ <stdev>19.64</stdev>
+ <sumsq>73957.00</sumsq>
+ </percentClustersPF>
+ <signal20AsPctOf1>
+ <mean>9.00</mean>
+ <stdev>22.48</stdev>
+ <sumsq>15909.69</sumsq>
+ </signal20AsPctOf1>
+ </Lane>
+ <Lane>
+ <clusterCountPF>
+ <mean>875778</mean>
+ <stdev>826947</stdev>
+ <sumsq>37037748584192</sumsq>
+ </clusterCountPF>
+ <clusterCountRaw>
+ <mean>3329777</mean>
+ <stdev>1102200</stdev>
+ <sumsq>318644092316267</sumsq>
+ </clusterCountRaw>
+ <laneNumber>2</laneNumber>
+ <laneYield>1138512</laneYield>
+ <oneSig>
+ <mean>702</mean>
+ <stdev>480</stdev>
+ <sumsq>18627652</sumsq>
+ </oneSig>
+ <percentClustersPF>
+ <mean>24.71</mean>
+ <stdev>17.39</stdev>
+ <sumsq>23436.66</sumsq>
+ </percentClustersPF>
+ <signal20AsPctOf1>
+ <mean>56.49</mean>
+ <stdev>38.83</stdev>
+ <sumsq>120674.01</sumsq>
+ </signal20AsPctOf1>
+ </Lane>
+ <Lane>
+ <clusterCountPF>
+ <mean>2259006</mean>
+ <stdev>798869</stdev>
+ <sumsq>45292218394019</sumsq>
+ </clusterCountPF>
+ <clusterCountRaw>
+ <mean>6268934</mean>
+ <stdev>241767</stdev>
+ <sumsq>314805480030044</sumsq>
+ </clusterCountRaw>
+ <laneNumber>3</laneNumber>
+ <laneYield>903602</laneYield>
+ <oneSig>
+ <mean>1031</mean>
+ <stdev>419</stdev>
+ <sumsq>9747483</sumsq>
+ </oneSig>
+ <percentClustersPF>
+ <mean>36.04</mean>
+ <stdev>12.81</stdev>
+ <sumsq>11541.60</sumsq>
+ </percentClustersPF>
+ <signal20AsPctOf1>
+ <mean>75.63</mean>
+ <stdev>30.73</stdev>
+ <sumsq>52366.46</sumsq>
+ </signal20AsPctOf1>
+ </Lane>
+ <Lane>
+ <clusterCountPF>
+ <mean>1978985</mean>
+ <stdev>462424</stdev>
+ <sumsq>32827917903219</sumsq>
+ </clusterCountPF>
+ <clusterCountRaw>
+ <mean>6055508</mean>
+ <stdev>166741</stdev>
+ <sumsq>293548048051419</sumsq>
+ </clusterCountRaw>
+ <laneNumber>4</laneNumber>
+ <laneYield>791594</laneYield>
+ <oneSig>
+ <mean>1161</mean>
+ <stdev>61</stdev>
+ <sumsq>10827946</sumsq>
+ </oneSig>
+ <percentClustersPF>
+ <mean>32.69</mean>
+ <stdev>7.60</stdev>
+ <sumsq>8952.16</sumsq>
+ </percentClustersPF>
+ <signal20AsPctOf1>
+ <mean>63.64</mean>
+ <stdev>39.29</stdev>
+ <sumsq>43206.11</sumsq>
+ </signal20AsPctOf1>
+ </Lane>
+ <Lane>
+ <clusterCountPF>
+ <mean>834976</mean>
+ <stdev>570615</stdev>
+ <sumsq>2742761639691</sumsq>
+ </clusterCountPF>
+ <clusterCountRaw>
+ <mean>5643648</mean>
+ <stdev>137235</stdev>
+ <sumsq>95589978179428</sumsq>
+ </clusterCountRaw>
+ <laneNumber>5</laneNumber>
+ <laneYield>125246</laneYield>
+ <oneSig>
+ <mean>-596</mean>
+ <stdev>79</stdev>
+ <sumsq>1080823</sumsq>
+ </oneSig>
+ <percentClustersPF>
+ <mean>14.96</mean>
+ <stdev>10.60</stdev>
+ <sumsq>895.87</sumsq>
+ </percentClustersPF>
+ <signal20AsPctOf1>
+ <mean>147.21</mean>
+ <stdev>7.83</stdev>
+ <sumsq>65137.15</sumsq>
+ </signal20AsPctOf1>
+ </Lane>
+ <Lane>
+ <clusterCountPF>
+ <mean>2467696</mean>
+ <stdev>1423659</stdev>
+ <sumsq>233346910460595</sumsq>
+ </clusterCountPF>
+ <clusterCountRaw>
+ <mean>5707954</mean>
+ <stdev>553352</stdev>
+ <sumsq>953415170485172</sumsq>
+ </clusterCountRaw>
+ <laneNumber>6</laneNumber>
+ <laneYield>3578160</laneYield>
+ <oneSig>
+ <mean>820</mean>
+ <stdev>521</stdev>
+ <sumsq>27135464</sumsq>
+ </oneSig>
+ <percentClustersPF>
+ <mean>42.22</mean>
+ <stdev>22.39</stdev>
+ <sumsq>65737.40</sumsq>
+ </percentClustersPF>
+ <signal20AsPctOf1>
+ <mean>64.69</mean>
+ <stdev>40.68</stdev>
+ <sumsq>167697.34</sumsq>
+ </signal20AsPctOf1>
+ </Lane>
+ <Lane>
+ <clusterCountPF>
+ <mean>1769448</mean>
+ <stdev>464939</stdev>
+ <sumsq>143709845032850</sumsq>
+ </clusterCountPF>
+ <clusterCountRaw>
+ <mean>1867305</mean>
+ <stdev>444617</stdev>
+ <sumsq>158236511701682</sumsq>
+ </clusterCountRaw>
+ <laneNumber>7</laneNumber>
+ <laneYield>3804314</laneYield>
+ <oneSig>
+ <mean>1442</mean>
+ <stdev>84</stdev>
+ <sumsq>89752104</sumsq>
+ </oneSig>
+ <percentClustersPF>
+ <mean>94.84</mean>
+ <stdev>11.12</stdev>
+ <sumsq>391931.07</sumsq>
+ </percentClustersPF>
+ <signal20AsPctOf1>
+ <mean>91.96</mean>
+ <stdev>1.75</stdev>
+ <sumsq>363782.22</sumsq>
+ </signal20AsPctOf1>
+ </Lane>
+ <Lane>
+ <clusterCountPF>
+ <mean>4113020</mean>
+ <stdev>444275</stdev>
+ <sumsq>821290075103817</sumsq>
+ </clusterCountPF>
+ <clusterCountRaw>
+ <mean>4777517</mean>
+ <stdev>599178</stdev>
+ <sumsq>1112457930812391</sumsq>
+ </clusterCountRaw>
+ <laneNumber>8</laneNumber>
+ <laneYield>9871250</laneYield>
+ <oneSig>
+ <mean>1334</mean>
+ <stdev>72</stdev>
+ <sumsq>85708238</sumsq>
+ </oneSig>
+ <percentClustersPF>
+ <mean>86.54</mean>
+ <stdev>7.43</stdev>
+ <sumsq>362059.12</sumsq>
+ </percentClustersPF>
+ <signal20AsPctOf1>
+ <mean>88.24</mean>
+ <stdev>1.70</stdev>
+ <sumsq>373841.88</sumsq>
+ </signal20AsPctOf1>
+ </Lane>
+ <readNumber>1</readNumber>
+ </Read>
+
+ </LaneResultsSummary>
+ <Software>CASAVA-1.8.1</Software>
+ <TileResultsByLane>
+ <Lane>
+ <Read>
+ <Tile>
+ <clusterCountPF>2195814</clusterCountPF>
+ <clusterCountRaw>3782916</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>58.05</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1101</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2278273</clusterCountPF>
+ <clusterCountRaw>3732743</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>61.03</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1102</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4020211</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1103</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3895725</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1104</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4134124</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1105</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4304874</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1106</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4406771</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1107</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4057296</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1108</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2235184</clusterCountPF>
+ <clusterCountRaw>3576569</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>62.50</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1201</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2303817</clusterCountPF>
+ <clusterCountRaw>3670759</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>62.76</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1202</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2228868</clusterCountPF>
+ <clusterCountRaw>3917599</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>56.89</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1203</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4063543</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1204</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4018922</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1205</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2207175</clusterCountPF>
+ <clusterCountRaw>4204009</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>52.50</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1206</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4440729</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1207</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>768164</clusterCountPF>
+ <clusterCountRaw>3715012</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>20.68</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1208</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2261727</clusterCountPF>
+ <clusterCountRaw>3621480</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>62.45</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1301</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2347049</clusterCountPF>
+ <clusterCountRaw>3868987</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>60.66</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1302</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4029778</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1303</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4153522</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1304</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4253486</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1305</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>598571</clusterCountPF>
+ <clusterCountRaw>1511883</clusterCountRaw>
+ <oneSig>1096.02</oneSig>
+ <percentClustersPF>39.59</percentClustersPF>
+ <signal20AsPctOf1>63.03</signal20AsPctOf1>
+ <tileNumber>1306</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4540851</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1307</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>762937</clusterCountPF>
+ <clusterCountRaw>3797909</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>20.09</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1308</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2212968</clusterCountPF>
+ <clusterCountRaw>3718396</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>59.51</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2101</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2340883</clusterCountPF>
+ <clusterCountRaw>3785970</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>61.83</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2102</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2181836</clusterCountPF>
+ <clusterCountRaw>3995288</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>54.61</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2103</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4140850</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2104</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>344088</clusterCountPF>
+ <clusterCountRaw>3742840</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>9.19</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2105</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4417907</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2106</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>633399</clusterCountPF>
+ <clusterCountRaw>3982483</clusterCountRaw>
+ <oneSig>1075.65</oneSig>
+ <percentClustersPF>15.90</percentClustersPF>
+ <signal20AsPctOf1>64.87</signal20AsPctOf1>
+ <tileNumber>2107</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4249399</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2108</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2273067</clusterCountPF>
+ <clusterCountRaw>3616092</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>62.86</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2201</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2371559</clusterCountPF>
+ <clusterCountRaw>3725669</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>63.65</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2202</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2333375</clusterCountPF>
+ <clusterCountRaw>3836500</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>60.82</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2203</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2185419</clusterCountPF>
+ <clusterCountRaw>3910181</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>55.89</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2204</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2311644</clusterCountPF>
+ <clusterCountRaw>4017955</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>57.53</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2205</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4331923</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2206</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2238184</clusterCountPF>
+ <clusterCountRaw>4417665</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>50.66</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2207</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4514102</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2208</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2087282</clusterCountPF>
+ <clusterCountRaw>3641497</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>57.32</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2301</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2372969</clusterCountPF>
+ <clusterCountRaw>3752096</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>63.24</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2302</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2356197</clusterCountPF>
+ <clusterCountRaw>3904880</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>60.34</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2303</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>334562</clusterCountPF>
+ <clusterCountRaw>2147785</clusterCountRaw>
+ <oneSig>1289.76</oneSig>
+ <percentClustersPF>15.58</percentClustersPF>
+ <signal20AsPctOf1>59.07</signal20AsPctOf1>
+ <tileNumber>2304</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>2020376</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2305</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4367266</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2306</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>906827</clusterCountPF>
+ <clusterCountRaw>4298608</clusterCountRaw>
+ <oneSig>1132.79</oneSig>
+ <percentClustersPF>21.10</percentClustersPF>
+ <signal20AsPctOf1>65.11</signal20AsPctOf1>
+ <tileNumber>2307</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>260294</clusterCountPF>
+ <clusterCountRaw>3924829</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>6.63</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2308</tileNumber>
+ </Tile>
+ <readNumber>1</readNumber>
+ </Read>
+
+ <laneNumber>1</laneNumber>
+ </Lane>
+ <Lane>
+ <Read>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4448159</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1101</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2773172</clusterCountPF>
+ <clusterCountRaw>4366122</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>63.52</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1102</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4564670</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1103</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4585876</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1104</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4635377</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1105</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>669217</clusterCountPF>
+ <clusterCountRaw>4420397</clusterCountRaw>
+ <oneSig>930.85</oneSig>
+ <percentClustersPF>15.14</percentClustersPF>
+ <signal20AsPctOf1>76.28</signal20AsPctOf1>
+ <tileNumber>1106</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4676917</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1107</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4535868</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1108</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4334415</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1201</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>640314</clusterCountPF>
+ <clusterCountRaw>2059919</clusterCountRaw>
+ <oneSig>1000.53</oneSig>
+ <percentClustersPF>31.08</percentClustersPF>
+ <signal20AsPctOf1>85.05</signal20AsPctOf1>
+ <tileNumber>1202</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2607069</clusterCountPF>
+ <clusterCountRaw>4434379</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>58.79</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1203</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>775741</clusterCountPF>
+ <clusterCountRaw>3750712</clusterCountRaw>
+ <oneSig>996.69</oneSig>
+ <percentClustersPF>20.68</percentClustersPF>
+ <signal20AsPctOf1>74.98</signal20AsPctOf1>
+ <tileNumber>1204</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>440909</clusterCountPF>
+ <clusterCountRaw>4058935</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>10.86</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1205</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>214300</clusterCountPF>
+ <clusterCountRaw>1790590</clusterCountRaw>
+ <oneSig>927.63</oneSig>
+ <percentClustersPF>11.97</percentClustersPF>
+ <signal20AsPctOf1>74.32</signal20AsPctOf1>
+ <tileNumber>1206</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4699049</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1207</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4541983</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1208</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>504330</clusterCountPF>
+ <clusterCountRaw>1946513</clusterCountRaw>
+ <oneSig>1041.75</oneSig>
+ <percentClustersPF>25.91</percentClustersPF>
+ <signal20AsPctOf1>73.96</signal20AsPctOf1>
+ <tileNumber>1301</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4553087</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1302</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1143910</clusterCountPF>
+ <clusterCountRaw>3886939</clusterCountRaw>
+ <oneSig>1001.45</oneSig>
+ <percentClustersPF>29.43</percentClustersPF>
+ <signal20AsPctOf1>79.86</signal20AsPctOf1>
+ <tileNumber>1303</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>394814</clusterCountPF>
+ <clusterCountRaw>1620637</clusterCountRaw>
+ <oneSig>903.30</oneSig>
+ <percentClustersPF>24.36</percentClustersPF>
+ <signal20AsPctOf1>85.19</signal20AsPctOf1>
+ <tileNumber>1304</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>751155</clusterCountPF>
+ <clusterCountRaw>3901741</clusterCountRaw>
+ <oneSig>924.69</oneSig>
+ <percentClustersPF>19.25</percentClustersPF>
+ <signal20AsPctOf1>82.04</signal20AsPctOf1>
+ <tileNumber>1305</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>279109</clusterCountPF>
+ <clusterCountRaw>4312437</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>6.47</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1306</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4877078</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1307</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4716643</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1308</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>621210</clusterCountPF>
+ <clusterCountRaw>2055906</clusterCountRaw>
+ <oneSig>1083.69</oneSig>
+ <percentClustersPF>30.22</percentClustersPF>
+ <signal20AsPctOf1>80.10</signal20AsPctOf1>
+ <tileNumber>2101</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4511240</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2102</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>967970</clusterCountPF>
+ <clusterCountRaw>4049067</clusterCountRaw>
+ <oneSig>1094.71</oneSig>
+ <percentClustersPF>23.91</percentClustersPF>
+ <signal20AsPctOf1>81.54</signal20AsPctOf1>
+ <tileNumber>2103</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>610322</clusterCountPF>
+ <clusterCountRaw>4256141</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>14.34</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2104</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>945727</clusterCountPF>
+ <clusterCountRaw>4036212</clusterCountRaw>
+ <oneSig>1045.43</oneSig>
+ <percentClustersPF>23.43</percentClustersPF>
+ <signal20AsPctOf1>81.22</signal20AsPctOf1>
+ <tileNumber>2105</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4826884</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2106</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4806977</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2107</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4634388</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2108</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>522871</clusterCountPF>
+ <clusterCountRaw>3978361</clusterCountRaw>
+ <oneSig>991.67</oneSig>
+ <percentClustersPF>13.14</percentClustersPF>
+ <signal20AsPctOf1>97.22</signal20AsPctOf1>
+ <tileNumber>2201</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>699409</clusterCountPF>
+ <clusterCountRaw>4040193</clusterCountRaw>
+ <oneSig>1042.31</oneSig>
+ <percentClustersPF>17.31</percentClustersPF>
+ <signal20AsPctOf1>91.73</signal20AsPctOf1>
+ <tileNumber>2202</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>234576</clusterCountPF>
+ <clusterCountRaw>1982322</clusterCountRaw>
+ <oneSig>1097.76</oneSig>
+ <percentClustersPF>11.83</percentClustersPF>
+ <signal20AsPctOf1>91.23</signal20AsPctOf1>
+ <tileNumber>2203</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>312538</clusterCountPF>
+ <clusterCountRaw>1846815</clusterCountRaw>
+ <oneSig>1060.29</oneSig>
+ <percentClustersPF>16.92</percentClustersPF>
+ <signal20AsPctOf1>81.85</signal20AsPctOf1>
+ <tileNumber>2204</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4877670</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2205</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4352080</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2206</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4565158</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2207</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4595892</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2208</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2688747</clusterCountPF>
+ <clusterCountRaw>4326152</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>62.15</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2301</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2702172</clusterCountPF>
+ <clusterCountRaw>4401275</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>61.40</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2302</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>375919</clusterCountPF>
+ <clusterCountRaw>1897193</clusterCountRaw>
+ <oneSig>1064.46</oneSig>
+ <percentClustersPF>19.81</percentClustersPF>
+ <signal20AsPctOf1>73.90</signal20AsPctOf1>
+ <tileNumber>2303</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>170457</clusterCountPF>
+ <clusterCountRaw>1856395</clusterCountRaw>
+ <oneSig>970.76</oneSig>
+ <percentClustersPF>9.18</percentClustersPF>
+ <signal20AsPctOf1>86.28</signal20AsPctOf1>
+ <tileNumber>2304</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>464174</clusterCountPF>
+ <clusterCountRaw>3035669</clusterCountRaw>
+ <oneSig>1098.56</oneSig>
+ <percentClustersPF>15.29</percentClustersPF>
+ <signal20AsPctOf1>72.01</signal20AsPctOf1>
+ <tileNumber>2305</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4768558</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2306</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>260108</clusterCountPF>
+ <clusterCountRaw>4263201</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>6.10</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2307</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4508484</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2308</tileNumber>
+ </Tile>
+ <readNumber>1</readNumber>
+ </Read>
+
+ <laneNumber>2</laneNumber>
+ </Lane>
+ <Lane>
+ <Read>
+ <Tile>
+ <clusterCountPF>2375385</clusterCountPF>
+ <clusterCountRaw>6313330</clusterCountRaw>
+ <oneSig>1139.10</oneSig>
+ <percentClustersPF>37.62</percentClustersPF>
+ <signal20AsPctOf1>85.17</signal20AsPctOf1>
+ <tileNumber>1101</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6286613</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1102</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5994999</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1103</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3262679</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1104</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6237718</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1105</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6033743</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1106</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6120542</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1107</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5567004</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1108</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2986982</clusterCountPF>
+ <clusterCountRaw>6143687</clusterCountRaw>
+ <oneSig>1179.26</oneSig>
+ <percentClustersPF>48.62</percentClustersPF>
+ <signal20AsPctOf1>83.37</signal20AsPctOf1>
+ <tileNumber>1201</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6160371</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1202</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6336417</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1203</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5941459</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1204</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6294748</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1205</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5833916</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1206</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5913050</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1207</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5886712</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1208</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3249310</clusterCountPF>
+ <clusterCountRaw>6355086</clusterCountRaw>
+ <oneSig>1175.05</oneSig>
+ <percentClustersPF>51.13</percentClustersPF>
+ <signal20AsPctOf1>86.62</signal20AsPctOf1>
+ <tileNumber>1301</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2482602</clusterCountPF>
+ <clusterCountRaw>6345936</clusterCountRaw>
+ <oneSig>1114.27</oneSig>
+ <percentClustersPF>39.12</percentClustersPF>
+ <signal20AsPctOf1>86.48</signal20AsPctOf1>
+ <tileNumber>1302</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6391130</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1303</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6306326</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1304</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3278126</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1305</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3954980</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1306</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4991640</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1307</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4731299</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1308</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2363698</clusterCountPF>
+ <clusterCountRaw>6670949</clusterCountRaw>
+ <oneSig>1261.88</oneSig>
+ <percentClustersPF>35.43</percentClustersPF>
+ <signal20AsPctOf1>82.59</signal20AsPctOf1>
+ <tileNumber>2101</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1287696</clusterCountPF>
+ <clusterCountRaw>6380853</clusterCountRaw>
+ <oneSig>1205.05</oneSig>
+ <percentClustersPF>20.18</percentClustersPF>
+ <signal20AsPctOf1>87.75</signal20AsPctOf1>
+ <tileNumber>2102</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3299242</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2103</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6024321</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2104</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6041139</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2105</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6065842</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2106</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5924388</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2107</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5810177</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2108</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6081345</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2201</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6434511</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2202</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4547035</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2203</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5924309</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2204</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5981859</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2205</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5706415</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2206</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6033825</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2207</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6078240</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2208</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2447011</clusterCountPF>
+ <clusterCountRaw>5856223</clusterCountRaw>
+ <oneSig>1180.01</oneSig>
+ <percentClustersPF>41.78</percentClustersPF>
+ <signal20AsPctOf1>93.05</signal20AsPctOf1>
+ <tileNumber>2301</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>879365</clusterCountPF>
+ <clusterCountRaw>6085412</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>14.45</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2302</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3459940</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2303</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6354552</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2304</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5912596</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2305</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5914029</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2306</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5058019</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2307</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5899621</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2308</tileNumber>
+ </Tile>
+ <readNumber>1</readNumber>
+ </Read>
+
+ <laneNumber>3</laneNumber>
+ </Lane>
+ <Lane>
+ <Read>
+ <Tile>
+ <clusterCountPF>2890389</clusterCountPF>
+ <clusterCountRaw>6154619</clusterCountRaw>
+ <oneSig>1106.26</oneSig>
+ <percentClustersPF>46.96</percentClustersPF>
+ <signal20AsPctOf1>84.42</signal20AsPctOf1>
+ <tileNumber>1101</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3859115</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1102</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6150759</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1103</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6062610</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1104</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6041213</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1105</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6048818</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1106</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5891349</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1107</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5878432</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1108</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2392573</clusterCountPF>
+ <clusterCountRaw>5835186</clusterCountRaw>
+ <oneSig>1125.79</oneSig>
+ <percentClustersPF>41.00</percentClustersPF>
+ <signal20AsPctOf1>83.06</signal20AsPctOf1>
+ <tileNumber>1201</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1735497</clusterCountPF>
+ <clusterCountRaw>5951872</clusterCountRaw>
+ <oneSig>1071.67</oneSig>
+ <percentClustersPF>29.16</percentClustersPF>
+ <signal20AsPctOf1>86.07</signal20AsPctOf1>
+ <tileNumber>1202</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5968968</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1203</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5974093</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1204</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6089365</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1205</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5465613</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1206</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6034569</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1207</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4926479</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1208</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1813170</clusterCountPF>
+ <clusterCountRaw>6065205</clusterCountRaw>
+ <oneSig>1134.80</oneSig>
+ <percentClustersPF>29.89</percentClustersPF>
+ <signal20AsPctOf1>83.87</signal20AsPctOf1>
+ <tileNumber>1301</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6072760</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1302</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6022433</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1303</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5914380</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1304</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6035108</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1305</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6110769</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1306</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5874705</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1307</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5932065</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1308</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1933417</clusterCountPF>
+ <clusterCountRaw>6057448</clusterCountRaw>
+ <oneSig>1230.29</oneSig>
+ <percentClustersPF>31.92</percentClustersPF>
+ <signal20AsPctOf1>85.88</signal20AsPctOf1>
+ <tileNumber>2101</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5897444</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2102</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6389435</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2103</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3815684</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2104</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6071732</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2105</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5821758</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2106</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5873744</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2107</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6008801</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2108</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1611899</clusterCountPF>
+ <clusterCountRaw>5880262</clusterCountRaw>
+ <oneSig>1241.48</oneSig>
+ <percentClustersPF>27.41</percentClustersPF>
+ <signal20AsPctOf1>0.00</signal20AsPctOf1>
+ <tileNumber>2201</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1996737</clusterCountPF>
+ <clusterCountRaw>6347857</clusterCountRaw>
+ <oneSig>1188.53</oneSig>
+ <percentClustersPF>31.46</percentClustersPF>
+ <signal20AsPctOf1>0.00</signal20AsPctOf1>
+ <tileNumber>2202</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6362861</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2203</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5852976</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2204</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6177697</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2205</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6022917</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2206</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6123053</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2207</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4798958</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2208</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4627342</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2301</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1458201</clusterCountPF>
+ <clusterCountRaw>6151616</clusterCountRaw>
+ <oneSig>1197.06</oneSig>
+ <percentClustersPF>23.70</percentClustersPF>
+ <signal20AsPctOf1>85.80</signal20AsPctOf1>
+ <tileNumber>2302</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6007566</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2303</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6300233</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2304</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5970238</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2305</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5954738</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2306</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6046864</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2307</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6017839</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2308</tileNumber>
+ </Tile>
+ <readNumber>1</readNumber>
+ </Read>
+
+ <laneNumber>4</laneNumber>
+ </Lane>
+ <Lane>
+ <Read>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5631135</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1101</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>2681269</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1102</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>2607227</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1103</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5940868</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1104</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3300266</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1105</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3183165</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1106</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3168588</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1107</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3105604</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1108</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3054041</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1201</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4779051</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1202</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5324239</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1203</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5972215</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1204</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3287230</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1205</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>2762623</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1206</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3156192</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1207</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>2971658</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1208</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>496907</clusterCountPF>
+ <clusterCountRaw>5676984</clusterCountRaw>
+ <oneSig>-685.71</oneSig>
+ <percentClustersPF>8.75</percentClustersPF>
+ <signal20AsPctOf1>138.72</signal20AsPctOf1>
+ <tileNumber>1301</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5350372</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1302</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5418521</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1303</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5941481</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1304</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3314554</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1305</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3168898</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1306</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3124790</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1307</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3116740</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1308</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1493791</clusterCountPF>
+ <clusterCountRaw>5492816</clusterCountRaw>
+ <oneSig>-532.02</oneSig>
+ <percentClustersPF>27.20</percentClustersPF>
+ <signal20AsPctOf1>148.77</signal20AsPctOf1>
+ <tileNumber>2101</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>514231</clusterCountPF>
+ <clusterCountRaw>5761146</clusterCountRaw>
+ <oneSig>-572.34</oneSig>
+ <percentClustersPF>8.93</percentClustersPF>
+ <signal20AsPctOf1>154.15</signal20AsPctOf1>
+ <tileNumber>2102</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3834974</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2103</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6041237</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2104</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3371454</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2105</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3271578</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2106</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3145886</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2107</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>2812963</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2108</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5714487</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2201</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>4323735</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2202</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5689972</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2203</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5590891</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2204</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>2565274</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2205</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3103834</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2206</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>2775071</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2207</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>2721788</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2208</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>2808679</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2301</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5740118</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2302</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>2710478</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2303</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6053923</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2304</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3311585</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2305</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3229925</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2306</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3052698</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2307</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>3161815</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2308</tileNumber>
+ </Tile>
+ <readNumber>1</readNumber>
+ </Read>
+
+ <laneNumber>5</laneNumber>
+ </Lane>
+ <Lane>
+ <Read>
+ <Tile>
+ <clusterCountPF>4328250</clusterCountPF>
+ <clusterCountRaw>6108747</clusterCountRaw>
+ <oneSig>1170.17</oneSig>
+ <percentClustersPF>70.85</percentClustersPF>
+ <signal20AsPctOf1>85.98</signal20AsPctOf1>
+ <tileNumber>1101</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3763550</clusterCountPF>
+ <clusterCountRaw>5974162</clusterCountRaw>
+ <oneSig>1171.51</oneSig>
+ <percentClustersPF>63.00</percentClustersPF>
+ <signal20AsPctOf1>85.49</signal20AsPctOf1>
+ <tileNumber>1102</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3376849</clusterCountPF>
+ <clusterCountRaw>5986042</clusterCountRaw>
+ <oneSig>1127.66</oneSig>
+ <percentClustersPF>56.41</percentClustersPF>
+ <signal20AsPctOf1>86.28</signal20AsPctOf1>
+ <tileNumber>1103</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1454678</clusterCountPF>
+ <clusterCountRaw>5553026</clusterCountRaw>
+ <oneSig>1038.63</oneSig>
+ <percentClustersPF>26.20</percentClustersPF>
+ <signal20AsPctOf1>90.35</signal20AsPctOf1>
+ <tileNumber>1104</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>836786</clusterCountPF>
+ <clusterCountRaw>5751374</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>14.55</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1105</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1008081</clusterCountPF>
+ <clusterCountRaw>5436595</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>18.54</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1106</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1089073</clusterCountPF>
+ <clusterCountRaw>4720242</clusterCountRaw>
+ <oneSig>970.77</oneSig>
+ <percentClustersPF>23.07</percentClustersPF>
+ <signal20AsPctOf1>87.99</signal20AsPctOf1>
+ <tileNumber>1107</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5628492</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1108</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4255350</clusterCountPF>
+ <clusterCountRaw>6074637</clusterCountRaw>
+ <oneSig>1111.85</oneSig>
+ <percentClustersPF>70.05</percentClustersPF>
+ <signal20AsPctOf1>90.15</signal20AsPctOf1>
+ <tileNumber>1201</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3764335</clusterCountPF>
+ <clusterCountRaw>5992750</clusterCountRaw>
+ <oneSig>1122.60</oneSig>
+ <percentClustersPF>62.81</percentClustersPF>
+ <signal20AsPctOf1>87.23</signal20AsPctOf1>
+ <tileNumber>1202</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2949541</clusterCountPF>
+ <clusterCountRaw>5863819</clusterCountRaw>
+ <oneSig>1041.75</oneSig>
+ <percentClustersPF>50.30</percentClustersPF>
+ <signal20AsPctOf1>91.25</signal20AsPctOf1>
+ <tileNumber>1203</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1960969</clusterCountPF>
+ <clusterCountRaw>5759754</clusterCountRaw>
+ <oneSig>985.74</oneSig>
+ <percentClustersPF>34.05</percentClustersPF>
+ <signal20AsPctOf1>94.16</signal20AsPctOf1>
+ <tileNumber>1204</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1458718</clusterCountPF>
+ <clusterCountRaw>5348340</clusterCountRaw>
+ <oneSig>973.95</oneSig>
+ <percentClustersPF>27.27</percentClustersPF>
+ <signal20AsPctOf1>92.07</signal20AsPctOf1>
+ <tileNumber>1205</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6188127</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1206</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6029568</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1207</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5783284</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1208</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4164137</clusterCountPF>
+ <clusterCountRaw>6062113</clusterCountRaw>
+ <oneSig>1111.15</oneSig>
+ <percentClustersPF>68.69</percentClustersPF>
+ <signal20AsPctOf1>90.64</signal20AsPctOf1>
+ <tileNumber>1301</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3807278</clusterCountPF>
+ <clusterCountRaw>6009706</clusterCountRaw>
+ <oneSig>1103.05</oneSig>
+ <percentClustersPF>63.35</percentClustersPF>
+ <signal20AsPctOf1>89.93</signal20AsPctOf1>
+ <tileNumber>1302</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2646889</clusterCountPF>
+ <clusterCountRaw>5860357</clusterCountRaw>
+ <oneSig>1047.72</oneSig>
+ <percentClustersPF>45.17</percentClustersPF>
+ <signal20AsPctOf1>91.04</signal20AsPctOf1>
+ <tileNumber>1303</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>618116</clusterCountPF>
+ <clusterCountRaw>5936009</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>10.41</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1304</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>966704</clusterCountPF>
+ <clusterCountRaw>5780730</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>16.72</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1305</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>985185</clusterCountPF>
+ <clusterCountRaw>5442490</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>18.10</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1306</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5865063</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1307</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5759999</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>1308</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4457818</clusterCountPF>
+ <clusterCountRaw>6178104</clusterCountRaw>
+ <oneSig>1290.91</oneSig>
+ <percentClustersPF>72.16</percentClustersPF>
+ <signal20AsPctOf1>87.89</signal20AsPctOf1>
+ <tileNumber>2101</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4135701</clusterCountPF>
+ <clusterCountRaw>6067338</clusterCountRaw>
+ <oneSig>1270.47</oneSig>
+ <percentClustersPF>68.16</percentClustersPF>
+ <signal20AsPctOf1>87.91</signal20AsPctOf1>
+ <tileNumber>2102</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3142805</clusterCountPF>
+ <clusterCountRaw>5915123</clusterCountRaw>
+ <oneSig>1190.65</oneSig>
+ <percentClustersPF>53.13</percentClustersPF>
+ <signal20AsPctOf1>91.67</signal20AsPctOf1>
+ <tileNumber>2103</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2857800</clusterCountPF>
+ <clusterCountRaw>5959413</clusterCountRaw>
+ <oneSig>1192.35</oneSig>
+ <percentClustersPF>47.95</percentClustersPF>
+ <signal20AsPctOf1>88.82</signal20AsPctOf1>
+ <tileNumber>2104</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1231733</clusterCountPF>
+ <clusterCountRaw>5733754</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>21.48</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2105</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>2633715</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2106</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>719661</clusterCountPF>
+ <clusterCountRaw>5147810</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>13.98</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2107</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5662637</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2108</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5811788</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2201</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5919142</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2202</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5921326</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2203</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5683685</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2204</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5369472</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2205</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5594894</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2206</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5888075</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2207</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5533822</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2208</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4347658</clusterCountPF>
+ <clusterCountRaw>6149228</clusterCountRaw>
+ <oneSig>1270.97</oneSig>
+ <percentClustersPF>70.70</percentClustersPF>
+ <signal20AsPctOf1>87.57</signal20AsPctOf1>
+ <tileNumber>2301</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3927517</clusterCountPF>
+ <clusterCountRaw>6038155</clusterCountRaw>
+ <oneSig>1260.11</oneSig>
+ <percentClustersPF>65.04</percentClustersPF>
+ <signal20AsPctOf1>88.09</signal20AsPctOf1>
+ <tileNumber>2302</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1031548</clusterCountPF>
+ <clusterCountRaw>3463054</clusterCountRaw>
+ <oneSig>1223.05</oneSig>
+ <percentClustersPF>29.79</percentClustersPF>
+ <signal20AsPctOf1>88.74</signal20AsPctOf1>
+ <tileNumber>2303</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>464073</clusterCountPF>
+ <clusterCountRaw>6006755</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>7.73</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2304</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1812404</clusterCountPF>
+ <clusterCountRaw>5211053</clusterCountRaw>
+ <oneSig>1109.48</oneSig>
+ <percentClustersPF>34.78</percentClustersPF>
+ <signal20AsPctOf1>92.72</signal20AsPctOf1>
+ <tileNumber>2305</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>6128662</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2306</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5927816</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2307</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>5684780</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2308</tileNumber>
+ </Tile>
+ <readNumber>1</readNumber>
+ </Read>
+
+ <laneNumber>6</laneNumber>
+ </Lane>
+ <Lane>
+ <Read>
+ <Tile>
+ <clusterCountPF>1290892</clusterCountPF>
+ <clusterCountRaw>1318384</clusterCountRaw>
+ <oneSig>1457.61</oneSig>
+ <percentClustersPF>97.91</percentClustersPF>
+ <signal20AsPctOf1>93.12</signal20AsPctOf1>
+ <tileNumber>1101</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1405177</clusterCountPF>
+ <clusterCountRaw>1435753</clusterCountRaw>
+ <oneSig>1428.15</oneSig>
+ <percentClustersPF>97.87</percentClustersPF>
+ <signal20AsPctOf1>93.14</signal20AsPctOf1>
+ <tileNumber>1102</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1518681</clusterCountPF>
+ <clusterCountRaw>1553867</clusterCountRaw>
+ <oneSig>1415.45</oneSig>
+ <percentClustersPF>97.74</percentClustersPF>
+ <signal20AsPctOf1>93.14</signal20AsPctOf1>
+ <tileNumber>1103</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1674083</clusterCountPF>
+ <clusterCountRaw>1713366</clusterCountRaw>
+ <oneSig>1397.13</oneSig>
+ <percentClustersPF>97.71</percentClustersPF>
+ <signal20AsPctOf1>91.75</signal20AsPctOf1>
+ <tileNumber>1104</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1848975</clusterCountPF>
+ <clusterCountRaw>1894031</clusterCountRaw>
+ <oneSig>1453.02</oneSig>
+ <percentClustersPF>97.62</percentClustersPF>
+ <signal20AsPctOf1>87.65</signal20AsPctOf1>
+ <tileNumber>1105</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2036288</clusterCountPF>
+ <clusterCountRaw>2089577</clusterCountRaw>
+ <oneSig>1351.03</oneSig>
+ <percentClustersPF>97.45</percentClustersPF>
+ <signal20AsPctOf1>92.96</signal20AsPctOf1>
+ <tileNumber>1106</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2235825</clusterCountPF>
+ <clusterCountRaw>2300996</clusterCountRaw>
+ <oneSig>1330.80</oneSig>
+ <percentClustersPF>97.17</percentClustersPF>
+ <signal20AsPctOf1>92.09</signal20AsPctOf1>
+ <tileNumber>1107</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2451380</clusterCountPF>
+ <clusterCountRaw>2541307</clusterCountRaw>
+ <oneSig>1293.67</oneSig>
+ <percentClustersPF>96.46</percentClustersPF>
+ <signal20AsPctOf1>91.71</signal20AsPctOf1>
+ <tileNumber>1108</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1248007</clusterCountPF>
+ <clusterCountRaw>1271398</clusterCountRaw>
+ <oneSig>1456.86</oneSig>
+ <percentClustersPF>98.16</percentClustersPF>
+ <signal20AsPctOf1>92.75</signal20AsPctOf1>
+ <tileNumber>1201</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1353214</clusterCountPF>
+ <clusterCountRaw>1379519</clusterCountRaw>
+ <oneSig>1373.11</oneSig>
+ <percentClustersPF>98.09</percentClustersPF>
+ <signal20AsPctOf1>92.92</signal20AsPctOf1>
+ <tileNumber>1202</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1476775</clusterCountPF>
+ <clusterCountRaw>1506069</clusterCountRaw>
+ <oneSig>1406.85</oneSig>
+ <percentClustersPF>98.05</percentClustersPF>
+ <signal20AsPctOf1>92.17</signal20AsPctOf1>
+ <tileNumber>1203</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1596576</clusterCountPF>
+ <clusterCountRaw>1629689</clusterCountRaw>
+ <oneSig>1395.32</oneSig>
+ <percentClustersPF>97.97</percentClustersPF>
+ <signal20AsPctOf1>90.76</signal20AsPctOf1>
+ <tileNumber>1204</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1802357</clusterCountPF>
+ <clusterCountRaw>1838238</clusterCountRaw>
+ <oneSig>1383.42</oneSig>
+ <percentClustersPF>98.05</percentClustersPF>
+ <signal20AsPctOf1>91.84</signal20AsPctOf1>
+ <tileNumber>1205</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1985501</clusterCountPF>
+ <clusterCountRaw>2028373</clusterCountRaw>
+ <oneSig>1355.39</oneSig>
+ <percentClustersPF>97.89</percentClustersPF>
+ <signal20AsPctOf1>91.43</signal20AsPctOf1>
+ <tileNumber>1206</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2182408</clusterCountPF>
+ <clusterCountRaw>2237640</clusterCountRaw>
+ <oneSig>1326.23</oneSig>
+ <percentClustersPF>97.53</percentClustersPF>
+ <signal20AsPctOf1>91.95</signal20AsPctOf1>
+ <tileNumber>1207</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2412726</clusterCountPF>
+ <clusterCountRaw>2498414</clusterCountRaw>
+ <oneSig>1284.50</oneSig>
+ <percentClustersPF>96.57</percentClustersPF>
+ <signal20AsPctOf1>91.14</signal20AsPctOf1>
+ <tileNumber>1208</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1329553</clusterCountPF>
+ <clusterCountRaw>1353194</clusterCountRaw>
+ <oneSig>1500.38</oneSig>
+ <percentClustersPF>98.25</percentClustersPF>
+ <signal20AsPctOf1>90.00</signal20AsPctOf1>
+ <tileNumber>1301</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1448646</clusterCountPF>
+ <clusterCountRaw>1475015</clusterCountRaw>
+ <oneSig>1426.92</oneSig>
+ <percentClustersPF>98.21</percentClustersPF>
+ <signal20AsPctOf1>91.04</signal20AsPctOf1>
+ <tileNumber>1302</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1584849</clusterCountPF>
+ <clusterCountRaw>1618578</clusterCountRaw>
+ <oneSig>1418.87</oneSig>
+ <percentClustersPF>97.92</percentClustersPF>
+ <signal20AsPctOf1>90.98</signal20AsPctOf1>
+ <tileNumber>1303</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1703358</clusterCountPF>
+ <clusterCountRaw>1738426</clusterCountRaw>
+ <oneSig>1408.33</oneSig>
+ <percentClustersPF>97.98</percentClustersPF>
+ <signal20AsPctOf1>90.65</signal20AsPctOf1>
+ <tileNumber>1304</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1962537</clusterCountPF>
+ <clusterCountRaw>2003605</clusterCountRaw>
+ <oneSig>1417.26</oneSig>
+ <percentClustersPF>97.95</percentClustersPF>
+ <signal20AsPctOf1>88.90</signal20AsPctOf1>
+ <tileNumber>1305</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2155571</clusterCountPF>
+ <clusterCountRaw>2205956</clusterCountRaw>
+ <oneSig>1353.91</oneSig>
+ <percentClustersPF>97.72</percentClustersPF>
+ <signal20AsPctOf1>91.89</signal20AsPctOf1>
+ <tileNumber>1306</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2371794</clusterCountPF>
+ <clusterCountRaw>2438582</clusterCountRaw>
+ <oneSig>1349.40</oneSig>
+ <percentClustersPF>97.26</percentClustersPF>
+ <signal20AsPctOf1>87.65</signal20AsPctOf1>
+ <tileNumber>1307</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2609442</clusterCountPF>
+ <clusterCountRaw>2697578</clusterCountRaw>
+ <oneSig>1273.05</oneSig>
+ <percentClustersPF>96.73</percentClustersPF>
+ <signal20AsPctOf1>89.13</signal20AsPctOf1>
+ <tileNumber>1308</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1274462</clusterCountPF>
+ <clusterCountRaw>1301586</clusterCountRaw>
+ <oneSig>1601.86</oneSig>
+ <percentClustersPF>97.92</percentClustersPF>
+ <signal20AsPctOf1>92.97</signal20AsPctOf1>
+ <tileNumber>2101</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1383611</clusterCountPF>
+ <clusterCountRaw>1413798</clusterCountRaw>
+ <oneSig>1567.26</oneSig>
+ <percentClustersPF>97.86</percentClustersPF>
+ <signal20AsPctOf1>92.72</signal20AsPctOf1>
+ <tileNumber>2102</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1500886</clusterCountPF>
+ <clusterCountRaw>1538148</clusterCountRaw>
+ <oneSig>1575.16</oneSig>
+ <percentClustersPF>97.58</percentClustersPF>
+ <signal20AsPctOf1>91.30</signal20AsPctOf1>
+ <tileNumber>2103</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1658029</clusterCountPF>
+ <clusterCountRaw>1695613</clusterCountRaw>
+ <oneSig>1551.84</oneSig>
+ <percentClustersPF>97.78</percentClustersPF>
+ <signal20AsPctOf1>92.03</signal20AsPctOf1>
+ <tileNumber>2104</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1833421</clusterCountPF>
+ <clusterCountRaw>1876931</clusterCountRaw>
+ <oneSig>1525.11</oneSig>
+ <percentClustersPF>97.68</percentClustersPF>
+ <signal20AsPctOf1>92.43</signal20AsPctOf1>
+ <tileNumber>2105</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2026973</clusterCountPF>
+ <clusterCountRaw>2078853</clusterCountRaw>
+ <oneSig>1509.17</oneSig>
+ <percentClustersPF>97.50</percentClustersPF>
+ <signal20AsPctOf1>91.91</signal20AsPctOf1>
+ <tileNumber>2106</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2259381</clusterCountPF>
+ <clusterCountRaw>2325032</clusterCountRaw>
+ <oneSig>1467.69</oneSig>
+ <percentClustersPF>97.18</percentClustersPF>
+ <signal20AsPctOf1>92.25</signal20AsPctOf1>
+ <tileNumber>2107</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2558255</clusterCountPF>
+ <clusterCountRaw>2655400</clusterCountRaw>
+ <oneSig>1444.06</oneSig>
+ <percentClustersPF>96.34</percentClustersPF>
+ <signal20AsPctOf1>91.44</signal20AsPctOf1>
+ <tileNumber>2108</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>970653</clusterCountPF>
+ <clusterCountRaw>1235179</clusterCountRaw>
+ <oneSig>1584.09</oneSig>
+ <percentClustersPF>78.58</percentClustersPF>
+ <signal20AsPctOf1>93.93</signal20AsPctOf1>
+ <tileNumber>2201</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>1342455</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2202</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>1465297</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2203</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>675140</clusterCountPF>
+ <clusterCountRaw>1582751</clusterCountRaw>
+ <oneSig>1505.46</oneSig>
+ <percentClustersPF>42.66</percentClustersPF>
+ <signal20AsPctOf1>94.13</signal20AsPctOf1>
+ <tileNumber>2204</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>1775056</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2205</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>1957270</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2206</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>0</clusterCountPF>
+ <clusterCountRaw>2164043</clusterCountRaw>
+ <oneSig>0.00</oneSig>
+ <percentClustersPF>0.00</percentClustersPF>
+ <signal20AsPctOf1>N/A</signal20AsPctOf1>
+ <tileNumber>2207</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1254733</clusterCountPF>
+ <clusterCountRaw>2441653</clusterCountRaw>
+ <oneSig>1444.53</oneSig>
+ <percentClustersPF>51.39</percentClustersPF>
+ <signal20AsPctOf1>93.17</signal20AsPctOf1>
+ <tileNumber>2208</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1296622</clusterCountPF>
+ <clusterCountRaw>1325781</clusterCountRaw>
+ <oneSig>1494.17</oneSig>
+ <percentClustersPF>97.80</percentClustersPF>
+ <signal20AsPctOf1>98.31</signal20AsPctOf1>
+ <tileNumber>2301</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1424658</clusterCountPF>
+ <clusterCountRaw>1452340</clusterCountRaw>
+ <oneSig>1528.87</oneSig>
+ <percentClustersPF>98.09</percentClustersPF>
+ <signal20AsPctOf1>93.49</signal20AsPctOf1>
+ <tileNumber>2302</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1569437</clusterCountPF>
+ <clusterCountRaw>1602067</clusterCountRaw>
+ <oneSig>1539.36</oneSig>
+ <percentClustersPF>97.96</percentClustersPF>
+ <signal20AsPctOf1>93.10</signal20AsPctOf1>
+ <tileNumber>2303</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1682427</clusterCountPF>
+ <clusterCountRaw>1720505</clusterCountRaw>
+ <oneSig>1521.03</oneSig>
+ <percentClustersPF>97.79</percentClustersPF>
+ <signal20AsPctOf1>92.61</signal20AsPctOf1>
+ <tileNumber>2304</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>1939141</clusterCountPF>
+ <clusterCountRaw>1979800</clusterCountRaw>
+ <oneSig>1523.67</oneSig>
+ <percentClustersPF>97.95</percentClustersPF>
+ <signal20AsPctOf1>91.62</signal20AsPctOf1>
+ <tileNumber>2305</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2134547</clusterCountPF>
+ <clusterCountRaw>2184095</clusterCountRaw>
+ <oneSig>1486.10</oneSig>
+ <percentClustersPF>97.73</percentClustersPF>
+ <signal20AsPctOf1>92.33</signal20AsPctOf1>
+ <tileNumber>2306</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2356389</clusterCountPF>
+ <clusterCountRaw>2421537</clusterCountRaw>
+ <oneSig>1466.46</oneSig>
+ <percentClustersPF>97.31</percentClustersPF>
+ <signal20AsPctOf1>91.63</signal20AsPctOf1>
+ <tileNumber>2307</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2602908</clusterCountPF>
+ <clusterCountRaw>2695532</clusterCountRaw>
+ <oneSig>1428.19</oneSig>
+ <percentClustersPF>96.56</percentClustersPF>
+ <signal20AsPctOf1>92.25</signal20AsPctOf1>
+ <tileNumber>2308</tileNumber>
+ </Tile>
+ <readNumber>1</readNumber>
+ </Read>
+
+ <laneNumber>7</laneNumber>
+ </Lane>
+ <Lane>
+ <Read>
+ <Tile>
+ <clusterCountPF>3672425</clusterCountPF>
+ <clusterCountRaw>3999929</clusterCountRaw>
+ <oneSig>1359.39</oneSig>
+ <percentClustersPF>91.81</percentClustersPF>
+ <signal20AsPctOf1>88.45</signal20AsPctOf1>
+ <tileNumber>1101</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3843360</clusterCountPF>
+ <clusterCountRaw>4214896</clusterCountRaw>
+ <oneSig>1338.54</oneSig>
+ <percentClustersPF>91.19</percentClustersPF>
+ <signal20AsPctOf1>88.01</signal20AsPctOf1>
+ <tileNumber>1102</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3985275</clusterCountPF>
+ <clusterCountRaw>4432069</clusterCountRaw>
+ <oneSig>1321.41</oneSig>
+ <percentClustersPF>89.92</percentClustersPF>
+ <signal20AsPctOf1>88.40</signal20AsPctOf1>
+ <tileNumber>1103</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4195701</clusterCountPF>
+ <clusterCountRaw>4688257</clusterCountRaw>
+ <oneSig>1298.99</oneSig>
+ <percentClustersPF>89.49</percentClustersPF>
+ <signal20AsPctOf1>87.97</signal20AsPctOf1>
+ <tileNumber>1104</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4416383</clusterCountPF>
+ <clusterCountRaw>4972645</clusterCountRaw>
+ <oneSig>1283.87</oneSig>
+ <percentClustersPF>88.81</percentClustersPF>
+ <signal20AsPctOf1>88.72</signal20AsPctOf1>
+ <tileNumber>1105</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4542437</clusterCountPF>
+ <clusterCountRaw>5209248</clusterCountRaw>
+ <oneSig>1258.05</oneSig>
+ <percentClustersPF>87.20</percentClustersPF>
+ <signal20AsPctOf1>87.14</signal20AsPctOf1>
+ <tileNumber>1106</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4596548</clusterCountPF>
+ <clusterCountRaw>5399922</clusterCountRaw>
+ <oneSig>1230.54</oneSig>
+ <percentClustersPF>85.12</percentClustersPF>
+ <signal20AsPctOf1>87.31</signal20AsPctOf1>
+ <tileNumber>1107</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4316902</clusterCountPF>
+ <clusterCountRaw>5826697</clusterCountRaw>
+ <oneSig>1182.73</oneSig>
+ <percentClustersPF>74.09</percentClustersPF>
+ <signal20AsPctOf1>87.01</signal20AsPctOf1>
+ <tileNumber>1108</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3559633</clusterCountPF>
+ <clusterCountRaw>3873994</clusterCountRaw>
+ <oneSig>1365.15</oneSig>
+ <percentClustersPF>91.89</percentClustersPF>
+ <signal20AsPctOf1>87.07</signal20AsPctOf1>
+ <tileNumber>1201</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3742085</clusterCountPF>
+ <clusterCountRaw>4103838</clusterCountRaw>
+ <oneSig>1345.87</oneSig>
+ <percentClustersPF>91.19</percentClustersPF>
+ <signal20AsPctOf1>87.69</signal20AsPctOf1>
+ <tileNumber>1202</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3809926</clusterCountPF>
+ <clusterCountRaw>4219389</clusterCountRaw>
+ <oneSig>1314.55</oneSig>
+ <percentClustersPF>90.30</percentClustersPF>
+ <signal20AsPctOf1>88.34</signal20AsPctOf1>
+ <tileNumber>1203</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4095946</clusterCountPF>
+ <clusterCountRaw>4572435</clusterCountRaw>
+ <oneSig>1296.18</oneSig>
+ <percentClustersPF>89.58</percentClustersPF>
+ <signal20AsPctOf1>88.12</signal20AsPctOf1>
+ <tileNumber>1204</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4329806</clusterCountPF>
+ <clusterCountRaw>4852097</clusterCountRaw>
+ <oneSig>1291.90</oneSig>
+ <percentClustersPF>89.24</percentClustersPF>
+ <signal20AsPctOf1>87.70</signal20AsPctOf1>
+ <tileNumber>1205</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4484284</clusterCountPF>
+ <clusterCountRaw>5103542</clusterCountRaw>
+ <oneSig>1271.54</oneSig>
+ <percentClustersPF>87.87</percentClustersPF>
+ <signal20AsPctOf1>86.33</signal20AsPctOf1>
+ <tileNumber>1206</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4545978</clusterCountPF>
+ <clusterCountRaw>5322851</clusterCountRaw>
+ <oneSig>1240.07</oneSig>
+ <percentClustersPF>85.40</percentClustersPF>
+ <signal20AsPctOf1>86.60</signal20AsPctOf1>
+ <tileNumber>1207</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4236437</clusterCountPF>
+ <clusterCountRaw>5399609</clusterCountRaw>
+ <oneSig>1200.52</oneSig>
+ <percentClustersPF>78.46</percentClustersPF>
+ <signal20AsPctOf1>82.29</signal20AsPctOf1>
+ <tileNumber>1208</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3745093</clusterCountPF>
+ <clusterCountRaw>4091803</clusterCountRaw>
+ <oneSig>1377.26</oneSig>
+ <percentClustersPF>91.53</percentClustersPF>
+ <signal20AsPctOf1>85.86</signal20AsPctOf1>
+ <tileNumber>1301</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3938377</clusterCountPF>
+ <clusterCountRaw>4338397</clusterCountRaw>
+ <oneSig>1338.33</oneSig>
+ <percentClustersPF>90.78</percentClustersPF>
+ <signal20AsPctOf1>87.63</signal20AsPctOf1>
+ <tileNumber>1302</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3963514</clusterCountPF>
+ <clusterCountRaw>4395406</clusterCountRaw>
+ <oneSig>1308.84</oneSig>
+ <percentClustersPF>90.17</percentClustersPF>
+ <signal20AsPctOf1>88.08</signal20AsPctOf1>
+ <tileNumber>1303</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4282045</clusterCountPF>
+ <clusterCountRaw>4835601</clusterCountRaw>
+ <oneSig>1287.81</oneSig>
+ <percentClustersPF>88.55</percentClustersPF>
+ <signal20AsPctOf1>87.58</signal20AsPctOf1>
+ <tileNumber>1304</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4498474</clusterCountPF>
+ <clusterCountRaw>5114668</clusterCountRaw>
+ <oneSig>1282.81</oneSig>
+ <percentClustersPF>87.95</percentClustersPF>
+ <signal20AsPctOf1>87.46</signal20AsPctOf1>
+ <tileNumber>1305</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4602295</clusterCountPF>
+ <clusterCountRaw>5337911</clusterCountRaw>
+ <oneSig>1257.03</oneSig>
+ <percentClustersPF>86.22</percentClustersPF>
+ <signal20AsPctOf1>86.97</signal20AsPctOf1>
+ <tileNumber>1306</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4600782</clusterCountPF>
+ <clusterCountRaw>5501477</clusterCountRaw>
+ <oneSig>1225.51</oneSig>
+ <percentClustersPF>83.63</percentClustersPF>
+ <signal20AsPctOf1>86.53</signal20AsPctOf1>
+ <tileNumber>1307</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4145380</clusterCountPF>
+ <clusterCountRaw>5872929</clusterCountRaw>
+ <oneSig>1175.25</oneSig>
+ <percentClustersPF>70.58</percentClustersPF>
+ <signal20AsPctOf1>83.85</signal20AsPctOf1>
+ <tileNumber>1308</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3654318</clusterCountPF>
+ <clusterCountRaw>3969110</clusterCountRaw>
+ <oneSig>1467.08</oneSig>
+ <percentClustersPF>92.07</percentClustersPF>
+ <signal20AsPctOf1>90.01</signal20AsPctOf1>
+ <tileNumber>2101</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3839864</clusterCountPF>
+ <clusterCountRaw>4184268</clusterCountRaw>
+ <oneSig>1439.99</oneSig>
+ <percentClustersPF>91.77</percentClustersPF>
+ <signal20AsPctOf1>90.66</signal20AsPctOf1>
+ <tileNumber>2102</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3969051</clusterCountPF>
+ <clusterCountRaw>4413583</clusterCountRaw>
+ <oneSig>1422.63</oneSig>
+ <percentClustersPF>89.93</percentClustersPF>
+ <signal20AsPctOf1>90.66</signal20AsPctOf1>
+ <tileNumber>2103</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4219627</clusterCountPF>
+ <clusterCountRaw>4681613</clusterCountRaw>
+ <oneSig>1403.97</oneSig>
+ <percentClustersPF>90.13</percentClustersPF>
+ <signal20AsPctOf1>90.49</signal20AsPctOf1>
+ <tileNumber>2104</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4414065</clusterCountPF>
+ <clusterCountRaw>4956383</clusterCountRaw>
+ <oneSig>1386.15</oneSig>
+ <percentClustersPF>89.06</percentClustersPF>
+ <signal20AsPctOf1>89.95</signal20AsPctOf1>
+ <tileNumber>2105</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4579204</clusterCountPF>
+ <clusterCountRaw>5232590</clusterCountRaw>
+ <oneSig>1365.53</oneSig>
+ <percentClustersPF>87.51</percentClustersPF>
+ <signal20AsPctOf1>89.26</signal20AsPctOf1>
+ <tileNumber>2106</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4682961</clusterCountPF>
+ <clusterCountRaw>5469205</clusterCountRaw>
+ <oneSig>1333.32</oneSig>
+ <percentClustersPF>85.62</percentClustersPF>
+ <signal20AsPctOf1>89.03</signal20AsPctOf1>
+ <tileNumber>2107</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3928926</clusterCountPF>
+ <clusterCountRaw>5870004</clusterCountRaw>
+ <oneSig>1286.80</oneSig>
+ <percentClustersPF>66.93</percentClustersPF>
+ <signal20AsPctOf1>87.34</signal20AsPctOf1>
+ <tileNumber>2108</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3556282</clusterCountPF>
+ <clusterCountRaw>3852699</clusterCountRaw>
+ <oneSig>1457.50</oneSig>
+ <percentClustersPF>92.31</percentClustersPF>
+ <signal20AsPctOf1>88.49</signal20AsPctOf1>
+ <tileNumber>2201</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3741136</clusterCountPF>
+ <clusterCountRaw>4072130</clusterCountRaw>
+ <oneSig>1441.42</oneSig>
+ <percentClustersPF>91.87</percentClustersPF>
+ <signal20AsPctOf1>89.42</signal20AsPctOf1>
+ <tileNumber>2202</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3842742</clusterCountPF>
+ <clusterCountRaw>4212391</clusterCountRaw>
+ <oneSig>1415.97</oneSig>
+ <percentClustersPF>91.22</percentClustersPF>
+ <signal20AsPctOf1>89.95</signal20AsPctOf1>
+ <tileNumber>2203</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4140127</clusterCountPF>
+ <clusterCountRaw>4577001</clusterCountRaw>
+ <oneSig>1387.43</oneSig>
+ <percentClustersPF>90.46</percentClustersPF>
+ <signal20AsPctOf1>89.88</signal20AsPctOf1>
+ <tileNumber>2204</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4372303</clusterCountPF>
+ <clusterCountRaw>4862284</clusterCountRaw>
+ <oneSig>1384.77</oneSig>
+ <percentClustersPF>89.92</percentClustersPF>
+ <signal20AsPctOf1>88.76</signal20AsPctOf1>
+ <tileNumber>2205</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4531801</clusterCountPF>
+ <clusterCountRaw>5119662</clusterCountRaw>
+ <oneSig>1367.26</oneSig>
+ <percentClustersPF>88.52</percentClustersPF>
+ <signal20AsPctOf1>88.81</signal20AsPctOf1>
+ <tileNumber>2206</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4148375</clusterCountPF>
+ <clusterCountRaw>5301292</clusterCountRaw>
+ <oneSig>1326.28</oneSig>
+ <percentClustersPF>78.25</percentClustersPF>
+ <signal20AsPctOf1>89.46</signal20AsPctOf1>
+ <tileNumber>2207</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3747919</clusterCountPF>
+ <clusterCountRaw>5523881</clusterCountRaw>
+ <oneSig>1328.04</oneSig>
+ <percentClustersPF>67.85</percentClustersPF>
+ <signal20AsPctOf1>85.54</signal20AsPctOf1>
+ <tileNumber>2208</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3685991</clusterCountPF>
+ <clusterCountRaw>4034260</clusterCountRaw>
+ <oneSig>1437.04</oneSig>
+ <percentClustersPF>91.37</percentClustersPF>
+ <signal20AsPctOf1>88.87</signal20AsPctOf1>
+ <tileNumber>2301</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3894450</clusterCountPF>
+ <clusterCountRaw>4285846</clusterCountRaw>
+ <oneSig>1425.73</oneSig>
+ <percentClustersPF>90.87</percentClustersPF>
+ <signal20AsPctOf1>89.86</signal20AsPctOf1>
+ <tileNumber>2302</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>3941822</clusterCountPF>
+ <clusterCountRaw>4382141</clusterCountRaw>
+ <oneSig>1397.98</oneSig>
+ <percentClustersPF>89.95</percentClustersPF>
+ <signal20AsPctOf1>90.41</signal20AsPctOf1>
+ <tileNumber>2303</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4299760</clusterCountPF>
+ <clusterCountRaw>4825173</clusterCountRaw>
+ <oneSig>1380.92</oneSig>
+ <percentClustersPF>89.11</percentClustersPF>
+ <signal20AsPctOf1>89.99</signal20AsPctOf1>
+ <tileNumber>2304</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4523197</clusterCountPF>
+ <clusterCountRaw>5101827</clusterCountRaw>
+ <oneSig>1374.81</oneSig>
+ <percentClustersPF>88.66</percentClustersPF>
+ <signal20AsPctOf1>89.72</signal20AsPctOf1>
+ <tileNumber>2305</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4658536</clusterCountPF>
+ <clusterCountRaw>5357124</clusterCountRaw>
+ <oneSig>1362.66</oneSig>
+ <percentClustersPF>86.96</percentClustersPF>
+ <signal20AsPctOf1>88.93</signal20AsPctOf1>
+ <tileNumber>2306</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>4706753</clusterCountPF>
+ <clusterCountRaw>5569616</clusterCountRaw>
+ <oneSig>1336.27</oneSig>
+ <percentClustersPF>84.51</percentClustersPF>
+ <signal20AsPctOf1>89.15</signal20AsPctOf1>
+ <tileNumber>2307</tileNumber>
+ </Tile>
+ <Tile>
+ <clusterCountPF>2196707</clusterCountPF>
+ <clusterCountRaw>3787138</clusterCountRaw>
+ <oneSig>1265.29</oneSig>
+ <percentClustersPF>58.00</percentClustersPF>
+ <signal20AsPctOf1>89.55</signal20AsPctOf1>
+ <tileNumber>2308</tileNumber>
+ </Tile>
+ <readNumber>1</readNumber>
+ </Read>
+
+ <laneNumber>8</laneNumber>
+ </Lane>
+ </TileResultsByLane>
+</BustardSummary>
--- /dev/null
+<?xml version="1.0" encoding="utf-8"?>\r
+<!--Illumina RTA Status Report-->\r
+<Status>\r
+ <Software>Illumina RTA 1.12.4.2</Software>\r
+ <RunName>110815_SN787_0101_AD07K6ACXX</RunName>\r
+ <InstrumentName>HWI-ST0787</InstrumentName>\r
+ <RunStarted>Thursday, August 18, 2011 12:33 PM</RunStarted>\r
+ <NumCycles>57</NumCycles>\r
+ <ImgCycle>57</ImgCycle>\r
+ <ScoreCycle>57</ScoreCycle>\r
+ <CallCycle>57</CallCycle>\r
+ <InputDir>D:\Illumina\HiSeqTemp\110815_SN787_0101_AD07K6ACXX</InputDir>\r
+ <OutputDir>\\NICODEMUS\volvox\110815_SN787_0101_AD07K6ACXX</OutputDir>\r
+ <Configuration>\r
+ <CopyAllFiles>true</CopyAllFiles>\r
+ <CopyImages>False</CopyImages>\r
+ <DeleteImages>True</DeleteImages>\r
+ <RunInfoExists>True</RunInfoExists>\r
+ <IsPairedEndRun>False</IsPairedEndRun>\r
+ <NumberOfReads>2</NumberOfReads>\r
+ <NumberOfLanes>8</NumberOfLanes>\r
+ <TilesPerLane>48</TilesPerLane>\r
+ <ControlLane>0</ControlLane>\r
+ </Configuration>\r
+</Status>
\ No newline at end of file
--- /dev/null
+<?xml version="1.0" encoding="utf-8"?><!--Illumina RTA Status Report--><Status><NumCycles>57</NumCycles><ImgCycle>57</ImgCycle><ScoreCycle>57</ScoreCycle><CopyCycle>57</CopyCycle><CallCycle>57</CallCycle><ErrRateCycle>57</ErrRateCycle></Status>
\ No newline at end of file
--- /dev/null
+<?xml version="1.0" encoding="utf-8"?><!--Illumina RTA Data--><Summary Read="1" densityRatio="0.173619792"><Lane key="1" TileCount="48" ClustersRaw="3878755" ClustersRawSD="579626.0" ClustersPF="1040253" ClustersPFSD="1059982.5" PrcPFClusters="27.8" PrcPFClustersSD="27.72" Phasing="0.381" Prephasing="0.084" CalledCyclesMin="0" CalledCyclesMax="0" PrcAlign="0.00" PrcAlignSD="0.000" ErrRatePhiX="0.00" ErrRatePhiXSD="0.000" ErrRate35="0.00" ErrRate35SD="0.000" ErrRate75="0.00" ErrRate75SD="0.000" ErrRate100="0.00" ErrRate100SD="0.000" FirstCycleIntPF="707" FirstCycleIntPFSD="2076.1" PrcIntensityAfter20CyclesPF="60.0" PrcIntensityAfter20CyclesPFSD="6.61" /><Lane key="2" TileCount="48" ClustersRaw="3920639" ClustersRawSD="1027332.4" ClustersPF="474380" ClustersPFSD="739312.7" PrcPFClusters="13.4" PrcPFClustersSD="17.58" Phasing="0.369" Prephasing="0.251" CalledCyclesMin="0" CalledCyclesMax="0" PrcAlign="0.00" PrcAlignSD="0.000" ErrRatePhiX="0.00" ErrRatePhiXSD="0.000" ErrRate35="0.00" ErrRate35SD="0.000" ErrRate75="0.00" ErrRate75SD="0.000" ErrRate100="0.00" ErrRate100SD="0.000" FirstCycleIntPF="2617" FirstCycleIntPFSD="3391.7" PrcIntensityAfter20CyclesPF="60.0" PrcIntensityAfter20CyclesPFSD="5.30" /><Lane key="3" TileCount="48" ClustersRaw="5713049" ClustersRawSD="876187.3" ClustersPF="376501" ClustersPFSD="895452.3" PrcPFClusters="6.0" PrcPFClustersSD="14.30" Phasing="0.247" Prephasing="0.200" CalledCyclesMin="0" CalledCyclesMax="0" PrcAlign="0.00" PrcAlignSD="0.000" ErrRatePhiX="0.00" ErrRatePhiXSD="0.000" ErrRate35="0.00" ErrRate35SD="0.000" ErrRate75="0.00" ErrRate75SD="0.000" ErrRate100="0.00" ErrRate100SD="0.000" FirstCycleIntPF="5279" FirstCycleIntPFSD="1974.8" PrcIntensityAfter20CyclesPF="21.8" PrcIntensityAfter20CyclesPFSD="35.10" /><Lane key="4" TileCount="48" ClustersRaw="5852907" ClustersRawSD="538640.6" ClustersPF="329831" ClustersPFSD="758370.9" PrcPFClusters="5.4" PrcPFClustersSD="12.52" Phasing="0.210" Prephasing="0.180" CalledCyclesMin="0" CalledCyclesMax="0" PrcAlign="0.00" PrcAlignSD="0.000" ErrRatePhiX="0.00" ErrRatePhiXSD="0.000" ErrRate35="0.00" ErrRate35SD="0.000" ErrRate75="0.00" ErrRate75SD="0.000" ErrRate100="0.00" ErrRate100SD="0.000" FirstCycleIntPF="4181" FirstCycleIntPFSD="1283.3" PrcIntensityAfter20CyclesPF="29.0" PrcIntensityAfter20CyclesPFSD="45.34" /><Lane key="5" TileCount="48" ClustersRaw="4006751" ClustersRawSD="1265247.4" ClustersPF="52186" ClustersPFSD="233275.6" PrcPFClusters="0.9" PrcPFClustersSD="4.22" Phasing="0.000" Prephasing="0.000" CalledCyclesMin="0" CalledCyclesMax="0" PrcAlign="0.00" PrcAlignSD="0.000" ErrRatePhiX="0.00" ErrRatePhiXSD="0.000" ErrRate35="0.00" ErrRate35SD="0.000" ErrRate75="0.00" ErrRate75SD="0.000" ErrRate100="0.00" ErrRate100SD="0.000" FirstCycleIntPF="2579" FirstCycleIntPFSD="2952.5" PrcIntensityAfter20CyclesPF="16.0" PrcIntensityAfter20CyclesPFSD="29.57" /><Lane key="6" TileCount="48" ClustersRaw="5678021" ClustersRawSD="627070.7" ClustersPF="1490900" ClustersPFSD="1624380.0" PrcPFClusters="25.5" PrcPFClustersSD="26.81" Phasing="0.267" Prephasing="0.212" CalledCyclesMin="0" CalledCyclesMax="0" PrcAlign="0.00" PrcAlignSD="0.000" ErrRatePhiX="0.00" ErrRatePhiXSD="0.000" ErrRate35="0.00" ErrRate35SD="0.000" ErrRate75="0.00" ErrRate75SD="0.000" ErrRate100="0.00" ErrRate100SD="0.000" FirstCycleIntPF="6221" FirstCycleIntPFSD="675.5" PrcIntensityAfter20CyclesPF="76.9" PrcIntensityAfter20CyclesPFSD="4.87" /><Lane key="7" TileCount="48" ClustersRaw="1854131" ClustersRawSD="429053.2" ClustersPF="1585131" ClustersPFSD="693768.5" PrcPFClusters="85.0" PrcPFClustersSD="30.78" Phasing="0.133" Prephasing="0.241" CalledCyclesMin="0" CalledCyclesMax="0" PrcAlign="0.00" PrcAlignSD="0.000" ErrRatePhiX="0.00" ErrRatePhiXSD="0.000" ErrRate35="0.00" ErrRate35SD="0.000" ErrRate75="0.00" ErrRate75SD="0.000" ErrRate100="0.00" ErrRate100SD="0.000" FirstCycleIntPF="6584" FirstCycleIntPFSD="455.9" PrcIntensityAfter20CyclesPF="109.1" PrcIntensityAfter20CyclesPFSD="4.78" /><Lane key="8" TileCount="48" ClustersRaw="4777517" ClustersRawSD="592904.0" ClustersPF="4113021" ClustersPFSD="439623.7" PrcPFClusters="86.5" PrcPFClustersSD="7.36" Phasing="0.219" Prephasing="0.235" CalledCyclesMin="0" CalledCyclesMax="0" PrcAlign="0.00" PrcAlignSD="0.000" ErrRatePhiX="0.00" ErrRatePhiXSD="0.000" ErrRate35="0.00" ErrRate35SD="0.000" ErrRate75="0.00" ErrRate75SD="0.000" ErrRate100="0.00" ErrRate100SD="0.000" FirstCycleIntPF="6314" FirstCycleIntPFSD="760.7" PrcIntensityAfter20CyclesPF="37.3" PrcIntensityAfter20CyclesPFSD="9.19" /></Summary>
\ No newline at end of file
--- /dev/null
+<?xml version="1.0" encoding="utf-8"?><!--Illumina RTA Data--><Summary Read="2" ReadType=" (Index)" densityRatio="0.173619792"><Lane key="1" TileCount="48" ClustersRaw="3878755" ClustersRawSD="579626.0" ClustersPF="1040253" ClustersPFSD="1059982.5" PrcPFClusters="27.8" PrcPFClustersSD="27.72" Phasing="0.000" Prephasing="0.000" CalledCyclesMin="0" CalledCyclesMax="0" PrcAlign="0.00" PrcAlignSD="0.000" ErrRatePhiX="0.00" ErrRatePhiXSD="0.000" ErrRate35="0.00" ErrRate35SD="0.000" ErrRate75="0.00" ErrRate75SD="0.000" ErrRate100="0.00" ErrRate100SD="0.000" FirstCycleIntPF="991" FirstCycleIntPFSD="2165.9" PrcIntensityAfter20CyclesPF="0.0" PrcIntensityAfter20CyclesPFSD="0.00" /><Lane key="2" TileCount="48" ClustersRaw="3920639" ClustersRawSD="1027332.4" ClustersPF="474380" ClustersPFSD="739312.7" PrcPFClusters="13.4" PrcPFClustersSD="17.58" Phasing="0.000" Prephasing="0.000" CalledCyclesMin="0" CalledCyclesMax="0" PrcAlign="0.00" PrcAlignSD="0.000" ErrRatePhiX="0.00" ErrRatePhiXSD="0.000" ErrRate35="0.00" ErrRate35SD="0.000" ErrRate75="0.00" ErrRate75SD="0.000" ErrRate100="0.00" ErrRate100SD="0.000" FirstCycleIntPF="925" FirstCycleIntPFSD="2096.4" PrcIntensityAfter20CyclesPF="0.0" PrcIntensityAfter20CyclesPFSD="0.00" /><Lane key="3" TileCount="48" ClustersRaw="5713049" ClustersRawSD="876187.3" ClustersPF="376501" ClustersPFSD="895452.3" PrcPFClusters="6.0" PrcPFClustersSD="14.30" Phasing="0.000" Prephasing="0.000" CalledCyclesMin="0" CalledCyclesMax="0" PrcAlign="0.00" PrcAlignSD="0.000" ErrRatePhiX="0.00" ErrRatePhiXSD="0.000" ErrRate35="0.00" ErrRate35SD="0.000" ErrRate75="0.00" ErrRate75SD="0.000" ErrRate100="0.00" ErrRate100SD="0.000" FirstCycleIntPF="1181" FirstCycleIntPFSD="1800.6" PrcIntensityAfter20CyclesPF="0.0" PrcIntensityAfter20CyclesPFSD="0.00" /><Lane key="4" TileCount="48" ClustersRaw="5852907" ClustersRawSD="538640.6" ClustersPF="329831" ClustersPFSD="758370.9" PrcPFClusters="5.4" PrcPFClustersSD="12.52" Phasing="0.000" Prephasing="0.000" CalledCyclesMin="0" CalledCyclesMax="0" PrcAlign="0.00" PrcAlignSD="0.000" ErrRatePhiX="0.00" ErrRatePhiXSD="0.000" ErrRate35="0.00" ErrRate35SD="0.000" ErrRate75="0.00" ErrRate75SD="0.000" ErrRate100="0.00" ErrRate100SD="0.000" FirstCycleIntPF="483" FirstCycleIntPFSD="1007.8" PrcIntensityAfter20CyclesPF="0.0" PrcIntensityAfter20CyclesPFSD="0.00" /><Lane key="5" TileCount="48" ClustersRaw="4006751" ClustersRawSD="1265247.4" ClustersPF="52186" ClustersPFSD="233275.6" PrcPFClusters="0.9" PrcPFClustersSD="4.22" Phasing="0.000" Prephasing="0.000" CalledCyclesMin="0" CalledCyclesMax="0" PrcAlign="0.00" PrcAlignSD="0.000" ErrRatePhiX="0.00" ErrRatePhiXSD="0.000" ErrRate35="0.00" ErrRate35SD="0.000" ErrRate75="0.00" ErrRate75SD="0.000" ErrRate100="0.00" ErrRate100SD="0.000" FirstCycleIntPF="1592" FirstCycleIntPFSD="1930.7" PrcIntensityAfter20CyclesPF="0.0" PrcIntensityAfter20CyclesPFSD="0.00" /><Lane key="6" TileCount="48" ClustersRaw="5678021" ClustersRawSD="627070.7" ClustersPF="1490900" ClustersPFSD="1624380.0" PrcPFClusters="25.5" PrcPFClustersSD="26.81" Phasing="0.000" Prephasing="0.000" CalledCyclesMin="0" CalledCyclesMax="0" PrcAlign="0.00" PrcAlignSD="0.000" ErrRatePhiX="0.00" ErrRatePhiXSD="0.000" ErrRate35="0.00" ErrRate35SD="0.000" ErrRate75="0.00" ErrRate75SD="0.000" ErrRate100="0.00" ErrRate100SD="0.000" FirstCycleIntPF="2308" FirstCycleIntPFSD="2746.0" PrcIntensityAfter20CyclesPF="0.0" PrcIntensityAfter20CyclesPFSD="0.00" /><Lane key="7" TileCount="48" ClustersRaw="1854131" ClustersRawSD="429053.2" ClustersPF="1585131" ClustersPFSD="693768.5" PrcPFClusters="85.0" PrcPFClustersSD="30.78" Phasing="0.000" Prephasing="0.000" CalledCyclesMin="0" CalledCyclesMax="0" PrcAlign="0.00" PrcAlignSD="0.000" ErrRatePhiX="0.00" ErrRatePhiXSD="0.000" ErrRate35="0.00" ErrRate35SD="0.000" ErrRate75="0.00" ErrRate75SD="0.000" ErrRate100="0.00" ErrRate100SD="0.000" FirstCycleIntPF="5761" FirstCycleIntPFSD="3328.6" PrcIntensityAfter20CyclesPF="0.0" PrcIntensityAfter20CyclesPFSD="0.00" /><Lane key="8" TileCount="48" ClustersRaw="4777517" ClustersRawSD="592904.0" ClustersPF="4113021" ClustersPFSD="439623.7" PrcPFClusters="86.5" PrcPFClustersSD="7.36" Phasing="0.000" Prephasing="0.000" CalledCyclesMin="0" CalledCyclesMax="0" PrcAlign="0.00" PrcAlignSD="0.000" ErrRatePhiX="0.00" ErrRatePhiXSD="0.000" ErrRate35="0.00" ErrRate35SD="0.000" ErrRate75="0.00" ErrRate75SD="0.000" ErrRate100="0.00" ErrRate100SD="0.000" FirstCycleIntPF="2791" FirstCycleIntPFSD="3369.4" PrcIntensityAfter20CyclesPF="0.0" PrcIntensityAfter20CyclesPFSD="0.00" /></Summary>
\ No newline at end of file
--- /dev/null
+<?xml version="1.0" encoding="utf-8"?>\r
+<BaseCallAnalysis xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema">\r
+ <Run Name="BaseCalls">\r
+ <BaseCallParameters>\r
+ <ChastityThreshold>0.6</ChastityThreshold>\r
+ <Matrix Path="">\r
+ <AutoFlag>2</AutoFlag>\r
+ <AutoLane>0</AutoLane>\r
+ <Cycle>1</Cycle>\r
+ <CycleOffset>0</CycleOffset>\r
+ <FirstCycle>1</FirstCycle>\r
+ <LastCycle>50</LastCycle>\r
+ <Read>1</Read>\r
+ </Matrix>\r
+ <Matrix Path="">\r
+ <AutoFlag>2</AutoFlag>\r
+ <AutoLane>0</AutoLane>\r
+ <Cycle>51</Cycle>\r
+ <CycleOffset>0</CycleOffset>\r
+ <FirstCycle>51</FirstCycle>\r
+ <LastCycle>57</LastCycle>\r
+ <Read>2</Read>\r
+ </Matrix>\r
+ <Phasing Path="">\r
+ <AutoFlag>2</AutoFlag>\r
+ <AutoLane>0</AutoLane>\r
+ <Cycle>2</Cycle>\r
+ <CycleOffset>1</CycleOffset>\r
+ <FirstCycle>1</FirstCycle>\r
+ <LastCycle>50</LastCycle>\r
+ <Read>1</Read>\r
+ <PhasingRate>0</PhasingRate>\r
+ <PrephasingRate>0</PrephasingRate>\r
+ </Phasing>\r
+ <Phasing Path="">\r
+ <AutoFlag>2</AutoFlag>\r
+ <AutoLane>0</AutoLane>\r
+ <Cycle>52</Cycle>\r
+ <CycleOffset>1</CycleOffset>\r
+ <FirstCycle>51</FirstCycle>\r
+ <LastCycle>57</LastCycle>\r
+ <Read>2</Read>\r
+ <PhasingRate>0</PhasingRate>\r
+ <PrephasingRate>0</PrephasingRate>\r
+ </Phasing>\r
+ <PureBases>0</PureBases>\r
+ <SmtFilter>failed-chastity</SmtFilter>\r
+ <SmtRelation>le</SmtRelation>\r
+ <SmtThreshold>1.0</SmtThreshold>\r
+ </BaseCallParameters>\r
+ <Cycles First="1" Last="57" Number="57" />\r
+ <Input />\r
+ <RunParameters>\r
+ <AutoCycleFlag>0</AutoCycleFlag>\r
+ <BasecallFlag>0</BasecallFlag>\r
+ <Deblocked>0</Deblocked>\r
+ <DebugFlag>0</DebugFlag>\r
+ <FirstRunOnlyFlag>0</FirstRunOnlyFlag>\r
+ <ImagingReads Index="1">\r
+ <FirstCycle>1</FirstCycle>\r
+ <LastCycle>50</LastCycle>\r
+ </ImagingReads>\r
+ <ImagingReads Index="2">\r
+ <FirstCycle>51</FirstCycle>\r
+ <LastCycle>57</LastCycle>\r
+ <RunFolder>110815_SN787_0101_AD07K6ACXX</RunFolder>\r
+ </ImagingReads>\r
+ <Instrument>HWI-ST0787</Instrument>\r
+ <IterativeMatrixFlag>0</IterativeMatrixFlag>\r
+ <MakeFlag>0</MakeFlag>\r
+ <MaxCycle>0</MaxCycle>\r
+ <MinCycle>0</MinCycle>\r
+ <Reads Index="1">\r
+ <FirstCycle>1</FirstCycle>\r
+ <LastCycle>50</LastCycle>\r
+ </Reads>\r
+ <Reads Index="2">\r
+ <FirstCycle>51</FirstCycle>\r
+ <LastCycle>57</LastCycle>\r
+ <RunFolder>110815_SN787_0101_AD07K6ACXX</RunFolder>\r
+ </Reads>\r
+ <RunFolder>110815_SN787_0101_AD07K6ACXX</RunFolder>\r
+ <RunFolderDate>110815</RunFolderDate>\r
+ <RunFolderId>0101</RunFolderId>\r
+ <RunFlowcellId>D07K6ACXX</RunFlowcellId>\r
+ <Barcode>\r
+ <Cycle Use="true">51</Cycle>\r
+ <Cycle Use="true">52</Cycle>\r
+ <Cycle Use="true">53</Cycle>\r
+ <Cycle Use="true">54</Cycle>\r
+ <Cycle Use="true">55</Cycle>\r
+ <Cycle Use="true">56</Cycle>\r
+ <Cycle Use="true">57</Cycle>\r
+ </Barcode>\r
+ <QTableVersion>New6</QTableVersion>\r
+ </RunParameters>\r
+ <Software Name="RTA" Version="1.12.4.2" />\r
+ <TileSelection>\r
+ <Lane Index="1">\r
+ <Sample>s</Sample>\r
+ <Tile>1102</Tile>\r
+ <Tile>1101</Tile>\r
+ <Tile>1103</Tile>\r
+ <Tile>1106</Tile>\r
+ <Tile>1104</Tile>\r
+ <Tile>1105</Tile>\r
+ <Tile>1108</Tile>\r
+ <Tile>1107</Tile>\r
+ <Tile>1202</Tile>\r
+ <Tile>1201</Tile>\r
+ <Tile>1206</Tile>\r
+ <Tile>1204</Tile>\r
+ <Tile>1203</Tile>\r
+ <Tile>1205</Tile>\r
+ <Tile>1302</Tile>\r
+ <Tile>1208</Tile>\r
+ <Tile>1207</Tile>\r
+ <Tile>1301</Tile>\r
+ <Tile>1306</Tile>\r
+ <Tile>1304</Tile>\r
+ <Tile>1305</Tile>\r
+ <Tile>2102</Tile>\r
+ <Tile>1303</Tile>\r
+ <Tile>1308</Tile>\r
+ <Tile>2101</Tile>\r
+ <Tile>1307</Tile>\r
+ <Tile>2106</Tile>\r
+ <Tile>2104</Tile>\r
+ <Tile>2105</Tile>\r
+ <Tile>2103</Tile>\r
+ <Tile>2202</Tile>\r
+ <Tile>2108</Tile>\r
+ <Tile>2201</Tile>\r
+ <Tile>2206</Tile>\r
+ <Tile>2107</Tile>\r
+ <Tile>2205</Tile>\r
+ <Tile>2204</Tile>\r
+ <Tile>2203</Tile>\r
+ <Tile>2302</Tile>\r
+ <Tile>2301</Tile>\r
+ <Tile>2208</Tile>\r
+ <Tile>2306</Tile>\r
+ <Tile>2207</Tile>\r
+ <Tile>2305</Tile>\r
+ <Tile>2303</Tile>\r
+ <Tile>2304</Tile>\r
+ <Tile>2308</Tile>\r
+ <Tile>2307</Tile>\r
+ </Lane>\r
+ <Lane Index="2">\r
+ <Sample>s</Sample>\r
+ <Tile>1101</Tile>\r
+ <Tile>1102</Tile>\r
+ <Tile>1105</Tile>\r
+ <Tile>1106</Tile>\r
+ <Tile>1104</Tile>\r
+ <Tile>1103</Tile>\r
+ <Tile>1201</Tile>\r
+ <Tile>1202</Tile>\r
+ <Tile>1108</Tile>\r
+ <Tile>1206</Tile>\r
+ <Tile>1107</Tile>\r
+ <Tile>1205</Tile>\r
+ <Tile>1302</Tile>\r
+ <Tile>1204</Tile>\r
+ <Tile>1301</Tile>\r
+ <Tile>1203</Tile>\r
+ <Tile>1208</Tile>\r
+ <Tile>1306</Tile>\r
+ <Tile>1305</Tile>\r
+ <Tile>1207</Tile>\r
+ <Tile>1304</Tile>\r
+ <Tile>2101</Tile>\r
+ <Tile>2102</Tile>\r
+ <Tile>1308</Tile>\r
+ <Tile>2105</Tile>\r
+ <Tile>1303</Tile>\r
+ <Tile>2201</Tile>\r
+ <Tile>2106</Tile>\r
+ <Tile>2104</Tile>\r
+ <Tile>1307</Tile>\r
+ <Tile>2205</Tile>\r
+ <Tile>2202</Tile>\r
+ <Tile>2108</Tile>\r
+ <Tile>2206</Tile>\r
+ <Tile>2103</Tile>\r
+ <Tile>2301</Tile>\r
+ <Tile>2204</Tile>\r
+ <Tile>2208</Tile>\r
+ <Tile>2107</Tile>\r
+ <Tile>2302</Tile>\r
+ <Tile>2305</Tile>\r
+ <Tile>2304</Tile>\r
+ <Tile>2203</Tile>\r
+ <Tile>2306</Tile>\r
+ <Tile>2308</Tile>\r
+ <Tile>2207</Tile>\r
+ <Tile>2303</Tile>\r
+ <Tile>2307</Tile>\r
+ </Lane>\r
+ <Lane Index="3">\r
+ <Sample>s</Sample>\r
+ <Tile>1101</Tile>\r
+ <Tile>1102</Tile>\r
+ <Tile>1105</Tile>\r
+ <Tile>1104</Tile>\r
+ <Tile>1108</Tile>\r
+ <Tile>1106</Tile>\r
+ <Tile>1201</Tile>\r
+ <Tile>1103</Tile>\r
+ <Tile>1204</Tile>\r
+ <Tile>1202</Tile>\r
+ <Tile>1205</Tile>\r
+ <Tile>1107</Tile>\r
+ <Tile>1208</Tile>\r
+ <Tile>1206</Tile>\r
+ <Tile>1301</Tile>\r
+ <Tile>1304</Tile>\r
+ <Tile>1203</Tile>\r
+ <Tile>1302</Tile>\r
+ <Tile>1308</Tile>\r
+ <Tile>1305</Tile>\r
+ <Tile>1207</Tile>\r
+ <Tile>2101</Tile>\r
+ <Tile>2104</Tile>\r
+ <Tile>1306</Tile>\r
+ <Tile>1303</Tile>\r
+ <Tile>2102</Tile>\r
+ <Tile>2105</Tile>\r
+ <Tile>2108</Tile>\r
+ <Tile>1307</Tile>\r
+ <Tile>2106</Tile>\r
+ <Tile>2204</Tile>\r
+ <Tile>2201</Tile>\r
+ <Tile>2103</Tile>\r
+ <Tile>2208</Tile>\r
+ <Tile>2202</Tile>\r
+ <Tile>2107</Tile>\r
+ <Tile>2205</Tile>\r
+ <Tile>2301</Tile>\r
+ <Tile>2304</Tile>\r
+ <Tile>2203</Tile>\r
+ <Tile>2206</Tile>\r
+ <Tile>2207</Tile>\r
+ <Tile>2305</Tile>\r
+ <Tile>2308</Tile>\r
+ <Tile>2302</Tile>\r
+ <Tile>2303</Tile>\r
+ <Tile>2307</Tile>\r
+ <Tile>2306</Tile>\r
+ </Lane>\r
+ <Lane Index="4">\r
+ <Sample>s</Sample>\r
+ <Tile>1101</Tile>\r
+ <Tile>1104</Tile>\r
+ <Tile>1103</Tile>\r
+ <Tile>1102</Tile>\r
+ <Tile>1108</Tile>\r
+ <Tile>1105</Tile>\r
+ <Tile>1107</Tile>\r
+ <Tile>1106</Tile>\r
+ <Tile>1204</Tile>\r
+ <Tile>1201</Tile>\r
+ <Tile>1203</Tile>\r
+ <Tile>1202</Tile>\r
+ <Tile>1208</Tile>\r
+ <Tile>1205</Tile>\r
+ <Tile>1207</Tile>\r
+ <Tile>1206</Tile>\r
+ <Tile>1304</Tile>\r
+ <Tile>1301</Tile>\r
+ <Tile>1302</Tile>\r
+ <Tile>1308</Tile>\r
+ <Tile>1303</Tile>\r
+ <Tile>1305</Tile>\r
+ <Tile>1306</Tile>\r
+ <Tile>1307</Tile>\r
+ <Tile>2104</Tile>\r
+ <Tile>2101</Tile>\r
+ <Tile>2108</Tile>\r
+ <Tile>2102</Tile>\r
+ <Tile>2103</Tile>\r
+ <Tile>2105</Tile>\r
+ <Tile>2204</Tile>\r
+ <Tile>2106</Tile>\r
+ <Tile>2107</Tile>\r
+ <Tile>2201</Tile>\r
+ <Tile>2208</Tile>\r
+ <Tile>2202</Tile>\r
+ <Tile>2203</Tile>\r
+ <Tile>2304</Tile>\r
+ <Tile>2205</Tile>\r
+ <Tile>2206</Tile>\r
+ <Tile>2207</Tile>\r
+ <Tile>2308</Tile>\r
+ <Tile>2301</Tile>\r
+ <Tile>2302</Tile>\r
+ <Tile>2303</Tile>\r
+ <Tile>2305</Tile>\r
+ <Tile>2307</Tile>\r
+ <Tile>2306</Tile>\r
+ </Lane>\r
+ <Lane Index="5">\r
+ <Sample>s</Sample>\r
+ <Tile>1104</Tile>\r
+ <Tile>1108</Tile>\r
+ <Tile>1101</Tile>\r
+ <Tile>1204</Tile>\r
+ <Tile>1102</Tile>\r
+ <Tile>1103</Tile>\r
+ <Tile>1106</Tile>\r
+ <Tile>1105</Tile>\r
+ <Tile>1107</Tile>\r
+ <Tile>1208</Tile>\r
+ <Tile>1201</Tile>\r
+ <Tile>1202</Tile>\r
+ <Tile>1203</Tile>\r
+ <Tile>1304</Tile>\r
+ <Tile>1205</Tile>\r
+ <Tile>1206</Tile>\r
+ <Tile>1301</Tile>\r
+ <Tile>1308</Tile>\r
+ <Tile>1207</Tile>\r
+ <Tile>1302</Tile>\r
+ <Tile>2104</Tile>\r
+ <Tile>1303</Tile>\r
+ <Tile>1305</Tile>\r
+ <Tile>1306</Tile>\r
+ <Tile>2101</Tile>\r
+ <Tile>2102</Tile>\r
+ <Tile>1307</Tile>\r
+ <Tile>2108</Tile>\r
+ <Tile>2204</Tile>\r
+ <Tile>2103</Tile>\r
+ <Tile>2105</Tile>\r
+ <Tile>2107</Tile>\r
+ <Tile>2106</Tile>\r
+ <Tile>2201</Tile>\r
+ <Tile>2208</Tile>\r
+ <Tile>2203</Tile>\r
+ <Tile>2202</Tile>\r
+ <Tile>2304</Tile>\r
+ <Tile>2206</Tile>\r
+ <Tile>2205</Tile>\r
+ <Tile>2207</Tile>\r
+ <Tile>2302</Tile>\r
+ <Tile>2301</Tile>\r
+ <Tile>2303</Tile>\r
+ <Tile>2308</Tile>\r
+ <Tile>2305</Tile>\r
+ <Tile>2307</Tile>\r
+ <Tile>2306</Tile>\r
+ </Lane>\r
+ <Lane Index="6">\r
+ <Sample>s</Sample>\r
+ <Tile>1104</Tile>\r
+ <Tile>1101</Tile>\r
+ <Tile>1103</Tile>\r
+ <Tile>1102</Tile>\r
+ <Tile>1108</Tile>\r
+ <Tile>1107</Tile>\r
+ <Tile>1105</Tile>\r
+ <Tile>1106</Tile>\r
+ <Tile>1204</Tile>\r
+ <Tile>1203</Tile>\r
+ <Tile>1201</Tile>\r
+ <Tile>1202</Tile>\r
+ <Tile>1208</Tile>\r
+ <Tile>1207</Tile>\r
+ <Tile>1205</Tile>\r
+ <Tile>1206</Tile>\r
+ <Tile>1304</Tile>\r
+ <Tile>1303</Tile>\r
+ <Tile>1301</Tile>\r
+ <Tile>1302</Tile>\r
+ <Tile>1308</Tile>\r
+ <Tile>1307</Tile>\r
+ <Tile>1305</Tile>\r
+ <Tile>2104</Tile>\r
+ <Tile>1306</Tile>\r
+ <Tile>2103</Tile>\r
+ <Tile>2101</Tile>\r
+ <Tile>2102</Tile>\r
+ <Tile>2108</Tile>\r
+ <Tile>2107</Tile>\r
+ <Tile>2105</Tile>\r
+ <Tile>2106</Tile>\r
+ <Tile>2204</Tile>\r
+ <Tile>2203</Tile>\r
+ <Tile>2202</Tile>\r
+ <Tile>2201</Tile>\r
+ <Tile>2208</Tile>\r
+ <Tile>2207</Tile>\r
+ <Tile>2206</Tile>\r
+ <Tile>2205</Tile>\r
+ <Tile>2304</Tile>\r
+ <Tile>2303</Tile>\r
+ <Tile>2302</Tile>\r
+ <Tile>2301</Tile>\r
+ <Tile>2307</Tile>\r
+ <Tile>2308</Tile>\r
+ <Tile>2306</Tile>\r
+ <Tile>2305</Tile>\r
+ </Lane>\r
+ <Lane Index="7">\r
+ <Sample>s</Sample>\r
+ <Tile>1103</Tile>\r
+ <Tile>1107</Tile>\r
+ <Tile>1104</Tile>\r
+ <Tile>1108</Tile>\r
+ <Tile>1203</Tile>\r
+ <Tile>1101</Tile>\r
+ <Tile>1102</Tile>\r
+ <Tile>1204</Tile>\r
+ <Tile>1105</Tile>\r
+ <Tile>1207</Tile>\r
+ <Tile>1106</Tile>\r
+ <Tile>1208</Tile>\r
+ <Tile>1201</Tile>\r
+ <Tile>1202</Tile>\r
+ <Tile>1303</Tile>\r
+ <Tile>1205</Tile>\r
+ <Tile>1206</Tile>\r
+ <Tile>1307</Tile>\r
+ <Tile>1304</Tile>\r
+ <Tile>1301</Tile>\r
+ <Tile>1302</Tile>\r
+ <Tile>1305</Tile>\r
+ <Tile>1308</Tile>\r
+ <Tile>2103</Tile>\r
+ <Tile>1306</Tile>\r
+ <Tile>2101</Tile>\r
+ <Tile>2107</Tile>\r
+ <Tile>2104</Tile>\r
+ <Tile>2105</Tile>\r
+ <Tile>2102</Tile>\r
+ <Tile>2108</Tile>\r
+ <Tile>2203</Tile>\r
+ <Tile>2201</Tile>\r
+ <Tile>2106</Tile>\r
+ <Tile>2205</Tile>\r
+ <Tile>2207</Tile>\r
+ <Tile>2202</Tile>\r
+ <Tile>2204</Tile>\r
+ <Tile>2301</Tile>\r
+ <Tile>2303</Tile>\r
+ <Tile>2206</Tile>\r
+ <Tile>2208</Tile>\r
+ <Tile>2305</Tile>\r
+ <Tile>2307</Tile>\r
+ <Tile>2302</Tile>\r
+ <Tile>2304</Tile>\r
+ <Tile>2306</Tile>\r
+ <Tile>2308</Tile>\r
+ </Lane>\r
+ <Lane Index="8">\r
+ <Sample>s</Sample>\r
+ <Tile>1101</Tile>\r
+ <Tile>1103</Tile>\r
+ <Tile>1102</Tile>\r
+ <Tile>1105</Tile>\r
+ <Tile>1107</Tile>\r
+ <Tile>1104</Tile>\r
+ <Tile>1106</Tile>\r
+ <Tile>1201</Tile>\r
+ <Tile>1108</Tile>\r
+ <Tile>1203</Tile>\r
+ <Tile>1202</Tile>\r
+ <Tile>1205</Tile>\r
+ <Tile>1207</Tile>\r
+ <Tile>1204</Tile>\r
+ <Tile>1206</Tile>\r
+ <Tile>1301</Tile>\r
+ <Tile>1208</Tile>\r
+ <Tile>1303</Tile>\r
+ <Tile>1302</Tile>\r
+ <Tile>1305</Tile>\r
+ <Tile>1307</Tile>\r
+ <Tile>1304</Tile>\r
+ <Tile>1306</Tile>\r
+ <Tile>2101</Tile>\r
+ <Tile>1308</Tile>\r
+ <Tile>2103</Tile>\r
+ <Tile>2105</Tile>\r
+ <Tile>2102</Tile>\r
+ <Tile>2107</Tile>\r
+ <Tile>2106</Tile>\r
+ <Tile>2104</Tile>\r
+ <Tile>2201</Tile>\r
+ <Tile>2205</Tile>\r
+ <Tile>2202</Tile>\r
+ <Tile>2203</Tile>\r
+ <Tile>2108</Tile>\r
+ <Tile>2206</Tile>\r
+ <Tile>2301</Tile>\r
+ <Tile>2207</Tile>\r
+ <Tile>2204</Tile>\r
+ <Tile>2305</Tile>\r
+ <Tile>2302</Tile>\r
+ <Tile>2303</Tile>\r
+ <Tile>2208</Tile>\r
+ <Tile>2306</Tile>\r
+ <Tile>2307</Tile>\r
+ <Tile>2304</Tile>\r
+ <Tile>2308</Tile>\r
+ </Lane>\r
+ </TileSelection>\r
+ <Time />\r
+ <User />\r
+ </Run>\r
+</BaseCallAnalysis>
\ No newline at end of file
--- /dev/null
+<?xml version="1.0" encoding="utf-8"?>\r
+<ImageAnalysis xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema">\r
+ <Run Name="Intensities">\r
+ <Cycles First="1" Last="57" Number="57" />\r
+ <ImageParameters>\r
+ <AutoOffsetFlag>0</AutoOffsetFlag>\r
+ <AutoSizeFlag>0</AutoSizeFlag>\r
+ <Fwhm>0</Fwhm>\r
+ <RemappingDistance>0</RemappingDistance>\r
+ <Threshold>0</Threshold>\r
+ </ImageParameters>\r
+ <RunParameters>\r
+ <AutoCycleFlag>0</AutoCycleFlag>\r
+ <BasecallFlag>0</BasecallFlag>\r
+ <Deblocked>0</Deblocked>\r
+ <DebugFlag>0</DebugFlag>\r
+ <FirstRunOnlyFlag>0</FirstRunOnlyFlag>\r
+ <ImagingReads Index="1">\r
+ <FirstCycle>1</FirstCycle>\r
+ <LastCycle>50</LastCycle>\r
+ <RunFolder>110815_SN787_0101_AD07K6ACXX</RunFolder>\r
+ </ImagingReads>\r
+ <ImagingReads Index="2">\r
+ <FirstCycle>51</FirstCycle>\r
+ <LastCycle>57</LastCycle>\r
+ <RunFolder>110815_SN787_0101_AD07K6ACXX</RunFolder>\r
+ </ImagingReads>\r
+ <Instrument>HWI-ST0787</Instrument>\r
+ <IterativeMatrixFlag>0</IterativeMatrixFlag>\r
+ <MakeFlag>0</MakeFlag>\r
+ <MaxCycle>0</MaxCycle>\r
+ <MinCycle>0</MinCycle>\r
+ <Reads Index="1">\r
+ <FirstCycle>1</FirstCycle>\r
+ <LastCycle>50</LastCycle>\r
+ <RunFolder>110815_SN787_0101_AD07K6ACXX</RunFolder>\r
+ </Reads>\r
+ <Reads Index="2">\r
+ <FirstCycle>51</FirstCycle>\r
+ <LastCycle>57</LastCycle>\r
+ <RunFolder>110815_SN787_0101_AD07K6ACXX</RunFolder>\r
+ </Reads>\r
+ <RunFolder>110815_SN787_0101_AD07K6ACXX</RunFolder>\r
+ <RunFolderDate>110815</RunFolderDate>\r
+ <RunFolderId>0101</RunFolderId>\r
+ <RunFlowcellId>D07K6ACXX</RunFlowcellId>\r
+ <Barcode>\r
+ <Cycle Use="true">51</Cycle>\r
+ <Cycle Use="true">52</Cycle>\r
+ <Cycle Use="true">53</Cycle>\r
+ <Cycle Use="true">54</Cycle>\r
+ <Cycle Use="true">55</Cycle>\r
+ <Cycle Use="true">56</Cycle>\r
+ <Cycle Use="true">57</Cycle>\r
+ </Barcode>\r
+ <QTableVersion>New6</QTableVersion>\r
+ </RunParameters>\r
+ <Software Name="RTA" Version="1.12.4.2" />\r
+ <TileSelection>\r
+ <Lane Index="1">\r
+ <Sample>s</Sample>\r
+ <Tile>1101</Tile>\r
+ <Tile>1102</Tile>\r
+ <Tile>1104</Tile>\r
+ <Tile>1103</Tile>\r
+ <Tile>1106</Tile>\r
+ <Tile>1105</Tile>\r
+ <Tile>1108</Tile>\r
+ <Tile>1107</Tile>\r
+ <Tile>1201</Tile>\r
+ <Tile>1204</Tile>\r
+ <Tile>1202</Tile>\r
+ <Tile>1205</Tile>\r
+ <Tile>1206</Tile>\r
+ <Tile>1208</Tile>\r
+ <Tile>1301</Tile>\r
+ <Tile>1302</Tile>\r
+ <Tile>1304</Tile>\r
+ <Tile>1203</Tile>\r
+ <Tile>1305</Tile>\r
+ <Tile>1306</Tile>\r
+ <Tile>1308</Tile>\r
+ <Tile>2102</Tile>\r
+ <Tile>2101</Tile>\r
+ <Tile>1207</Tile>\r
+ <Tile>2105</Tile>\r
+ <Tile>2106</Tile>\r
+ <Tile>2104</Tile>\r
+ <Tile>1303</Tile>\r
+ <Tile>2201</Tile>\r
+ <Tile>2202</Tile>\r
+ <Tile>1307</Tile>\r
+ <Tile>2206</Tile>\r
+ <Tile>2205</Tile>\r
+ <Tile>2108</Tile>\r
+ <Tile>2302</Tile>\r
+ <Tile>2103</Tile>\r
+ <Tile>2301</Tile>\r
+ <Tile>2204</Tile>\r
+ <Tile>2305</Tile>\r
+ <Tile>2107</Tile>\r
+ <Tile>2203</Tile>\r
+ <Tile>2208</Tile>\r
+ <Tile>2306</Tile>\r
+ <Tile>2207</Tile>\r
+ <Tile>2304</Tile>\r
+ <Tile>2303</Tile>\r
+ <Tile>2308</Tile>\r
+ <Tile>2307</Tile>\r
+ </Lane>\r
+ <Lane Index="2">\r
+ <Sample>s</Sample>\r
+ <Tile>1101</Tile>\r
+ <Tile>1105</Tile>\r
+ <Tile>1102</Tile>\r
+ <Tile>1106</Tile>\r
+ <Tile>1201</Tile>\r
+ <Tile>1103</Tile>\r
+ <Tile>1104</Tile>\r
+ <Tile>1202</Tile>\r
+ <Tile>1205</Tile>\r
+ <Tile>1107</Tile>\r
+ <Tile>1206</Tile>\r
+ <Tile>1108</Tile>\r
+ <Tile>1203</Tile>\r
+ <Tile>1302</Tile>\r
+ <Tile>1204</Tile>\r
+ <Tile>1301</Tile>\r
+ <Tile>1208</Tile>\r
+ <Tile>1207</Tile>\r
+ <Tile>1305</Tile>\r
+ <Tile>1306</Tile>\r
+ <Tile>1304</Tile>\r
+ <Tile>2101</Tile>\r
+ <Tile>1303</Tile>\r
+ <Tile>2102</Tile>\r
+ <Tile>1308</Tile>\r
+ <Tile>2105</Tile>\r
+ <Tile>1307</Tile>\r
+ <Tile>2106</Tile>\r
+ <Tile>2201</Tile>\r
+ <Tile>2104</Tile>\r
+ <Tile>2103</Tile>\r
+ <Tile>2202</Tile>\r
+ <Tile>2205</Tile>\r
+ <Tile>2107</Tile>\r
+ <Tile>2108</Tile>\r
+ <Tile>2206</Tile>\r
+ <Tile>2301</Tile>\r
+ <Tile>2203</Tile>\r
+ <Tile>2204</Tile>\r
+ <Tile>2208</Tile>\r
+ <Tile>2207</Tile>\r
+ <Tile>2302</Tile>\r
+ <Tile>2305</Tile>\r
+ <Tile>2303</Tile>\r
+ <Tile>2304</Tile>\r
+ <Tile>2306</Tile>\r
+ <Tile>2307</Tile>\r
+ <Tile>2308</Tile>\r
+ </Lane>\r
+ <Lane Index="3">\r
+ <Sample>s</Sample>\r
+ <Tile>1101</Tile>\r
+ <Tile>1103</Tile>\r
+ <Tile>1102</Tile>\r
+ <Tile>1104</Tile>\r
+ <Tile>1105</Tile>\r
+ <Tile>1106</Tile>\r
+ <Tile>1107</Tile>\r
+ <Tile>1108</Tile>\r
+ <Tile>1201</Tile>\r
+ <Tile>1204</Tile>\r
+ <Tile>1202</Tile>\r
+ <Tile>1203</Tile>\r
+ <Tile>1205</Tile>\r
+ <Tile>1206</Tile>\r
+ <Tile>1207</Tile>\r
+ <Tile>1208</Tile>\r
+ <Tile>1302</Tile>\r
+ <Tile>1301</Tile>\r
+ <Tile>1303</Tile>\r
+ <Tile>1304</Tile>\r
+ <Tile>1306</Tile>\r
+ <Tile>1305</Tile>\r
+ <Tile>1308</Tile>\r
+ <Tile>2101</Tile>\r
+ <Tile>2102</Tile>\r
+ <Tile>2105</Tile>\r
+ <Tile>1307</Tile>\r
+ <Tile>2104</Tile>\r
+ <Tile>2106</Tile>\r
+ <Tile>2201</Tile>\r
+ <Tile>2108</Tile>\r
+ <Tile>2103</Tile>\r
+ <Tile>2107</Tile>\r
+ <Tile>2202</Tile>\r
+ <Tile>2205</Tile>\r
+ <Tile>2204</Tile>\r
+ <Tile>2301</Tile>\r
+ <Tile>2206</Tile>\r
+ <Tile>2305</Tile>\r
+ <Tile>2203</Tile>\r
+ <Tile>2208</Tile>\r
+ <Tile>2302</Tile>\r
+ <Tile>2207</Tile>\r
+ <Tile>2304</Tile>\r
+ <Tile>2306</Tile>\r
+ <Tile>2303</Tile>\r
+ <Tile>2308</Tile>\r
+ <Tile>2307</Tile>\r
+ </Lane>\r
+ <Lane Index="4">\r
+ <Sample>s</Sample>\r
+ <Tile>1101</Tile>\r
+ <Tile>1105</Tile>\r
+ <Tile>1201</Tile>\r
+ <Tile>1102</Tile>\r
+ <Tile>1106</Tile>\r
+ <Tile>1205</Tile>\r
+ <Tile>1104</Tile>\r
+ <Tile>1202</Tile>\r
+ <Tile>1103</Tile>\r
+ <Tile>1301</Tile>\r
+ <Tile>1206</Tile>\r
+ <Tile>1108</Tile>\r
+ <Tile>1107</Tile>\r
+ <Tile>1305</Tile>\r
+ <Tile>1302</Tile>\r
+ <Tile>2101</Tile>\r
+ <Tile>1203</Tile>\r
+ <Tile>1306</Tile>\r
+ <Tile>1204</Tile>\r
+ <Tile>1207</Tile>\r
+ <Tile>2102</Tile>\r
+ <Tile>1208</Tile>\r
+ <Tile>2105</Tile>\r
+ <Tile>1303</Tile>\r
+ <Tile>2106</Tile>\r
+ <Tile>1304</Tile>\r
+ <Tile>2201</Tile>\r
+ <Tile>1307</Tile>\r
+ <Tile>1308</Tile>\r
+ <Tile>2202</Tile>\r
+ <Tile>2103</Tile>\r
+ <Tile>2104</Tile>\r
+ <Tile>2205</Tile>\r
+ <Tile>2206</Tile>\r
+ <Tile>2302</Tile>\r
+ <Tile>2108</Tile>\r
+ <Tile>2301</Tile>\r
+ <Tile>2107</Tile>\r
+ <Tile>2305</Tile>\r
+ <Tile>2306</Tile>\r
+ <Tile>2204</Tile>\r
+ <Tile>2203</Tile>\r
+ <Tile>2208</Tile>\r
+ <Tile>2207</Tile>\r
+ <Tile>2303</Tile>\r
+ <Tile>2304</Tile>\r
+ <Tile>2308</Tile>\r
+ <Tile>2307</Tile>\r
+ </Lane>\r
+ <Lane Index="5">\r
+ <Sample>s</Sample>\r
+ <Tile>1102</Tile>\r
+ <Tile>1101</Tile>\r
+ <Tile>1106</Tile>\r
+ <Tile>1105</Tile>\r
+ <Tile>1202</Tile>\r
+ <Tile>1201</Tile>\r
+ <Tile>1205</Tile>\r
+ <Tile>1206</Tile>\r
+ <Tile>1301</Tile>\r
+ <Tile>1104</Tile>\r
+ <Tile>1302</Tile>\r
+ <Tile>1103</Tile>\r
+ <Tile>1108</Tile>\r
+ <Tile>1305</Tile>\r
+ <Tile>1306</Tile>\r
+ <Tile>1107</Tile>\r
+ <Tile>2102</Tile>\r
+ <Tile>1203</Tile>\r
+ <Tile>1204</Tile>\r
+ <Tile>2101</Tile>\r
+ <Tile>2106</Tile>\r
+ <Tile>1207</Tile>\r
+ <Tile>2202</Tile>\r
+ <Tile>1303</Tile>\r
+ <Tile>1208</Tile>\r
+ <Tile>2105</Tile>\r
+ <Tile>2201</Tile>\r
+ <Tile>1304</Tile>\r
+ <Tile>1307</Tile>\r
+ <Tile>2206</Tile>\r
+ <Tile>2103</Tile>\r
+ <Tile>2205</Tile>\r
+ <Tile>2302</Tile>\r
+ <Tile>2107</Tile>\r
+ <Tile>1308</Tile>\r
+ <Tile>2301</Tile>\r
+ <Tile>2203</Tile>\r
+ <Tile>2104</Tile>\r
+ <Tile>2305</Tile>\r
+ <Tile>2207</Tile>\r
+ <Tile>2108</Tile>\r
+ <Tile>2306</Tile>\r
+ <Tile>2303</Tile>\r
+ <Tile>2204</Tile>\r
+ <Tile>2307</Tile>\r
+ <Tile>2208</Tile>\r
+ <Tile>2304</Tile>\r
+ <Tile>2308</Tile>\r
+ </Lane>\r
+ <Lane Index="6">\r
+ <Sample>s</Sample>\r
+ <Tile>1101</Tile>\r
+ <Tile>1102</Tile>\r
+ <Tile>1103</Tile>\r
+ <Tile>1106</Tile>\r
+ <Tile>1105</Tile>\r
+ <Tile>1107</Tile>\r
+ <Tile>1202</Tile>\r
+ <Tile>1201</Tile>\r
+ <Tile>1203</Tile>\r
+ <Tile>1207</Tile>\r
+ <Tile>1205</Tile>\r
+ <Tile>1206</Tile>\r
+ <Tile>1301</Tile>\r
+ <Tile>1303</Tile>\r
+ <Tile>1302</Tile>\r
+ <Tile>1104</Tile>\r
+ <Tile>1305</Tile>\r
+ <Tile>1306</Tile>\r
+ <Tile>2101</Tile>\r
+ <Tile>1108</Tile>\r
+ <Tile>2102</Tile>\r
+ <Tile>1307</Tile>\r
+ <Tile>2103</Tile>\r
+ <Tile>2105</Tile>\r
+ <Tile>1204</Tile>\r
+ <Tile>2106</Tile>\r
+ <Tile>2107</Tile>\r
+ <Tile>2201</Tile>\r
+ <Tile>2202</Tile>\r
+ <Tile>1208</Tile>\r
+ <Tile>2203</Tile>\r
+ <Tile>2206</Tile>\r
+ <Tile>2205</Tile>\r
+ <Tile>1304</Tile>\r
+ <Tile>2302</Tile>\r
+ <Tile>2207</Tile>\r
+ <Tile>2301</Tile>\r
+ <Tile>1308</Tile>\r
+ <Tile>2306</Tile>\r
+ <Tile>2303</Tile>\r
+ <Tile>2305</Tile>\r
+ <Tile>2307</Tile>\r
+ <Tile>2104</Tile>\r
+ <Tile>2108</Tile>\r
+ <Tile>2204</Tile>\r
+ <Tile>2208</Tile>\r
+ <Tile>2304</Tile>\r
+ <Tile>2308</Tile>\r
+ </Lane>\r
+ <Lane Index="7">\r
+ <Sample>s</Sample>\r
+ <Tile>1102</Tile>\r
+ <Tile>1106</Tile>\r
+ <Tile>1101</Tile>\r
+ <Tile>1105</Tile>\r
+ <Tile>1202</Tile>\r
+ <Tile>1201</Tile>\r
+ <Tile>1206</Tile>\r
+ <Tile>1205</Tile>\r
+ <Tile>1103</Tile>\r
+ <Tile>1302</Tile>\r
+ <Tile>1301</Tile>\r
+ <Tile>1107</Tile>\r
+ <Tile>1306</Tile>\r
+ <Tile>1305</Tile>\r
+ <Tile>1203</Tile>\r
+ <Tile>2101</Tile>\r
+ <Tile>2102</Tile>\r
+ <Tile>2105</Tile>\r
+ <Tile>1207</Tile>\r
+ <Tile>2106</Tile>\r
+ <Tile>2201</Tile>\r
+ <Tile>2202</Tile>\r
+ <Tile>2205</Tile>\r
+ <Tile>1303</Tile>\r
+ <Tile>1307</Tile>\r
+ <Tile>2206</Tile>\r
+ <Tile>2301</Tile>\r
+ <Tile>2103</Tile>\r
+ <Tile>2305</Tile>\r
+ <Tile>2302</Tile>\r
+ <Tile>2107</Tile>\r
+ <Tile>2306</Tile>\r
+ <Tile>2203</Tile>\r
+ <Tile>2207</Tile>\r
+ <Tile>2303</Tile>\r
+ <Tile>2307</Tile>\r
+ <Tile>1104</Tile>\r
+ <Tile>1108</Tile>\r
+ <Tile>1204</Tile>\r
+ <Tile>1208</Tile>\r
+ <Tile>1304</Tile>\r
+ <Tile>1308</Tile>\r
+ <Tile>2104</Tile>\r
+ <Tile>2108</Tile>\r
+ <Tile>2204</Tile>\r
+ <Tile>2208</Tile>\r
+ <Tile>2304</Tile>\r
+ <Tile>2308</Tile>\r
+ </Lane>\r
+ <Lane Index="8">\r
+ <Sample>s</Sample>\r
+ <Tile>1101</Tile>\r
+ <Tile>1102</Tile>\r
+ <Tile>1105</Tile>\r
+ <Tile>1106</Tile>\r
+ <Tile>1201</Tile>\r
+ <Tile>1202</Tile>\r
+ <Tile>1103</Tile>\r
+ <Tile>1205</Tile>\r
+ <Tile>1206</Tile>\r
+ <Tile>1107</Tile>\r
+ <Tile>1301</Tile>\r
+ <Tile>1302</Tile>\r
+ <Tile>1203</Tile>\r
+ <Tile>1306</Tile>\r
+ <Tile>1305</Tile>\r
+ <Tile>1207</Tile>\r
+ <Tile>2101</Tile>\r
+ <Tile>1303</Tile>\r
+ <Tile>2102</Tile>\r
+ <Tile>1307</Tile>\r
+ <Tile>2105</Tile>\r
+ <Tile>2103</Tile>\r
+ <Tile>2106</Tile>\r
+ <Tile>2201</Tile>\r
+ <Tile>2107</Tile>\r
+ <Tile>2205</Tile>\r
+ <Tile>2202</Tile>\r
+ <Tile>2206</Tile>\r
+ <Tile>2203</Tile>\r
+ <Tile>2301</Tile>\r
+ <Tile>2305</Tile>\r
+ <Tile>2302</Tile>\r
+ <Tile>2306</Tile>\r
+ <Tile>1104</Tile>\r
+ <Tile>2207</Tile>\r
+ <Tile>1108</Tile>\r
+ <Tile>1204</Tile>\r
+ <Tile>2303</Tile>\r
+ <Tile>2307</Tile>\r
+ <Tile>1208</Tile>\r
+ <Tile>1304</Tile>\r
+ <Tile>1308</Tile>\r
+ <Tile>2104</Tile>\r
+ <Tile>2108</Tile>\r
+ <Tile>2204</Tile>\r
+ <Tile>2208</Tile>\r
+ <Tile>2304</Tile>\r
+ <Tile>2308</Tile>\r
+ </Lane>\r
+ </TileSelection>\r
+ <Time />\r
+ <User />\r
+ </Run>\r
+</ImageAnalysis>
\ No newline at end of file
+++ /dev/null
-<?xml version="1.0"?>
-<RunParameters>
- <Barcodes>
- </Barcodes>
- <Defaults>
- <ANALYSIS>none</ANALYSIS>
- <CHROM_NAME_SOURCE>fileName</CHROM_NAME_SOURCE>
- <CHROM_NAME_VALIDATION>on</CHROM_NAME_VALIDATION>
- <CMDPREFIX></CMDPREFIX>
- <DATASET_POST_RUN_COMMAND></DATASET_POST_RUN_COMMAND>
- <ELAND_EXTENDED_MULTI_READS>off</ELAND_EXTENDED_MULTI_READS>
- <ELAND_FASTQ_FILES_PER_PROCESS>3</ELAND_FASTQ_FILES_PER_PROCESS>
- <ELAND_GENOME></ELAND_GENOME>
- <ELAND_GENOME_MASK>*.fa</ELAND_GENOME_MASK>
- <ELAND_MAX_MATCHES></ELAND_MAX_MATCHES>
- <ELAND_PARAMS></ELAND_PARAMS>
- <ELAND_REPEAT></ELAND_REPEAT>
- <ELAND_RNA_GENE_MD_GROUP_LABEL></ELAND_RNA_GENE_MD_GROUP_LABEL>
- <ELAND_RNA_GENOME_ANNOTATION></ELAND_RNA_GENOME_ANNOTATION>
- <ELAND_RNA_GENOME_CONTAM></ELAND_RNA_GENOME_CONTAM>
- <ELAND_RNA_GENOME_CONTAM_MASK>*.fa</ELAND_RNA_GENOME_CONTAM_MASK>
- <ELAND_RNA_MULTI_READS>off</ELAND_RNA_MULTI_READS>
- <ELAND_SEED_LENGTH1>32</ELAND_SEED_LENGTH1>
- <ELAND_SEED_LENGTH2></ELAND_SEED_LENGTH2>
- <EMAIL_DOMAIN>domain.com</EMAIL_DOMAIN>
- <EMAIL_LIST>${logName}</EMAIL_LIST>
- <EMAIL_SERVER>localhost:25</EMAIL_SERVER>
- <EXPT_DIR>/mmjggl/nicodemus/data01/sequencer/110815_SN787_0101_AD07K6ACXX/Unaligned_1MM</EXPT_DIR>
- <FLAT_TXT_GZ_SUFFIX>Flat.txt.gz</FLAT_TXT_GZ_SUFFIX>
- <FLOWCELL>D07K6ACXX</FLOWCELL>
- <GENE_MD_GZ_SUFFIX>_gene.md.gz</GENE_MD_GZ_SUFFIX>
- <INCREASED_SENSITIVITY></INCREASED_SENSITIVITY>
- <KAGU_PAIR_PARAMS>--muf 0</KAGU_PAIR_PARAMS>
- <KAGU_PARAMS>--mmaq 4</KAGU_PARAMS>
- <NUM_LEADING_DIRS_TO_STRIP>2</NUM_LEADING_DIRS_TO_STRIP>
- <OA_SUFFIX>.oa</OA_SUFFIX>
- <ORIGINAL_READS>1</ORIGINAL_READS>
- <ORIGINAL_READ_LENGTH1>50</ORIGINAL_READ_LENGTH1>
- <ORPHAN_ALIGNER_PARAMS>2</ORPHAN_ALIGNER_PARAMS>
- <OUT_DIR>/mmjggl/nicodemus/data01/sequencer/110815_SN787_0101_AD07K6ACXX/Aligned_1MM</OUT_DIR>
- <PAS_PARAMS></PAS_PARAMS>
- <RAMM_REPORT_TYPE></RAMM_REPORT_TYPE>
- <READS>1</READS>
- <READ_LENGTH1>49</READ_LENGTH1>
- <RNAQC_COUNT_CLUSTERS_CMD>$(WC) -l</RNAQC_COUNT_CLUSTERS_CMD>
- <RNAQC_COUNT_CLUSTERS_NAME>totalClusters</RNAQC_COUNT_CLUSTERS_NAME>
- <RNAQC_COUNT_GENOME_CMD>($(GREP) -cvE '^((NM|QC|RM|[0-9]+:[0-9]+:[0-9]+)$$|splice_sites)' || exit 0)</RNAQC_COUNT_GENOME_CMD>
- <RNAQC_COUNT_GENOME_NAME>genomeUsable</RNAQC_COUNT_GENOME_NAME>
- <RNAQC_COUNT_NM_CMD>($(FGREP) -wc NM || exit 0)</RNAQC_COUNT_NM_CMD>
- <RNAQC_COUNT_NM_NAME>noMatch</RNAQC_COUNT_NM_NAME>
- <RNAQC_COUNT_PF_CMD>$(WC) -l</RNAQC_COUNT_PF_CMD>
- <RNAQC_COUNT_PF_NAME>PFClusters</RNAQC_COUNT_PF_NAME>
- <RNAQC_COUNT_QC_CMD>($(FGREP) -wc QC || exit 0)</RNAQC_COUNT_QC_CMD>
- <RNAQC_COUNT_QC_NAME>QC</RNAQC_COUNT_QC_NAME>
- <RNAQC_COUNT_RM_CMD>($(FGREP) -wc RM || exit 0)</RNAQC_COUNT_RM_CMD>
- <RNAQC_COUNT_RM_NAME>repeatMasked</RNAQC_COUNT_RM_NAME>
- <RNAQC_COUNT_SPLICE_CMD>($(FGREP) -c splice_sites || exit 0)</RNAQC_COUNT_SPLICE_CMD>
- <RNAQC_COUNT_SPLICE_NAME>spliceUsable</RNAQC_COUNT_SPLICE_NAME>
- <RNAQC_COUNT_USABLE_CMD>$(CUT) -f13 |($(EGREP) [0-9] || exit 0)|$(WC) -l</RNAQC_COUNT_USABLE_CMD>
- <RNAQC_COUNT_USABLE_NAME>usable</RNAQC_COUNT_USABLE_NAME>
- <RNAQC_FIND_CONTAMS_CMD>($(GREP) -vE '^(NM|QC|RM|[0-9]+:[0-9]+:[0-9]+)$$' || exit 0)</RNAQC_FIND_CONTAMS_CMD>
- <SAMTOOLS_GENOME></SAMTOOLS_GENOME>
- <SEQGENEMD2REFFLAT_PARAMS></SEQGENEMD2REFFLAT_PARAMS>
- <SINGLESEED></SINGLESEED>
- <SPLCSTS_PARAMS>-v $(CASAVA_LOG_LEVEL)</SPLCSTS_PARAMS>
- <SQUASH_GENOME_PARAMS></SQUASH_GENOME_PARAMS>
- <UNGAPPED></UNGAPPED>
- <USE_BASES>y*n</USE_BASES>
- <USE_BASES1>yyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyn</USE_BASES1>
- <WEB_DIR_ROOT>http://host.domain.com/yourshare/</WEB_DIR_ROOT>
- <WITH_ORPHAN_ALIGNER>true</WITH_ORPHAN_ALIGNER>
- </Defaults>
- <Lanes>
- <Lane index="1">
- <Barcodes></Barcodes>
- <Defaults>
- <ANALYSIS>eland_extended</ANALYSIS>
- <CHROM_NAME_SOURCE>fileName</CHROM_NAME_SOURCE>
- <ELAND_GENOME>/mmjggl/nicodemus/data01/genomes/elegans190/chromosomes/</ELAND_GENOME>
- <ELAND_GENOME_MASK>*.fa</ELAND_GENOME_MASK>
- <ELAND_SEED_LENGTH1>32</ELAND_SEED_LENGTH1>
- <READS>1</READS>
- <READ_LENGTH1>49</READ_LENGTH1>
- <Tiles>1101 1102 1103 1104 1105 1106 1107 1108 1201 1202 1203 1204 1205 1206 1207 1208 1301 1302 1303 1304 1305 1306 1307 1308 2101 2102 2103 2104 2105 2106 2107 2108 2201 2202 2203 2204 2205 2206 2207 2208 2301 2302 2303 2304 2305 2306 2307 2308</Tiles>
- <USE_BASES>Y*n</USE_BASES>
- <USE_BASES1>yyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyn</USE_BASES1>
- </Defaults>
- <Projects></Projects>
- <References></References>
- <Samples></Samples>
- </Lane>
- <Lane index="2">
- <Barcodes></Barcodes>
- <Defaults>
- <ANALYSIS>eland_extended</ANALYSIS>
- <CHROM_NAME_SOURCE>fileName</CHROM_NAME_SOURCE>
- <ELAND_GENOME>/mmjggl/nicodemus/data01/genomes/elegans190/chromosomes/</ELAND_GENOME>
- <ELAND_GENOME_MASK>*.fa</ELAND_GENOME_MASK>
- <ELAND_SEED_LENGTH1>32</ELAND_SEED_LENGTH1>
- <READS>1</READS>
- <READ_LENGTH1>49</READ_LENGTH1>
- <Tiles>1101 1102 1103 1104 1105 1106 1107 1108 1201 1202 1203 1204 1205 1206 1207 1208 1301 1302 1303 1304 1305 1306 1307 1308 2101 2102 2103 2104 2105 2106 2107 2108 2201 2202 2203 2204 2205 2206 2207 2208 2301 2302 2303 2304 2305 2306 2307 2308</Tiles>
- <USE_BASES>Y*n</USE_BASES>
- <USE_BASES1>yyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyn</USE_BASES1>
- </Defaults>
- <Projects></Projects>
- <References></References>
- <Samples></Samples>
- </Lane>
- <Lane index="4">
- <Barcodes></Barcodes>
- <Defaults>
- <ANALYSIS>eland_extended</ANALYSIS>
- <CHROM_NAME_SOURCE>fileName</CHROM_NAME_SOURCE>
- <ELAND_GENOME>/mmjggl/nicodemus/data01/genomes/hg18/chromosomes/</ELAND_GENOME>
- <ELAND_GENOME_MASK>*.fa</ELAND_GENOME_MASK>
- <ELAND_SEED_LENGTH1>32</ELAND_SEED_LENGTH1>
- <READS>1</READS>
- <READ_LENGTH1>49</READ_LENGTH1>
- <Tiles>1101 1102 1103 1104 1105 1106 1107 1108 1201 1202 1203 1204 1205 1206 1207 1208 1301 1302 1303 1304 1305 1306 1307 1308 2101 2102 2103 2104 2105 2106 2107 2108 2201 2202 2203 2204 2205 2206 2207 2208 2301 2302 2303 2304 2305 2306 2307 2308</Tiles>
- <USE_BASES>Y*n</USE_BASES>
- <USE_BASES1>yyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyn</USE_BASES1>
- </Defaults>
- <Projects></Projects>
- <References></References>
- <Samples></Samples>
- </Lane>
- <Lane index="5">
- <Barcodes></Barcodes>
- <Defaults>
- <ANALYSIS>eland_extended</ANALYSIS>
- <CHROM_NAME_SOURCE>fileName</CHROM_NAME_SOURCE>
- <ELAND_GENOME>/mmjggl/nicodemus/data01/genomes/hg18/chromosomes/</ELAND_GENOME>
- <ELAND_GENOME_MASK>*.fa</ELAND_GENOME_MASK>
- <ELAND_SEED_LENGTH1>32</ELAND_SEED_LENGTH1>
- <READS>1</READS>
- <READ_LENGTH1>49</READ_LENGTH1>
- <Tiles>1101 1102 1103 1104 1105 1106 1107 1108 1201 1202 1203 1204 1205 1206 1207 1208 1301 1302 1303 1304 1305 1306 1307 1308 2101 2102 2103 2104 2105 2106 2107 2108 2201 2202 2203 2204 2205 2206 2207 2208 2301 2302 2303 2304 2305 2306 2307 2308</Tiles>
- <USE_BASES>Y*n</USE_BASES>
- <USE_BASES1>yyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyn</USE_BASES1>
- </Defaults>
- <Projects></Projects>
- <References></References>
- <Samples></Samples>
- </Lane>
- <Lane index="6">
- <Barcodes></Barcodes>
- <Defaults>
- <ANALYSIS>eland_extended</ANALYSIS>
- <CHROM_NAME_SOURCE>fileName</CHROM_NAME_SOURCE>
- <ELAND_GENOME>/mmjggl/nicodemus/data01/genomes/hg18/chromosomes/</ELAND_GENOME>
- <ELAND_GENOME_MASK>*.fa</ELAND_GENOME_MASK>
- <ELAND_SEED_LENGTH1>32</ELAND_SEED_LENGTH1>
- <READS>1</READS>
- <READ_LENGTH1>49</READ_LENGTH1>
- <Tiles>1101 1102 1103 1104 1105 1106 1107 1108 1201 1202 1203 1204 1205 1206 1207 1208 1301 1302 1303 1304 1305 1306 1307 1308 2101 2102 2103 2104 2105 2106 2107 2108 2201 2202 2203 2204 2205 2206 2207 2208 2301 2302 2303 2304 2305 2306 2307 2308</Tiles>
- <USE_BASES>Y*n</USE_BASES>
- <USE_BASES1>yyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyn</USE_BASES1>
- </Defaults>
- <Projects></Projects>
- <References></References>
- <Samples></Samples>
- </Lane>
- <Lane index="7">
- <Barcodes></Barcodes>
- <Defaults>
- <ANALYSIS>none</ANALYSIS>
- <Tiles>1101 1102 1103 1104 1105 1106 1107 1108 1201 1202 1203 1204 1205 1206 1207 1208 1301 1302 1303 1304 1305 1306 1307 1308 2101 2102 2103 2104 2105 2106 2107 2108 2201 2202 2203 2204 2205 2206 2207 2208 2301 2302 2303 2304 2305 2306 2307 2308</Tiles>
- </Defaults>
- <Projects></Projects>
- <References></References>
- <Samples></Samples>
- </Lane>
- <Lane index="8">
- <Barcodes></Barcodes>
- <Defaults>
- <ANALYSIS>none</ANALYSIS>
- <Tiles>1101 1102 1103 1104 1105 1106 1107 1108 1201 1202 1203 1204 1205 1206 1207 1208 1301 1302 1303 1304 1305 1306 1307 1308 2101 2102 2103 2104 2105 2106 2107 2108 2201 2202 2203 2204 2205 2206 2207 2208 2301 2302 2303 2304 2305 2306 2307 2308</Tiles>
- </Defaults>
- <Projects></Projects>
- <References></References>
- <Samples></Samples>
- </Lane>
- <Lane index="3">
- <Barcodes></Barcodes>
- <Defaults>
- <Tiles>1101 1102 1103 1104 1105 1106 1107 1108 1201 1202 1203 1204 1205 1206 1207 1208 1301 1302 1303 1304 1305 1306 1307 1308 2101 2102 2103 2104 2105 2106 2107 2108 2201 2202 2203 2204 2205 2206 2207 2208 2301 2302 2303 2304 2305 2306 2307 2308</Tiles>
- </Defaults>
- <Projects></Projects>
- <References></References>
- <Samples></Samples>
- </Lane>
- </Lanes>
- <Projects>
- <Project name="12383">
- <ANALYSIS>eland_extended</ANALYSIS>
- <CHROM_NAME_SOURCE>fileName</CHROM_NAME_SOURCE>
- <ELAND_GENOME>/mmjggl/nicodemus/data01/genomes/hg18/chromosomes/</ELAND_GENOME>
- <ELAND_GENOME_MASK>*.fa</ELAND_GENOME_MASK>
- <ELAND_SEED_LENGTH1>32</ELAND_SEED_LENGTH1>
- <READS>1</READS>
- <READ_LENGTH1>49</READ_LENGTH1>
- <USE_BASES>Y*n</USE_BASES>
- <USE_BASES1>yyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyn</USE_BASES1>
- </Project>
- <Project name="Undetermined_indices">
- <ANALYSIS>none</ANALYSIS>
- </Project>
- </Projects>
- <References>
- <Reference name="mm9">
- <ANALYSIS>eland_extended</ANALYSIS>
- <CHROM_NAME_SOURCE>fileName</CHROM_NAME_SOURCE>
- <ELAND_GENOME>/mmjggl/nicodemus/data01/genomes/mm9/chromosomes/</ELAND_GENOME>
- <ELAND_GENOME_MASK>*.fa</ELAND_GENOME_MASK>
- <ELAND_SEED_LENGTH1>32</ELAND_SEED_LENGTH1>
- <READS>1</READS>
- <READ_LENGTH1>49</READ_LENGTH1>
- <USE_BASES>Y*n</USE_BASES>
- <USE_BASES1>yyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyn</USE_BASES1>
- </Reference>
- </References>
- <Samples>
- </Samples>
- <Software CmdAndArgs="/mmjggl/nicodemus/data01/casava-v1.8.1/bin/configureAlignment.pl config.txt --EXPT_DIR /mmjggl/nicodemus/data01/sequencer/110815_SN787_0101_AD07K6ACXX/Unaligned_1MM/ --OUT_DIR /mmjggl/nicodemus/data01/sequencer/110815_SN787_0101_AD07K6ACXX/Aligned_1MM -make" Name="configureAlignment.pl" Version="CASAVA-1.8.1">
- <Software CmdAndArgs="/mmjggl/nicodemus/data01/casava-v1.8.1/bin/configureBclToFastq.pl --input-dir Data/Intensities/BaseCalls/ --output-dir Unaligned_1MM --sample-sheet Data/Intensities/BaseCalls/SampleSheet.csv --mismatches 1" Name="configureBclToFastq.pl" Version="CASAVA-1.8.1">
- <Software Name="RTA" Version="1.12.4.2">
- <Software Name="RTA" Version="1.12.4.2">
- <Software Name="HiSeq Control Software" Platform="HiSeq" Version="1.4.8" />
- </Software>
- </Software>
- </Software>
- </Software>
-</RunParameters>
+++ /dev/null
-<DemultiplexConfig>
- <Software Version="CASAVA-1.8.1" CmdAndArgs="/mmjggl/nicodemus/data01/casava-v1.8.1/bin/configureBclToFastq.pl --input-dir Data/Intensities/BaseCalls/ --output-dir Unaligned --sample-sheet Data/Intensities/BaseCalls/SampleSheet.csv" Name="configureBclToFastq.pl">
- <Software Version="1.12.4.2" Name="RTA">
- <Software Version="1.12.4.2" Name="RTA">
- <Software Version="1.4.8" Platform="HiSeq" Name="HiSeq Control Software" />
- </Software>
- </Software>
- </Software>
- <FlowcellInfo ID="D07K6ACXX" Operator="Lorian" Recipe="SR_indexing" Desc="">
- <Lane Number="1">
- <Sample ProjectId="12281" Control="N" Index="ACAGTG" SampleId="12281" Desc="Index #5 AWCon cell#3_N2" Ref="elegans190" />
- <Sample ProjectId="12279" Control="N" Index="CGATGT" SampleId="12279" Desc="Index #2 AWCon cell#1_N2" Ref="elegans190" />
- <Sample ProjectId="12280" Control="N" Index="TGACCA" SampleId="12280" Desc="Index #4 AWCon cell#2_N2" Ref="elegans190" />
- <Sample ProjectId="Undetermined_indices" Control="N" Index="Undetermined" SampleId="lane1" Desc="Clusters with unmatched barcodes for lane 1" Ref="unknown" />
- </Lane>
- <Lane Number="2">
- <Sample ProjectId="12345" Control="N" Index="ACAGTG" SampleId="12345" Desc="Index #5 3 AWC ablated CX3695" Ref="elegans190" />
- <Sample ProjectId="12283" Control="N" Index="CAGATC" SampleId="12283" Desc="Index #7 AWCon cell#5_N2" Ref="elegans190" />
- <Sample ProjectId="12282" Control="N" Index="GCCAAT" SampleId="12282" Desc="Index #6 AWCon cell#4_N2" Ref="elegans190" />
- <Sample ProjectId="Undetermined_indices" Control="N" Index="Undetermined" SampleId="lane2" Desc="Clusters with unmatched barcodes for lane 2" Ref="unknown" />
- </Lane>
- <Lane Number="3">
- <Sample ProjectId="12331" Control="N" Index="ACAGTG" SampleId="12331" Desc="Index #5 060111 FLDN2b(d8.5) H3K4me3 ChIP" Ref="mm9" />
- <Sample ProjectId="12383" Control="N" Index="CGATGT" SampleId="12383" Desc="Index #2 jwp ix-65 ni 16h" Ref="hg18" />
- <Sample ProjectId="12330" Control="N" Index="TGACCA" SampleId="12330" Desc="Index #4 060111 Bcl11bKO DL4 FLDN2a H3K4me3 ChIP" Ref="mm9" />
- <Sample ProjectId="Undetermined_indices" Control="N" Index="Undetermined" SampleId="lane3" Desc="Clusters with unmatched barcodes for lane 3" Ref="unknown" />
- </Lane>
- <Lane Number="4">
- <Sample ProjectId="12385" Control="N" Index="ACAGTG" SampleId="12385" Desc="Index #5 jwp ix-65 i 16h" Ref="hg18" />
- <Sample ProjectId="12386" Control="N" Index="GCCAAT" SampleId="12386" Desc="Index #6 jwp ix-71 NI 16h" Ref="hg18" />
- <Sample ProjectId="12384" Control="N" Index="TGACCA" SampleId="12384" Desc="index #4 jwp ix-65 RD 16h" Ref="hg18" />
- <Sample ProjectId="Undetermined_indices" Control="N" Index="Undetermined" SampleId="lane4" Desc="Clusters with unmatched barcodes for lane 4" Ref="unknown" />
- </Lane>
- <Lane Number="5">
- <Sample ProjectId="12387" Control="N" Index="CAGATC" SampleId="12387" Desc="Index #7 jwp ix-71 RD 16h" Ref="hg18" />
- <Sample ProjectId="12388" Control="N" Index="CTTGTA" SampleId="12388" Desc="Index #12 jwp ix-71 i 16h" Ref="hg18" />
- <Sample ProjectId="Undetermined_indices" Control="N" Index="Undetermined" SampleId="lane5" Desc="Clusters with unmatched barcodes for lane 5" Ref="unknown" />
- </Lane>
- <Lane Number="6">
- <Sample ProjectId="12391" Control="N" Index="ACTTGA" SampleId="12391" Desc="Index #8 jwp ix-63 NI 4h" Ref="hg18" />
- <Sample ProjectId="12392" Control="N" Index="GATCAG" SampleId="12392" Desc="Index #9 jwp ix-63 DHT 10uM PA 4h" Ref="hg18" />
- <Sample ProjectId="12393" Control="N" Index="TAGCTT" SampleId="12393" Desc="Index #10 jwp ix-63 DHT 4h" Ref="hg18" />
- <Sample ProjectId="Undetermined_indices" Control="N" Index="Undetermined" SampleId="lane6" Desc="Clusters with unmatched barcodes for lane 6" Ref="unknown" />
- </Lane>
- <Lane Number="7">
- <Sample ProjectId="12348_Index5" Control="N" Index="ACAGTG" SampleId="12348" Desc="Indices #1-9 Small RNA OSS TJ-GFP and constr.E-H" Ref="dm3" />
- <Sample ProjectId="12348_Index8" Control="N" Index="ACTTGA" SampleId="12348" Desc="Indices #1-9 Small RNA OSS TJ-GFP and constr.E-H" Ref="dm3" />
- <Sample ProjectId="12348_Index1" Control="N" Index="ATCACG" SampleId="12348" Desc="Indices #1-9 Small RNA OSS TJ-GFP and constr.E-H" Ref="dm3" />
- <Sample ProjectId="12348_Index7" Control="N" Index="CAGATC" SampleId="12348" Desc="Indices #1-9 Small RNA OSS TJ-GFP and constr.E-H" Ref="dm3" />
- <Sample ProjectId="12348_Index2" Control="N" Index="CGATGT" SampleId="12348" Desc="Indices #1-9 Small RNA OSS TJ-GFP and constr.E-H" Ref="dm3" />
- <Sample ProjectId="12348_Index9" Control="N" Index="GATCAG" SampleId="12348" Desc="Indices #1-9 Small RNA OSS TJ-GFP and constr.E-H" Ref="dm3" />
- <Sample ProjectId="12348_Index6" Control="N" Index="GCCAAT" SampleId="12348" Desc="Indices #1-9 Small RNA OSS TJ-GFP and constr.E-H" Ref="dm3" />
- <Sample ProjectId="12348_Index4" Control="N" Index="TGACCA" SampleId="12348" Desc="Indices #1-9 Small RNA OSS TJ-GFP and constr.E-H" Ref="dm3" />
- <Sample ProjectId="12348_Index3" Control="N" Index="TTAGGC" SampleId="12348" Desc="Indices #1-9 Small RNA OSS TJ-GFP and constr.E-H" Ref="dm3" />
- <Sample ProjectId="Undetermined_indices" Control="N" Index="Undetermined" SampleId="lane7" Desc="Clusters with unmatched barcodes for lane 7" Ref="unknown" />
- </Lane>
- <Lane Number="8">
- <Sample ProjectId="12382_Index5" Control="N" Index="ACAGTG" SampleId="12382" Desc="Small RNA Index #RPI1-RPI10 Human bladder cancer small RNA" Ref="hg18" />
- <Sample ProjectId="12382_Index8" Control="N" Index="ACTTGA" SampleId="12382" Desc="Small RNA Index #RPI1-RPI10 Human bladder cancer small RNA" Ref="hg18" />
- <Sample ProjectId="12382_Index1" Control="N" Index="ATCACG" SampleId="12382" Desc="Small RNA Index #RPI1-RPI10 Human bladder cancer small RNA" Ref="hg18" />
- <Sample ProjectId="12382_Index7" Control="N" Index="CAGATC" SampleId="12382" Desc="Small RNA Index #RPI1-RPI10 Human bladder cancer small RNA" Ref="hg18" />
- <Sample ProjectId="12382_Index2" Control="N" Index="CGATGT" SampleId="12382" Desc="Small RNA Index #RPI1-RPI10 Human bladder cancer small RNA" Ref="hg18" />
- <Sample ProjectId="12382_Index9" Control="N" Index="GATCAG" SampleId="12382" Desc="Small RNA Index #RPI1-RPI10 Human bladder cancer small RNA" Ref="hg18" />
- <Sample ProjectId="12382_Index6" Control="N" Index="GCCAAT" SampleId="12382" Desc="Small RNA Index #RPI1-RPI10 Human bladder cancer small RNA" Ref="hg18" />
- <Sample ProjectId="12382_Index10" Control="N" Index="TAGCTT" SampleId="12382" Desc="Small RNA Index #RPI1-RPI10 Human bladder cancer small RNA" Ref="hg18" />
- <Sample ProjectId="12382_Index4" Control="N" Index="TGACCA" SampleId="12382" Desc="Small RNA Index #RPI1-RPI10 Human bladder cancer small RNA" Ref="hg18" />
- <Sample ProjectId="12382_Index3" Control="N" Index="TTAGGC" SampleId="12382" Desc="Small RNA Index #RPI1-RPI10 Human bladder cancer small RNA" Ref="hg18" />
- <Sample ProjectId="Undetermined_indices" Control="N" Index="Undetermined" SampleId="lane8" Desc="Clusters with unmatched barcodes for lane 8" Ref="unknown" />
- </Lane>
- </FlowcellInfo>
-</DemultiplexConfig>
+++ /dev/null
-<?xml version="1.0"?>
-<BaseCallAnalysis xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
- <Run Name="BaseCalls">
- <BaseCallParameters>
- <ChastityThreshold>0.6</ChastityThreshold>
- <Matrix Path="">
- <AutoFlag>2</AutoFlag>
- <AutoLane>0</AutoLane>
- <Cycle>1</Cycle>
- <CycleOffset>0</CycleOffset>
- <FirstCycle>1</FirstCycle>
- <LastCycle>50</LastCycle>
- <Read>1</Read>
- </Matrix>
- <Matrix Path="">
- <AutoFlag>2</AutoFlag>
- <AutoLane>0</AutoLane>
- <Cycle>51</Cycle>
- <CycleOffset>0</CycleOffset>
- <FirstCycle>51</FirstCycle>
- <LastCycle>57</LastCycle>
- <Read>2</Read>
- </Matrix>
- <Phasing Path="">
- <AutoFlag>2</AutoFlag>
- <AutoLane>0</AutoLane>
- <Cycle>2</Cycle>
- <CycleOffset>1</CycleOffset>
- <FirstCycle>1</FirstCycle>
- <LastCycle>50</LastCycle>
- <PhasingRate>0</PhasingRate>
- <PrephasingRate>0</PrephasingRate>
- <Read>1</Read>
- </Phasing>
- <Phasing Path="">
- <AutoFlag>2</AutoFlag>
- <AutoLane>0</AutoLane>
- <Cycle>52</Cycle>
- <CycleOffset>1</CycleOffset>
- <FirstCycle>51</FirstCycle>
- <LastCycle>57</LastCycle>
- <PhasingRate>0</PhasingRate>
- <PrephasingRate>0</PrephasingRate>
- <Read>2</Read>
- </Phasing>
- <PureBases>0</PureBases>
- <SmtFilter>failed-chastity</SmtFilter>
- <SmtRelation>le</SmtRelation>
- <SmtThreshold>1.0</SmtThreshold>
- </BaseCallParameters>
- <Cycles First="1" Last="57" Number="57"/>
- <RunParameters>
- <AutoCycleFlag>0</AutoCycleFlag>
- <Barcode>
- <Cycle Use="true">51</Cycle>
- <Cycle Use="true">52</Cycle>
- <Cycle Use="true">53</Cycle>
- <Cycle Use="true">54</Cycle>
- <Cycle Use="true">55</Cycle>
- <Cycle Use="true">56</Cycle>
- <Cycle Use="true">57</Cycle>
- </Barcode>
- <BasecallFlag>0</BasecallFlag>
- <Deblocked>0</Deblocked>
- <DebugFlag>0</DebugFlag>
- <FirstRunOnlyFlag>0</FirstRunOnlyFlag>
- <ImagingReads Index="1">
- <FirstCycle>1</FirstCycle>
- <LastCycle>50</LastCycle>
- </ImagingReads>
- <ImagingReads Index="2">
- <FirstCycle>51</FirstCycle>
- <LastCycle>57</LastCycle>
- <RunFolder>110815_SN787_0101_AD07K6ACXX</RunFolder>
- </ImagingReads>
- <Instrument>HWI-ST0787</Instrument>
- <IterativeMatrixFlag>0</IterativeMatrixFlag>
- <MakeFlag>0</MakeFlag>
- <MaxCycle>0</MaxCycle>
- <MinCycle>0</MinCycle>
- <QTableVersion>New6</QTableVersion>
- <RunFlowcellId>D07K6ACXX</RunFlowcellId>
- <RunFolder>110815_SN787_0101_AD07K6ACXX</RunFolder>
- <RunFolderDate>110815</RunFolderDate>
- <RunFolderId>0101</RunFolderId>
- <Reads Index="1">
- <FirstCycle>1</FirstCycle>
- <LastCycle>50</LastCycle>
- </Reads>
- </RunParameters>
- <Software Name="RTA" Version="1.12.4.2"/>
- <TileSelection>
- <Lane Index="1">
- <Sample>s</Sample>
- <Tile>1102</Tile>
- <Tile>1101</Tile>
- <Tile>1103</Tile>
- <Tile>1106</Tile>
- <Tile>1104</Tile>
- <Tile>1105</Tile>
- <Tile>1108</Tile>
- <Tile>1107</Tile>
- <Tile>1202</Tile>
- <Tile>1201</Tile>
- <Tile>1206</Tile>
- <Tile>1204</Tile>
- <Tile>1203</Tile>
- <Tile>1205</Tile>
- <Tile>1302</Tile>
- <Tile>1208</Tile>
- <Tile>1207</Tile>
- <Tile>1301</Tile>
- <Tile>1306</Tile>
- <Tile>1304</Tile>
- <Tile>1305</Tile>
- <Tile>2102</Tile>
- <Tile>1303</Tile>
- <Tile>1308</Tile>
- <Tile>2101</Tile>
- <Tile>1307</Tile>
- <Tile>2106</Tile>
- <Tile>2104</Tile>
- <Tile>2105</Tile>
- <Tile>2103</Tile>
- <Tile>2202</Tile>
- <Tile>2108</Tile>
- <Tile>2201</Tile>
- <Tile>2206</Tile>
- <Tile>2107</Tile>
- <Tile>2205</Tile>
- <Tile>2204</Tile>
- <Tile>2203</Tile>
- <Tile>2302</Tile>
- <Tile>2301</Tile>
- <Tile>2208</Tile>
- <Tile>2306</Tile>
- <Tile>2207</Tile>
- <Tile>2305</Tile>
- <Tile>2303</Tile>
- <Tile>2304</Tile>
- <Tile>2308</Tile>
- <Tile>2307</Tile>
- </Lane>
- <Lane Index="2">
- <Sample>s</Sample>
- <Tile>1101</Tile>
- <Tile>1102</Tile>
- <Tile>1105</Tile>
- <Tile>1106</Tile>
- <Tile>1104</Tile>
- <Tile>1103</Tile>
- <Tile>1201</Tile>
- <Tile>1202</Tile>
- <Tile>1108</Tile>
- <Tile>1206</Tile>
- <Tile>1107</Tile>
- <Tile>1205</Tile>
- <Tile>1302</Tile>
- <Tile>1204</Tile>
- <Tile>1301</Tile>
- <Tile>1203</Tile>
- <Tile>1208</Tile>
- <Tile>1306</Tile>
- <Tile>1305</Tile>
- <Tile>1207</Tile>
- <Tile>1304</Tile>
- <Tile>2101</Tile>
- <Tile>2102</Tile>
- <Tile>1308</Tile>
- <Tile>2105</Tile>
- <Tile>1303</Tile>
- <Tile>2201</Tile>
- <Tile>2106</Tile>
- <Tile>2104</Tile>
- <Tile>1307</Tile>
- <Tile>2205</Tile>
- <Tile>2202</Tile>
- <Tile>2108</Tile>
- <Tile>2206</Tile>
- <Tile>2103</Tile>
- <Tile>2301</Tile>
- <Tile>2204</Tile>
- <Tile>2208</Tile>
- <Tile>2107</Tile>
- <Tile>2302</Tile>
- <Tile>2305</Tile>
- <Tile>2304</Tile>
- <Tile>2203</Tile>
- <Tile>2306</Tile>
- <Tile>2308</Tile>
- <Tile>2207</Tile>
- <Tile>2303</Tile>
- <Tile>2307</Tile>
- </Lane>
- <Lane Index="3">
- <Sample>s</Sample>
- <Tile>1101</Tile>
- <Tile>1102</Tile>
- <Tile>1105</Tile>
- <Tile>1104</Tile>
- <Tile>1108</Tile>
- <Tile>1106</Tile>
- <Tile>1201</Tile>
- <Tile>1103</Tile>
- <Tile>1204</Tile>
- <Tile>1202</Tile>
- <Tile>1205</Tile>
- <Tile>1107</Tile>
- <Tile>1208</Tile>
- <Tile>1206</Tile>
- <Tile>1301</Tile>
- <Tile>1304</Tile>
- <Tile>1203</Tile>
- <Tile>1302</Tile>
- <Tile>1308</Tile>
- <Tile>1305</Tile>
- <Tile>1207</Tile>
- <Tile>2101</Tile>
- <Tile>2104</Tile>
- <Tile>1306</Tile>
- <Tile>1303</Tile>
- <Tile>2102</Tile>
- <Tile>2105</Tile>
- <Tile>2108</Tile>
- <Tile>1307</Tile>
- <Tile>2106</Tile>
- <Tile>2204</Tile>
- <Tile>2201</Tile>
- <Tile>2103</Tile>
- <Tile>2208</Tile>
- <Tile>2202</Tile>
- <Tile>2107</Tile>
- <Tile>2205</Tile>
- <Tile>2301</Tile>
- <Tile>2304</Tile>
- <Tile>2203</Tile>
- <Tile>2206</Tile>
- <Tile>2207</Tile>
- <Tile>2305</Tile>
- <Tile>2308</Tile>
- <Tile>2302</Tile>
- <Tile>2303</Tile>
- <Tile>2307</Tile>
- <Tile>2306</Tile>
- </Lane>
- <Lane Index="4">
- <Sample>s</Sample>
- <Tile>1101</Tile>
- <Tile>1104</Tile>
- <Tile>1103</Tile>
- <Tile>1102</Tile>
- <Tile>1108</Tile>
- <Tile>1105</Tile>
- <Tile>1107</Tile>
- <Tile>1106</Tile>
- <Tile>1204</Tile>
- <Tile>1201</Tile>
- <Tile>1203</Tile>
- <Tile>1202</Tile>
- <Tile>1208</Tile>
- <Tile>1205</Tile>
- <Tile>1207</Tile>
- <Tile>1206</Tile>
- <Tile>1304</Tile>
- <Tile>1301</Tile>
- <Tile>1302</Tile>
- <Tile>1308</Tile>
- <Tile>1303</Tile>
- <Tile>1305</Tile>
- <Tile>1306</Tile>
- <Tile>1307</Tile>
- <Tile>2104</Tile>
- <Tile>2101</Tile>
- <Tile>2108</Tile>
- <Tile>2102</Tile>
- <Tile>2103</Tile>
- <Tile>2105</Tile>
- <Tile>2204</Tile>
- <Tile>2106</Tile>
- <Tile>2107</Tile>
- <Tile>2201</Tile>
- <Tile>2208</Tile>
- <Tile>2202</Tile>
- <Tile>2203</Tile>
- <Tile>2304</Tile>
- <Tile>2205</Tile>
- <Tile>2206</Tile>
- <Tile>2207</Tile>
- <Tile>2308</Tile>
- <Tile>2301</Tile>
- <Tile>2302</Tile>
- <Tile>2303</Tile>
- <Tile>2305</Tile>
- <Tile>2307</Tile>
- <Tile>2306</Tile>
- </Lane>
- <Lane Index="5">
- <Sample>s</Sample>
- <Tile>1104</Tile>
- <Tile>1108</Tile>
- <Tile>1101</Tile>
- <Tile>1204</Tile>
- <Tile>1102</Tile>
- <Tile>1103</Tile>
- <Tile>1106</Tile>
- <Tile>1105</Tile>
- <Tile>1107</Tile>
- <Tile>1208</Tile>
- <Tile>1201</Tile>
- <Tile>1202</Tile>
- <Tile>1203</Tile>
- <Tile>1304</Tile>
- <Tile>1205</Tile>
- <Tile>1206</Tile>
- <Tile>1301</Tile>
- <Tile>1308</Tile>
- <Tile>1207</Tile>
- <Tile>1302</Tile>
- <Tile>2104</Tile>
- <Tile>1303</Tile>
- <Tile>1305</Tile>
- <Tile>1306</Tile>
- <Tile>2101</Tile>
- <Tile>2102</Tile>
- <Tile>1307</Tile>
- <Tile>2108</Tile>
- <Tile>2204</Tile>
- <Tile>2103</Tile>
- <Tile>2105</Tile>
- <Tile>2107</Tile>
- <Tile>2106</Tile>
- <Tile>2201</Tile>
- <Tile>2208</Tile>
- <Tile>2203</Tile>
- <Tile>2202</Tile>
- <Tile>2304</Tile>
- <Tile>2206</Tile>
- <Tile>2205</Tile>
- <Tile>2207</Tile>
- <Tile>2302</Tile>
- <Tile>2301</Tile>
- <Tile>2303</Tile>
- <Tile>2308</Tile>
- <Tile>2305</Tile>
- <Tile>2307</Tile>
- <Tile>2306</Tile>
- </Lane>
- <Lane Index="6">
- <Sample>s</Sample>
- <Tile>1104</Tile>
- <Tile>1101</Tile>
- <Tile>1103</Tile>
- <Tile>1102</Tile>
- <Tile>1108</Tile>
- <Tile>1107</Tile>
- <Tile>1105</Tile>
- <Tile>1106</Tile>
- <Tile>1204</Tile>
- <Tile>1203</Tile>
- <Tile>1201</Tile>
- <Tile>1202</Tile>
- <Tile>1208</Tile>
- <Tile>1207</Tile>
- <Tile>1205</Tile>
- <Tile>1206</Tile>
- <Tile>1304</Tile>
- <Tile>1303</Tile>
- <Tile>1301</Tile>
- <Tile>1302</Tile>
- <Tile>1308</Tile>
- <Tile>1307</Tile>
- <Tile>1305</Tile>
- <Tile>2104</Tile>
- <Tile>1306</Tile>
- <Tile>2103</Tile>
- <Tile>2101</Tile>
- <Tile>2102</Tile>
- <Tile>2108</Tile>
- <Tile>2107</Tile>
- <Tile>2105</Tile>
- <Tile>2106</Tile>
- <Tile>2204</Tile>
- <Tile>2203</Tile>
- <Tile>2202</Tile>
- <Tile>2201</Tile>
- <Tile>2208</Tile>
- <Tile>2207</Tile>
- <Tile>2206</Tile>
- <Tile>2205</Tile>
- <Tile>2304</Tile>
- <Tile>2303</Tile>
- <Tile>2302</Tile>
- <Tile>2301</Tile>
- <Tile>2307</Tile>
- <Tile>2308</Tile>
- <Tile>2306</Tile>
- <Tile>2305</Tile>
- </Lane>
- <Lane Index="7">
- <Sample>s</Sample>
- <Tile>1103</Tile>
- <Tile>1107</Tile>
- <Tile>1104</Tile>
- <Tile>1108</Tile>
- <Tile>1203</Tile>
- <Tile>1101</Tile>
- <Tile>1102</Tile>
- <Tile>1204</Tile>
- <Tile>1105</Tile>
- <Tile>1207</Tile>
- <Tile>1106</Tile>
- <Tile>1208</Tile>
- <Tile>1201</Tile>
- <Tile>1202</Tile>
- <Tile>1303</Tile>
- <Tile>1205</Tile>
- <Tile>1206</Tile>
- <Tile>1307</Tile>
- <Tile>1304</Tile>
- <Tile>1301</Tile>
- <Tile>1302</Tile>
- <Tile>1305</Tile>
- <Tile>1308</Tile>
- <Tile>2103</Tile>
- <Tile>1306</Tile>
- <Tile>2101</Tile>
- <Tile>2107</Tile>
- <Tile>2104</Tile>
- <Tile>2105</Tile>
- <Tile>2102</Tile>
- <Tile>2108</Tile>
- <Tile>2203</Tile>
- <Tile>2201</Tile>
- <Tile>2106</Tile>
- <Tile>2205</Tile>
- <Tile>2207</Tile>
- <Tile>2202</Tile>
- <Tile>2204</Tile>
- <Tile>2301</Tile>
- <Tile>2303</Tile>
- <Tile>2206</Tile>
- <Tile>2208</Tile>
- <Tile>2305</Tile>
- <Tile>2307</Tile>
- <Tile>2302</Tile>
- <Tile>2304</Tile>
- <Tile>2306</Tile>
- <Tile>2308</Tile>
- </Lane>
- <Lane Index="8">
- <Sample>s</Sample>
- <Tile>1101</Tile>
- <Tile>1103</Tile>
- <Tile>1102</Tile>
- <Tile>1105</Tile>
- <Tile>1107</Tile>
- <Tile>1104</Tile>
- <Tile>1106</Tile>
- <Tile>1201</Tile>
- <Tile>1108</Tile>
- <Tile>1203</Tile>
- <Tile>1202</Tile>
- <Tile>1205</Tile>
- <Tile>1207</Tile>
- <Tile>1204</Tile>
- <Tile>1206</Tile>
- <Tile>1301</Tile>
- <Tile>1208</Tile>
- <Tile>1303</Tile>
- <Tile>1302</Tile>
- <Tile>1305</Tile>
- <Tile>1307</Tile>
- <Tile>1304</Tile>
- <Tile>1306</Tile>
- <Tile>2101</Tile>
- <Tile>1308</Tile>
- <Tile>2103</Tile>
- <Tile>2105</Tile>
- <Tile>2102</Tile>
- <Tile>2107</Tile>
- <Tile>2106</Tile>
- <Tile>2104</Tile>
- <Tile>2201</Tile>
- <Tile>2205</Tile>
- <Tile>2202</Tile>
- <Tile>2203</Tile>
- <Tile>2108</Tile>
- <Tile>2206</Tile>
- <Tile>2301</Tile>
- <Tile>2207</Tile>
- <Tile>2204</Tile>
- <Tile>2305</Tile>
- <Tile>2302</Tile>
- <Tile>2303</Tile>
- <Tile>2208</Tile>
- <Tile>2306</Tile>
- <Tile>2307</Tile>
- <Tile>2304</Tile>
- <Tile>2308</Tile>
- </Lane>
- </TileSelection>
- </Run>
-</BaseCallAnalysis>
+++ /dev/null
-<?xml version="1.0"?>
-<BustardSummary>
- <ChipResultsSummary>
- <clusterCountPF>454185731</clusterCountPF>
- <clusterCountRaw>781064977</clusterCountRaw>
- <yield>25888586667</yield>
- </ChipResultsSummary>
- <ChipSummary>
- <ChipID>unknown</ChipID>
- <Machine>HWI-ST0787</Machine>
- <RunFolder>110815_SN787_0101_AD07K6ACXX</RunFolder>
- </ChipSummary>
- <Date>2011-08-18 20:18:19</Date>
- <ExpandedLaneSummary>
- <Read>
- <Lane>
- <clusterCountRaw>
- <mean>3707807.14</mean>
- <stdev>573671.11</stdev>
- <sumsq>393825007132852.00</sumsq>
- </clusterCountRaw>
- <laneNumber>1</laneNumber>
- <percentClustersPF>
- <mean>47.64</mean>
- <stdev>19.64</stdev>
- <sumsq>73957.00</sumsq>
- </percentClustersPF>
- <phasingApplied>0.3810</phasingApplied>
- <prephasingApplied>0.0844</prephasingApplied>
- <signalAverage1to3>
- <mean>677.00</mean>
- <stdev>148.48</stdev>
- <sumsq>13428576.43</sumsq>
- </signalAverage1to3>
- <signalAverage2to4>
- <mean>908.15</mean>
- <stdev>81.51</stdev>
- <sumsq>23271897.61</sumsq>
- </signalAverage2to4>
- <signalLoss10to20>
- <mean>-0.30</mean>
- <stdev>0.38</stdev>
- <sumsq>6.33</sumsq>
- </signalLoss10to20>
- <signalLoss2to10>
- <mean>-34.61</mean>
- <stdev>26.97</stdev>
- <sumsq>53175.44</sumsq>
- </signalLoss2to10>
- </Lane>
- <Lane>
- <clusterCountRaw>
- <mean>3329777.81</mean>
- <stdev>1102200.81</stdev>
- <sumsq>318644092316267.00</sumsq>
- </clusterCountRaw>
- <laneNumber>2</laneNumber>
- <percentClustersPF>
- <mean>24.71</mean>
- <stdev>17.39</stdev>
- <sumsq>23436.66</sumsq>
- </percentClustersPF>
- <phasingApplied>0.3694</phasingApplied>
- <prephasingApplied>0.2507</prephasingApplied>
- <signalAverage1to3>
- <mean>820.85</mean>
- <stdev>175.96</stdev>
- <sumsq>18292849.43</sumsq>
- </signalAverage1to3>
- <signalAverage2to4>
- <mean>864.16</mean>
- <stdev>95.34</stdev>
- <sumsq>19643349.08</sumsq>
- </signalAverage2to4>
- <signalLoss10to20>
- <mean>-5.69</mean>
- <stdev>12.59</stdev>
- <sumsq>4807.74</sumsq>
- </signalLoss10to20>
- <signalLoss2to10>
- <mean>-34.31</mean>
- <stdev>22.59</stdev>
- <sumsq>43354.50</sumsq>
- </signalLoss2to10>
- </Lane>
- <Lane>
- <clusterCountRaw>
- <mean>6268934.50</mean>
- <stdev>241767.87</stdev>
- <sumsq>314805480030044.00</sumsq>
- </clusterCountRaw>
- <laneNumber>3</laneNumber>
- <percentClustersPF>
- <mean>36.04</mean>
- <stdev>12.81</stdev>
- <sumsq>11541.60</sumsq>
- </percentClustersPF>
- <phasingApplied>0.2469</phasingApplied>
- <prephasingApplied>0.2002</prephasingApplied>
- <signalAverage1to3>
- <mean>1094.84</mean>
- <stdev>135.96</stdev>
- <sumsq>9718779.89</sumsq>
- </signalAverage1to3>
- <signalAverage2to4>
- <mean>1114.24</mean>
- <stdev>57.49</stdev>
- <sumsq>9955389.55</sumsq>
- </signalAverage2to4>
- <signalLoss10to20>
- <mean>-4.20</mean>
- <stdev>13.18</stdev>
- <sumsq>1357.57</sumsq>
- </signalLoss10to20>
- <signalLoss2to10>
- <mean>-53.53</mean>
- <stdev>38.21</stdev>
- <sumsq>33143.61</sumsq>
- </signalLoss2to10>
- </Lane>
- <Lane>
- <clusterCountRaw>
- <mean>6055508.12</mean>
- <stdev>166741.39</stdev>
- <sumsq>293548048051419.00</sumsq>
- </clusterCountRaw>
- <laneNumber>4</laneNumber>
- <percentClustersPF>
- <mean>32.69</mean>
- <stdev>7.60</stdev>
- <sumsq>8952.16</sumsq>
- </percentClustersPF>
- <phasingApplied>0.2104</phasingApplied>
- <prephasingApplied>0.1803</prephasingApplied>
- <signalAverage1to3>
- <mean>1106.96</mean>
- <stdev>62.20</stdev>
- <sumsq>9829917.93</sumsq>
- </signalAverage1to3>
- <signalAverage2to4>
- <mean>1036.31</mean>
- <stdev>128.16</stdev>
- <sumsq>8706439.16</sumsq>
- </signalAverage2to4>
- <signalLoss10to20>
- <mean>-9.55</mean>
- <stdev>18.68</stdev>
- <sumsq>3171.25</sumsq>
- </signalLoss10to20>
- <signalLoss2to10>
- <mean>-44.30</mean>
- <stdev>34.27</stdev>
- <sumsq>23924.49</sumsq>
- </signalLoss2to10>
- </Lane>
- <Lane>
- <clusterCountRaw>
- <mean>5643648.67</mean>
- <stdev>137235.86</stdev>
- <sumsq>95589978179428.00</sumsq>
- </clusterCountRaw>
- <laneNumber>5</laneNumber>
- <percentClustersPF>
- <mean>14.96</mean>
- <stdev>10.60</stdev>
- <sumsq>895.87</sumsq>
- </percentClustersPF>
- <phasingApplied>0.0000</phasingApplied>
- <prephasingApplied>0.0000</prephasingApplied>
- <signalAverage1to3>
- <mean>-593.62</mean>
- <stdev>74.55</stdev>
- <sumsq>1068254.69</sumsq>
- </signalAverage1to3>
- <signalAverage2to4>
- <mean>-623.07</mean>
- <stdev>71.93</stdev>
- <sumsq>1174981.61</sumsq>
- </signalAverage2to4>
- <signalLoss10to20>
- <mean>100.00</mean>
- <stdev>0.00</stdev>
- <sumsq>30000.00</sumsq>
- </signalLoss10to20>
- <signalLoss2to10>
- <mean>100.00</mean>
- <stdev>0.00</stdev>
- <sumsq>30000.00</sumsq>
- </signalLoss2to10>
- </Lane>
- <Lane>
- <clusterCountRaw>
- <mean>5707954.48</mean>
- <stdev>553352.88</stdev>
- <sumsq>953415170485172.00</sumsq>
- </clusterCountRaw>
- <laneNumber>6</laneNumber>
- <percentClustersPF>
- <mean>42.22</mean>
- <stdev>22.39</stdev>
- <sumsq>65737.40</sumsq>
- </percentClustersPF>
- <phasingApplied>0.2670</phasingApplied>
- <prephasingApplied>0.2116</prephasingApplied>
- <signalAverage1to3>
- <mean>976.36</mean>
- <stdev>216.47</stdev>
- <sumsq>28956965.77</sumsq>
- </signalAverage1to3>
- <signalAverage2to4>
- <mean>1054.88</mean>
- <stdev>90.27</stdev>
- <sumsq>32498684.57</sumsq>
- </signalAverage2to4>
- <signalLoss10to20>
- <mean>0.20</mean>
- <stdev>0.11</stdev>
- <sumsq>1.47</sumsq>
- </signalLoss10to20>
- <signalLoss2to10>
- <mean>-79.61</mean>
- <stdev>16.62</stdev>
- <sumsq>191509.02</sumsq>
- </signalLoss2to10>
- </Lane>
- <Lane>
- <clusterCountRaw>
- <mean>1867305.95</mean>
- <stdev>444617.44</stdev>
- <sumsq>158236511701682.00</sumsq>
- </clusterCountRaw>
- <laneNumber>7</laneNumber>
- <percentClustersPF>
- <mean>94.84</mean>
- <stdev>11.12</stdev>
- <sumsq>391931.07</sumsq>
- </percentClustersPF>
- <phasingApplied>0.1329</phasingApplied>
- <prephasingApplied>0.2410</prephasingApplied>
- <signalAverage1to3>
- <mean>1399.64</mean>
- <stdev>129.00</stdev>
- <sumsq>84935084.50</sumsq>
- </signalAverage1to3>
- <signalAverage2to4>
- <mean>1377.83</mean>
- <stdev>128.32</stdev>
- <sumsq>82324018.13</sumsq>
- </signalAverage2to4>
- <signalLoss10to20>
- <mean>0.28</mean>
- <stdev>0.09</stdev>
- <sumsq>3.65</sumsq>
- </signalLoss10to20>
- <signalLoss2to10>
- <mean>-4.22</mean>
- <stdev>14.27</stdev>
- <sumsq>9317.43</sumsq>
- </signalLoss2to10>
- </Lane>
- <Lane>
- <clusterCountRaw>
- <mean>4777517.31</mean>
- <stdev>599178.35</stdev>
- <sumsq>1112457930812391.00</sumsq>
- </clusterCountRaw>
- <laneNumber>8</laneNumber>
- <percentClustersPF>
- <mean>86.54</mean>
- <stdev>7.43</stdev>
- <sumsq>362059.12</sumsq>
- </percentClustersPF>
- <phasingApplied>0.2192</phasingApplied>
- <prephasingApplied>0.2346</prephasingApplied>
- <signalAverage1to3>
- <mean>1256.98</mean>
- <stdev>106.05</stdev>
- <sumsq>76368309.15</sumsq>
- </signalAverage1to3>
- <signalAverage2to4>
- <mean>1233.08</mean>
- <stdev>110.91</stdev>
- <sumsq>73561027.92</sumsq>
- </signalAverage2to4>
- <signalLoss10to20>
- <mean>0.63</mean>
- <stdev>0.08</stdev>
- <sumsq>19.47</sumsq>
- </signalLoss10to20>
- <signalLoss2to10>
- <mean>-3.98</mean>
- <stdev>11.04</stdev>
- <sumsq>6489.36</sumsq>
- </signalLoss2to10>
- </Lane>
- <readNumber>1</readNumber>
- </Read>
-
- </ExpandedLaneSummary>
- <LaneResultsSummary>
- <Read>
- <Lane>
- <clusterCountPF>
- <mean>1783290</mean>
- <stdev>789504</stdev>
- <sumsq>105873063750160</sumsq>
- </clusterCountPF>
- <clusterCountRaw>
- <mean>3707807</mean>
- <stdev>573671</stdev>
- <sumsq>393825007132852</sumsq>
- </clusterCountRaw>
- <laneNumber>1</laneNumber>
- <laneYield>2496606</laneYield>
- <oneSig>
- <mean>164</mean>
- <stdev>410</stdev>
- <sumsq>5304965</sumsq>
- </oneSig>
- <percentClustersPF>
- <mean>47.64</mean>
- <stdev>19.64</stdev>
- <sumsq>73957.00</sumsq>
- </percentClustersPF>
- <signal20AsPctOf1>
- <mean>9.00</mean>
- <stdev>22.48</stdev>
- <sumsq>15909.69</sumsq>
- </signal20AsPctOf1>
- </Lane>
- <Lane>
- <clusterCountPF>
- <mean>875778</mean>
- <stdev>826947</stdev>
- <sumsq>37037748584192</sumsq>
- </clusterCountPF>
- <clusterCountRaw>
- <mean>3329777</mean>
- <stdev>1102200</stdev>
- <sumsq>318644092316267</sumsq>
- </clusterCountRaw>
- <laneNumber>2</laneNumber>
- <laneYield>1138512</laneYield>
- <oneSig>
- <mean>702</mean>
- <stdev>480</stdev>
- <sumsq>18627652</sumsq>
- </oneSig>
- <percentClustersPF>
- <mean>24.71</mean>
- <stdev>17.39</stdev>
- <sumsq>23436.66</sumsq>
- </percentClustersPF>
- <signal20AsPctOf1>
- <mean>56.49</mean>
- <stdev>38.83</stdev>
- <sumsq>120674.01</sumsq>
- </signal20AsPctOf1>
- </Lane>
- <Lane>
- <clusterCountPF>
- <mean>2259006</mean>
- <stdev>798869</stdev>
- <sumsq>45292218394019</sumsq>
- </clusterCountPF>
- <clusterCountRaw>
- <mean>6268934</mean>
- <stdev>241767</stdev>
- <sumsq>314805480030044</sumsq>
- </clusterCountRaw>
- <laneNumber>3</laneNumber>
- <laneYield>903602</laneYield>
- <oneSig>
- <mean>1031</mean>
- <stdev>419</stdev>
- <sumsq>9747483</sumsq>
- </oneSig>
- <percentClustersPF>
- <mean>36.04</mean>
- <stdev>12.81</stdev>
- <sumsq>11541.60</sumsq>
- </percentClustersPF>
- <signal20AsPctOf1>
- <mean>75.63</mean>
- <stdev>30.73</stdev>
- <sumsq>52366.46</sumsq>
- </signal20AsPctOf1>
- </Lane>
- <Lane>
- <clusterCountPF>
- <mean>1978985</mean>
- <stdev>462424</stdev>
- <sumsq>32827917903219</sumsq>
- </clusterCountPF>
- <clusterCountRaw>
- <mean>6055508</mean>
- <stdev>166741</stdev>
- <sumsq>293548048051419</sumsq>
- </clusterCountRaw>
- <laneNumber>4</laneNumber>
- <laneYield>791594</laneYield>
- <oneSig>
- <mean>1161</mean>
- <stdev>61</stdev>
- <sumsq>10827946</sumsq>
- </oneSig>
- <percentClustersPF>
- <mean>32.69</mean>
- <stdev>7.60</stdev>
- <sumsq>8952.16</sumsq>
- </percentClustersPF>
- <signal20AsPctOf1>
- <mean>63.64</mean>
- <stdev>39.29</stdev>
- <sumsq>43206.11</sumsq>
- </signal20AsPctOf1>
- </Lane>
- <Lane>
- <clusterCountPF>
- <mean>834976</mean>
- <stdev>570615</stdev>
- <sumsq>2742761639691</sumsq>
- </clusterCountPF>
- <clusterCountRaw>
- <mean>5643648</mean>
- <stdev>137235</stdev>
- <sumsq>95589978179428</sumsq>
- </clusterCountRaw>
- <laneNumber>5</laneNumber>
- <laneYield>125246</laneYield>
- <oneSig>
- <mean>-596</mean>
- <stdev>79</stdev>
- <sumsq>1080823</sumsq>
- </oneSig>
- <percentClustersPF>
- <mean>14.96</mean>
- <stdev>10.60</stdev>
- <sumsq>895.87</sumsq>
- </percentClustersPF>
- <signal20AsPctOf1>
- <mean>147.21</mean>
- <stdev>7.83</stdev>
- <sumsq>65137.15</sumsq>
- </signal20AsPctOf1>
- </Lane>
- <Lane>
- <clusterCountPF>
- <mean>2467696</mean>
- <stdev>1423659</stdev>
- <sumsq>233346910460595</sumsq>
- </clusterCountPF>
- <clusterCountRaw>
- <mean>5707954</mean>
- <stdev>553352</stdev>
- <sumsq>953415170485172</sumsq>
- </clusterCountRaw>
- <laneNumber>6</laneNumber>
- <laneYield>3578160</laneYield>
- <oneSig>
- <mean>820</mean>
- <stdev>521</stdev>
- <sumsq>27135464</sumsq>
- </oneSig>
- <percentClustersPF>
- <mean>42.22</mean>
- <stdev>22.39</stdev>
- <sumsq>65737.40</sumsq>
- </percentClustersPF>
- <signal20AsPctOf1>
- <mean>64.69</mean>
- <stdev>40.68</stdev>
- <sumsq>167697.34</sumsq>
- </signal20AsPctOf1>
- </Lane>
- <Lane>
- <clusterCountPF>
- <mean>1769448</mean>
- <stdev>464939</stdev>
- <sumsq>143709845032850</sumsq>
- </clusterCountPF>
- <clusterCountRaw>
- <mean>1867305</mean>
- <stdev>444617</stdev>
- <sumsq>158236511701682</sumsq>
- </clusterCountRaw>
- <laneNumber>7</laneNumber>
- <laneYield>3804314</laneYield>
- <oneSig>
- <mean>1442</mean>
- <stdev>84</stdev>
- <sumsq>89752104</sumsq>
- </oneSig>
- <percentClustersPF>
- <mean>94.84</mean>
- <stdev>11.12</stdev>
- <sumsq>391931.07</sumsq>
- </percentClustersPF>
- <signal20AsPctOf1>
- <mean>91.96</mean>
- <stdev>1.75</stdev>
- <sumsq>363782.22</sumsq>
- </signal20AsPctOf1>
- </Lane>
- <Lane>
- <clusterCountPF>
- <mean>4113020</mean>
- <stdev>444275</stdev>
- <sumsq>821290075103817</sumsq>
- </clusterCountPF>
- <clusterCountRaw>
- <mean>4777517</mean>
- <stdev>599178</stdev>
- <sumsq>1112457930812391</sumsq>
- </clusterCountRaw>
- <laneNumber>8</laneNumber>
- <laneYield>9871250</laneYield>
- <oneSig>
- <mean>1334</mean>
- <stdev>72</stdev>
- <sumsq>85708238</sumsq>
- </oneSig>
- <percentClustersPF>
- <mean>86.54</mean>
- <stdev>7.43</stdev>
- <sumsq>362059.12</sumsq>
- </percentClustersPF>
- <signal20AsPctOf1>
- <mean>88.24</mean>
- <stdev>1.70</stdev>
- <sumsq>373841.88</sumsq>
- </signal20AsPctOf1>
- </Lane>
- <readNumber>1</readNumber>
- </Read>
-
- </LaneResultsSummary>
- <Software>CASAVA-1.8.1</Software>
- <TileResultsByLane>
- <Lane>
- <Read>
- <Tile>
- <clusterCountPF>2195814</clusterCountPF>
- <clusterCountRaw>3782916</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>58.05</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1101</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2278273</clusterCountPF>
- <clusterCountRaw>3732743</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>61.03</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1102</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4020211</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1103</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3895725</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1104</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4134124</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1105</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4304874</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1106</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4406771</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1107</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4057296</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1108</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2235184</clusterCountPF>
- <clusterCountRaw>3576569</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>62.50</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1201</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2303817</clusterCountPF>
- <clusterCountRaw>3670759</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>62.76</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1202</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2228868</clusterCountPF>
- <clusterCountRaw>3917599</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>56.89</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1203</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4063543</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1204</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4018922</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1205</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2207175</clusterCountPF>
- <clusterCountRaw>4204009</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>52.50</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1206</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4440729</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1207</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>768164</clusterCountPF>
- <clusterCountRaw>3715012</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>20.68</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1208</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2261727</clusterCountPF>
- <clusterCountRaw>3621480</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>62.45</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1301</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2347049</clusterCountPF>
- <clusterCountRaw>3868987</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>60.66</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1302</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4029778</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1303</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4153522</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1304</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4253486</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1305</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>598571</clusterCountPF>
- <clusterCountRaw>1511883</clusterCountRaw>
- <oneSig>1096.02</oneSig>
- <percentClustersPF>39.59</percentClustersPF>
- <signal20AsPctOf1>63.03</signal20AsPctOf1>
- <tileNumber>1306</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4540851</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1307</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>762937</clusterCountPF>
- <clusterCountRaw>3797909</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>20.09</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1308</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2212968</clusterCountPF>
- <clusterCountRaw>3718396</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>59.51</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2101</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2340883</clusterCountPF>
- <clusterCountRaw>3785970</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>61.83</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2102</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2181836</clusterCountPF>
- <clusterCountRaw>3995288</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>54.61</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2103</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4140850</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2104</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>344088</clusterCountPF>
- <clusterCountRaw>3742840</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>9.19</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2105</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4417907</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2106</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>633399</clusterCountPF>
- <clusterCountRaw>3982483</clusterCountRaw>
- <oneSig>1075.65</oneSig>
- <percentClustersPF>15.90</percentClustersPF>
- <signal20AsPctOf1>64.87</signal20AsPctOf1>
- <tileNumber>2107</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4249399</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2108</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2273067</clusterCountPF>
- <clusterCountRaw>3616092</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>62.86</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2201</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2371559</clusterCountPF>
- <clusterCountRaw>3725669</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>63.65</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2202</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2333375</clusterCountPF>
- <clusterCountRaw>3836500</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>60.82</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2203</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2185419</clusterCountPF>
- <clusterCountRaw>3910181</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>55.89</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2204</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2311644</clusterCountPF>
- <clusterCountRaw>4017955</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>57.53</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2205</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4331923</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2206</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2238184</clusterCountPF>
- <clusterCountRaw>4417665</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>50.66</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2207</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4514102</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2208</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2087282</clusterCountPF>
- <clusterCountRaw>3641497</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>57.32</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2301</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2372969</clusterCountPF>
- <clusterCountRaw>3752096</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>63.24</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2302</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2356197</clusterCountPF>
- <clusterCountRaw>3904880</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>60.34</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2303</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>334562</clusterCountPF>
- <clusterCountRaw>2147785</clusterCountRaw>
- <oneSig>1289.76</oneSig>
- <percentClustersPF>15.58</percentClustersPF>
- <signal20AsPctOf1>59.07</signal20AsPctOf1>
- <tileNumber>2304</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>2020376</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2305</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4367266</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2306</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>906827</clusterCountPF>
- <clusterCountRaw>4298608</clusterCountRaw>
- <oneSig>1132.79</oneSig>
- <percentClustersPF>21.10</percentClustersPF>
- <signal20AsPctOf1>65.11</signal20AsPctOf1>
- <tileNumber>2307</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>260294</clusterCountPF>
- <clusterCountRaw>3924829</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>6.63</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2308</tileNumber>
- </Tile>
- <readNumber>1</readNumber>
- </Read>
-
- <laneNumber>1</laneNumber>
- </Lane>
- <Lane>
- <Read>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4448159</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1101</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2773172</clusterCountPF>
- <clusterCountRaw>4366122</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>63.52</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1102</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4564670</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1103</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4585876</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1104</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4635377</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1105</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>669217</clusterCountPF>
- <clusterCountRaw>4420397</clusterCountRaw>
- <oneSig>930.85</oneSig>
- <percentClustersPF>15.14</percentClustersPF>
- <signal20AsPctOf1>76.28</signal20AsPctOf1>
- <tileNumber>1106</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4676917</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1107</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4535868</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1108</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4334415</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1201</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>640314</clusterCountPF>
- <clusterCountRaw>2059919</clusterCountRaw>
- <oneSig>1000.53</oneSig>
- <percentClustersPF>31.08</percentClustersPF>
- <signal20AsPctOf1>85.05</signal20AsPctOf1>
- <tileNumber>1202</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2607069</clusterCountPF>
- <clusterCountRaw>4434379</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>58.79</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1203</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>775741</clusterCountPF>
- <clusterCountRaw>3750712</clusterCountRaw>
- <oneSig>996.69</oneSig>
- <percentClustersPF>20.68</percentClustersPF>
- <signal20AsPctOf1>74.98</signal20AsPctOf1>
- <tileNumber>1204</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>440909</clusterCountPF>
- <clusterCountRaw>4058935</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>10.86</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1205</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>214300</clusterCountPF>
- <clusterCountRaw>1790590</clusterCountRaw>
- <oneSig>927.63</oneSig>
- <percentClustersPF>11.97</percentClustersPF>
- <signal20AsPctOf1>74.32</signal20AsPctOf1>
- <tileNumber>1206</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4699049</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1207</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4541983</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1208</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>504330</clusterCountPF>
- <clusterCountRaw>1946513</clusterCountRaw>
- <oneSig>1041.75</oneSig>
- <percentClustersPF>25.91</percentClustersPF>
- <signal20AsPctOf1>73.96</signal20AsPctOf1>
- <tileNumber>1301</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4553087</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1302</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1143910</clusterCountPF>
- <clusterCountRaw>3886939</clusterCountRaw>
- <oneSig>1001.45</oneSig>
- <percentClustersPF>29.43</percentClustersPF>
- <signal20AsPctOf1>79.86</signal20AsPctOf1>
- <tileNumber>1303</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>394814</clusterCountPF>
- <clusterCountRaw>1620637</clusterCountRaw>
- <oneSig>903.30</oneSig>
- <percentClustersPF>24.36</percentClustersPF>
- <signal20AsPctOf1>85.19</signal20AsPctOf1>
- <tileNumber>1304</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>751155</clusterCountPF>
- <clusterCountRaw>3901741</clusterCountRaw>
- <oneSig>924.69</oneSig>
- <percentClustersPF>19.25</percentClustersPF>
- <signal20AsPctOf1>82.04</signal20AsPctOf1>
- <tileNumber>1305</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>279109</clusterCountPF>
- <clusterCountRaw>4312437</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>6.47</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1306</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4877078</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1307</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4716643</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1308</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>621210</clusterCountPF>
- <clusterCountRaw>2055906</clusterCountRaw>
- <oneSig>1083.69</oneSig>
- <percentClustersPF>30.22</percentClustersPF>
- <signal20AsPctOf1>80.10</signal20AsPctOf1>
- <tileNumber>2101</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4511240</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2102</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>967970</clusterCountPF>
- <clusterCountRaw>4049067</clusterCountRaw>
- <oneSig>1094.71</oneSig>
- <percentClustersPF>23.91</percentClustersPF>
- <signal20AsPctOf1>81.54</signal20AsPctOf1>
- <tileNumber>2103</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>610322</clusterCountPF>
- <clusterCountRaw>4256141</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>14.34</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2104</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>945727</clusterCountPF>
- <clusterCountRaw>4036212</clusterCountRaw>
- <oneSig>1045.43</oneSig>
- <percentClustersPF>23.43</percentClustersPF>
- <signal20AsPctOf1>81.22</signal20AsPctOf1>
- <tileNumber>2105</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4826884</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2106</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4806977</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2107</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4634388</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2108</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>522871</clusterCountPF>
- <clusterCountRaw>3978361</clusterCountRaw>
- <oneSig>991.67</oneSig>
- <percentClustersPF>13.14</percentClustersPF>
- <signal20AsPctOf1>97.22</signal20AsPctOf1>
- <tileNumber>2201</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>699409</clusterCountPF>
- <clusterCountRaw>4040193</clusterCountRaw>
- <oneSig>1042.31</oneSig>
- <percentClustersPF>17.31</percentClustersPF>
- <signal20AsPctOf1>91.73</signal20AsPctOf1>
- <tileNumber>2202</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>234576</clusterCountPF>
- <clusterCountRaw>1982322</clusterCountRaw>
- <oneSig>1097.76</oneSig>
- <percentClustersPF>11.83</percentClustersPF>
- <signal20AsPctOf1>91.23</signal20AsPctOf1>
- <tileNumber>2203</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>312538</clusterCountPF>
- <clusterCountRaw>1846815</clusterCountRaw>
- <oneSig>1060.29</oneSig>
- <percentClustersPF>16.92</percentClustersPF>
- <signal20AsPctOf1>81.85</signal20AsPctOf1>
- <tileNumber>2204</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4877670</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2205</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4352080</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2206</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4565158</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2207</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4595892</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2208</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2688747</clusterCountPF>
- <clusterCountRaw>4326152</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>62.15</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2301</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2702172</clusterCountPF>
- <clusterCountRaw>4401275</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>61.40</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2302</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>375919</clusterCountPF>
- <clusterCountRaw>1897193</clusterCountRaw>
- <oneSig>1064.46</oneSig>
- <percentClustersPF>19.81</percentClustersPF>
- <signal20AsPctOf1>73.90</signal20AsPctOf1>
- <tileNumber>2303</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>170457</clusterCountPF>
- <clusterCountRaw>1856395</clusterCountRaw>
- <oneSig>970.76</oneSig>
- <percentClustersPF>9.18</percentClustersPF>
- <signal20AsPctOf1>86.28</signal20AsPctOf1>
- <tileNumber>2304</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>464174</clusterCountPF>
- <clusterCountRaw>3035669</clusterCountRaw>
- <oneSig>1098.56</oneSig>
- <percentClustersPF>15.29</percentClustersPF>
- <signal20AsPctOf1>72.01</signal20AsPctOf1>
- <tileNumber>2305</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4768558</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2306</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>260108</clusterCountPF>
- <clusterCountRaw>4263201</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>6.10</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2307</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4508484</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2308</tileNumber>
- </Tile>
- <readNumber>1</readNumber>
- </Read>
-
- <laneNumber>2</laneNumber>
- </Lane>
- <Lane>
- <Read>
- <Tile>
- <clusterCountPF>2375385</clusterCountPF>
- <clusterCountRaw>6313330</clusterCountRaw>
- <oneSig>1139.10</oneSig>
- <percentClustersPF>37.62</percentClustersPF>
- <signal20AsPctOf1>85.17</signal20AsPctOf1>
- <tileNumber>1101</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6286613</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1102</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5994999</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1103</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3262679</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1104</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6237718</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1105</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6033743</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1106</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6120542</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1107</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5567004</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1108</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2986982</clusterCountPF>
- <clusterCountRaw>6143687</clusterCountRaw>
- <oneSig>1179.26</oneSig>
- <percentClustersPF>48.62</percentClustersPF>
- <signal20AsPctOf1>83.37</signal20AsPctOf1>
- <tileNumber>1201</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6160371</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1202</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6336417</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1203</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5941459</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1204</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6294748</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1205</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5833916</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1206</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5913050</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1207</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5886712</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1208</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3249310</clusterCountPF>
- <clusterCountRaw>6355086</clusterCountRaw>
- <oneSig>1175.05</oneSig>
- <percentClustersPF>51.13</percentClustersPF>
- <signal20AsPctOf1>86.62</signal20AsPctOf1>
- <tileNumber>1301</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2482602</clusterCountPF>
- <clusterCountRaw>6345936</clusterCountRaw>
- <oneSig>1114.27</oneSig>
- <percentClustersPF>39.12</percentClustersPF>
- <signal20AsPctOf1>86.48</signal20AsPctOf1>
- <tileNumber>1302</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6391130</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1303</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6306326</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1304</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3278126</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1305</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3954980</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1306</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4991640</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1307</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4731299</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1308</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2363698</clusterCountPF>
- <clusterCountRaw>6670949</clusterCountRaw>
- <oneSig>1261.88</oneSig>
- <percentClustersPF>35.43</percentClustersPF>
- <signal20AsPctOf1>82.59</signal20AsPctOf1>
- <tileNumber>2101</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1287696</clusterCountPF>
- <clusterCountRaw>6380853</clusterCountRaw>
- <oneSig>1205.05</oneSig>
- <percentClustersPF>20.18</percentClustersPF>
- <signal20AsPctOf1>87.75</signal20AsPctOf1>
- <tileNumber>2102</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3299242</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2103</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6024321</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2104</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6041139</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2105</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6065842</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2106</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5924388</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2107</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5810177</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2108</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6081345</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2201</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6434511</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2202</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4547035</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2203</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5924309</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2204</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5981859</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2205</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5706415</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2206</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6033825</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2207</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6078240</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2208</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2447011</clusterCountPF>
- <clusterCountRaw>5856223</clusterCountRaw>
- <oneSig>1180.01</oneSig>
- <percentClustersPF>41.78</percentClustersPF>
- <signal20AsPctOf1>93.05</signal20AsPctOf1>
- <tileNumber>2301</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>879365</clusterCountPF>
- <clusterCountRaw>6085412</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>14.45</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2302</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3459940</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2303</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6354552</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2304</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5912596</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2305</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5914029</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2306</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5058019</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2307</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5899621</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2308</tileNumber>
- </Tile>
- <readNumber>1</readNumber>
- </Read>
-
- <laneNumber>3</laneNumber>
- </Lane>
- <Lane>
- <Read>
- <Tile>
- <clusterCountPF>2890389</clusterCountPF>
- <clusterCountRaw>6154619</clusterCountRaw>
- <oneSig>1106.26</oneSig>
- <percentClustersPF>46.96</percentClustersPF>
- <signal20AsPctOf1>84.42</signal20AsPctOf1>
- <tileNumber>1101</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3859115</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1102</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6150759</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1103</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6062610</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1104</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6041213</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1105</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6048818</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1106</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5891349</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1107</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5878432</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1108</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2392573</clusterCountPF>
- <clusterCountRaw>5835186</clusterCountRaw>
- <oneSig>1125.79</oneSig>
- <percentClustersPF>41.00</percentClustersPF>
- <signal20AsPctOf1>83.06</signal20AsPctOf1>
- <tileNumber>1201</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1735497</clusterCountPF>
- <clusterCountRaw>5951872</clusterCountRaw>
- <oneSig>1071.67</oneSig>
- <percentClustersPF>29.16</percentClustersPF>
- <signal20AsPctOf1>86.07</signal20AsPctOf1>
- <tileNumber>1202</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5968968</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1203</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5974093</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1204</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6089365</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1205</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5465613</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1206</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6034569</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1207</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4926479</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1208</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1813170</clusterCountPF>
- <clusterCountRaw>6065205</clusterCountRaw>
- <oneSig>1134.80</oneSig>
- <percentClustersPF>29.89</percentClustersPF>
- <signal20AsPctOf1>83.87</signal20AsPctOf1>
- <tileNumber>1301</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6072760</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1302</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6022433</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1303</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5914380</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1304</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6035108</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1305</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6110769</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1306</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5874705</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1307</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5932065</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1308</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1933417</clusterCountPF>
- <clusterCountRaw>6057448</clusterCountRaw>
- <oneSig>1230.29</oneSig>
- <percentClustersPF>31.92</percentClustersPF>
- <signal20AsPctOf1>85.88</signal20AsPctOf1>
- <tileNumber>2101</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5897444</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2102</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6389435</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2103</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3815684</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2104</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6071732</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2105</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5821758</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2106</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5873744</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2107</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6008801</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2108</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1611899</clusterCountPF>
- <clusterCountRaw>5880262</clusterCountRaw>
- <oneSig>1241.48</oneSig>
- <percentClustersPF>27.41</percentClustersPF>
- <signal20AsPctOf1>0.00</signal20AsPctOf1>
- <tileNumber>2201</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1996737</clusterCountPF>
- <clusterCountRaw>6347857</clusterCountRaw>
- <oneSig>1188.53</oneSig>
- <percentClustersPF>31.46</percentClustersPF>
- <signal20AsPctOf1>0.00</signal20AsPctOf1>
- <tileNumber>2202</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6362861</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2203</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5852976</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2204</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6177697</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2205</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6022917</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2206</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6123053</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2207</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4798958</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2208</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4627342</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2301</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1458201</clusterCountPF>
- <clusterCountRaw>6151616</clusterCountRaw>
- <oneSig>1197.06</oneSig>
- <percentClustersPF>23.70</percentClustersPF>
- <signal20AsPctOf1>85.80</signal20AsPctOf1>
- <tileNumber>2302</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6007566</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2303</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6300233</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2304</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5970238</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2305</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5954738</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2306</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6046864</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2307</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6017839</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2308</tileNumber>
- </Tile>
- <readNumber>1</readNumber>
- </Read>
-
- <laneNumber>4</laneNumber>
- </Lane>
- <Lane>
- <Read>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5631135</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1101</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>2681269</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1102</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>2607227</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1103</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5940868</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1104</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3300266</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1105</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3183165</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1106</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3168588</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1107</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3105604</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1108</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3054041</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1201</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4779051</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1202</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5324239</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1203</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5972215</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1204</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3287230</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1205</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>2762623</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1206</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3156192</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1207</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>2971658</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1208</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>496907</clusterCountPF>
- <clusterCountRaw>5676984</clusterCountRaw>
- <oneSig>-685.71</oneSig>
- <percentClustersPF>8.75</percentClustersPF>
- <signal20AsPctOf1>138.72</signal20AsPctOf1>
- <tileNumber>1301</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5350372</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1302</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5418521</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1303</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5941481</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1304</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3314554</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1305</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3168898</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1306</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3124790</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1307</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3116740</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1308</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1493791</clusterCountPF>
- <clusterCountRaw>5492816</clusterCountRaw>
- <oneSig>-532.02</oneSig>
- <percentClustersPF>27.20</percentClustersPF>
- <signal20AsPctOf1>148.77</signal20AsPctOf1>
- <tileNumber>2101</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>514231</clusterCountPF>
- <clusterCountRaw>5761146</clusterCountRaw>
- <oneSig>-572.34</oneSig>
- <percentClustersPF>8.93</percentClustersPF>
- <signal20AsPctOf1>154.15</signal20AsPctOf1>
- <tileNumber>2102</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3834974</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2103</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6041237</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2104</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3371454</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2105</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3271578</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2106</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3145886</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2107</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>2812963</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2108</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5714487</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2201</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>4323735</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2202</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5689972</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2203</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5590891</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2204</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>2565274</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2205</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3103834</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2206</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>2775071</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2207</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>2721788</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2208</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>2808679</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2301</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5740118</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2302</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>2710478</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2303</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6053923</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2304</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3311585</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2305</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3229925</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2306</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3052698</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2307</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>3161815</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2308</tileNumber>
- </Tile>
- <readNumber>1</readNumber>
- </Read>
-
- <laneNumber>5</laneNumber>
- </Lane>
- <Lane>
- <Read>
- <Tile>
- <clusterCountPF>4328250</clusterCountPF>
- <clusterCountRaw>6108747</clusterCountRaw>
- <oneSig>1170.17</oneSig>
- <percentClustersPF>70.85</percentClustersPF>
- <signal20AsPctOf1>85.98</signal20AsPctOf1>
- <tileNumber>1101</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3763550</clusterCountPF>
- <clusterCountRaw>5974162</clusterCountRaw>
- <oneSig>1171.51</oneSig>
- <percentClustersPF>63.00</percentClustersPF>
- <signal20AsPctOf1>85.49</signal20AsPctOf1>
- <tileNumber>1102</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3376849</clusterCountPF>
- <clusterCountRaw>5986042</clusterCountRaw>
- <oneSig>1127.66</oneSig>
- <percentClustersPF>56.41</percentClustersPF>
- <signal20AsPctOf1>86.28</signal20AsPctOf1>
- <tileNumber>1103</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1454678</clusterCountPF>
- <clusterCountRaw>5553026</clusterCountRaw>
- <oneSig>1038.63</oneSig>
- <percentClustersPF>26.20</percentClustersPF>
- <signal20AsPctOf1>90.35</signal20AsPctOf1>
- <tileNumber>1104</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>836786</clusterCountPF>
- <clusterCountRaw>5751374</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>14.55</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1105</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1008081</clusterCountPF>
- <clusterCountRaw>5436595</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>18.54</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1106</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1089073</clusterCountPF>
- <clusterCountRaw>4720242</clusterCountRaw>
- <oneSig>970.77</oneSig>
- <percentClustersPF>23.07</percentClustersPF>
- <signal20AsPctOf1>87.99</signal20AsPctOf1>
- <tileNumber>1107</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5628492</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1108</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4255350</clusterCountPF>
- <clusterCountRaw>6074637</clusterCountRaw>
- <oneSig>1111.85</oneSig>
- <percentClustersPF>70.05</percentClustersPF>
- <signal20AsPctOf1>90.15</signal20AsPctOf1>
- <tileNumber>1201</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3764335</clusterCountPF>
- <clusterCountRaw>5992750</clusterCountRaw>
- <oneSig>1122.60</oneSig>
- <percentClustersPF>62.81</percentClustersPF>
- <signal20AsPctOf1>87.23</signal20AsPctOf1>
- <tileNumber>1202</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2949541</clusterCountPF>
- <clusterCountRaw>5863819</clusterCountRaw>
- <oneSig>1041.75</oneSig>
- <percentClustersPF>50.30</percentClustersPF>
- <signal20AsPctOf1>91.25</signal20AsPctOf1>
- <tileNumber>1203</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1960969</clusterCountPF>
- <clusterCountRaw>5759754</clusterCountRaw>
- <oneSig>985.74</oneSig>
- <percentClustersPF>34.05</percentClustersPF>
- <signal20AsPctOf1>94.16</signal20AsPctOf1>
- <tileNumber>1204</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1458718</clusterCountPF>
- <clusterCountRaw>5348340</clusterCountRaw>
- <oneSig>973.95</oneSig>
- <percentClustersPF>27.27</percentClustersPF>
- <signal20AsPctOf1>92.07</signal20AsPctOf1>
- <tileNumber>1205</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6188127</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1206</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6029568</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1207</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5783284</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1208</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4164137</clusterCountPF>
- <clusterCountRaw>6062113</clusterCountRaw>
- <oneSig>1111.15</oneSig>
- <percentClustersPF>68.69</percentClustersPF>
- <signal20AsPctOf1>90.64</signal20AsPctOf1>
- <tileNumber>1301</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3807278</clusterCountPF>
- <clusterCountRaw>6009706</clusterCountRaw>
- <oneSig>1103.05</oneSig>
- <percentClustersPF>63.35</percentClustersPF>
- <signal20AsPctOf1>89.93</signal20AsPctOf1>
- <tileNumber>1302</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2646889</clusterCountPF>
- <clusterCountRaw>5860357</clusterCountRaw>
- <oneSig>1047.72</oneSig>
- <percentClustersPF>45.17</percentClustersPF>
- <signal20AsPctOf1>91.04</signal20AsPctOf1>
- <tileNumber>1303</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>618116</clusterCountPF>
- <clusterCountRaw>5936009</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>10.41</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1304</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>966704</clusterCountPF>
- <clusterCountRaw>5780730</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>16.72</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1305</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>985185</clusterCountPF>
- <clusterCountRaw>5442490</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>18.10</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1306</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5865063</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1307</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5759999</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>1308</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4457818</clusterCountPF>
- <clusterCountRaw>6178104</clusterCountRaw>
- <oneSig>1290.91</oneSig>
- <percentClustersPF>72.16</percentClustersPF>
- <signal20AsPctOf1>87.89</signal20AsPctOf1>
- <tileNumber>2101</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4135701</clusterCountPF>
- <clusterCountRaw>6067338</clusterCountRaw>
- <oneSig>1270.47</oneSig>
- <percentClustersPF>68.16</percentClustersPF>
- <signal20AsPctOf1>87.91</signal20AsPctOf1>
- <tileNumber>2102</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3142805</clusterCountPF>
- <clusterCountRaw>5915123</clusterCountRaw>
- <oneSig>1190.65</oneSig>
- <percentClustersPF>53.13</percentClustersPF>
- <signal20AsPctOf1>91.67</signal20AsPctOf1>
- <tileNumber>2103</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2857800</clusterCountPF>
- <clusterCountRaw>5959413</clusterCountRaw>
- <oneSig>1192.35</oneSig>
- <percentClustersPF>47.95</percentClustersPF>
- <signal20AsPctOf1>88.82</signal20AsPctOf1>
- <tileNumber>2104</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1231733</clusterCountPF>
- <clusterCountRaw>5733754</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>21.48</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2105</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>2633715</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2106</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>719661</clusterCountPF>
- <clusterCountRaw>5147810</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>13.98</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2107</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5662637</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2108</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5811788</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2201</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5919142</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2202</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5921326</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2203</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5683685</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2204</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5369472</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2205</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5594894</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2206</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5888075</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2207</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5533822</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2208</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4347658</clusterCountPF>
- <clusterCountRaw>6149228</clusterCountRaw>
- <oneSig>1270.97</oneSig>
- <percentClustersPF>70.70</percentClustersPF>
- <signal20AsPctOf1>87.57</signal20AsPctOf1>
- <tileNumber>2301</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3927517</clusterCountPF>
- <clusterCountRaw>6038155</clusterCountRaw>
- <oneSig>1260.11</oneSig>
- <percentClustersPF>65.04</percentClustersPF>
- <signal20AsPctOf1>88.09</signal20AsPctOf1>
- <tileNumber>2302</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1031548</clusterCountPF>
- <clusterCountRaw>3463054</clusterCountRaw>
- <oneSig>1223.05</oneSig>
- <percentClustersPF>29.79</percentClustersPF>
- <signal20AsPctOf1>88.74</signal20AsPctOf1>
- <tileNumber>2303</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>464073</clusterCountPF>
- <clusterCountRaw>6006755</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>7.73</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2304</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1812404</clusterCountPF>
- <clusterCountRaw>5211053</clusterCountRaw>
- <oneSig>1109.48</oneSig>
- <percentClustersPF>34.78</percentClustersPF>
- <signal20AsPctOf1>92.72</signal20AsPctOf1>
- <tileNumber>2305</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>6128662</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2306</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5927816</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2307</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>5684780</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2308</tileNumber>
- </Tile>
- <readNumber>1</readNumber>
- </Read>
-
- <laneNumber>6</laneNumber>
- </Lane>
- <Lane>
- <Read>
- <Tile>
- <clusterCountPF>1290892</clusterCountPF>
- <clusterCountRaw>1318384</clusterCountRaw>
- <oneSig>1457.61</oneSig>
- <percentClustersPF>97.91</percentClustersPF>
- <signal20AsPctOf1>93.12</signal20AsPctOf1>
- <tileNumber>1101</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1405177</clusterCountPF>
- <clusterCountRaw>1435753</clusterCountRaw>
- <oneSig>1428.15</oneSig>
- <percentClustersPF>97.87</percentClustersPF>
- <signal20AsPctOf1>93.14</signal20AsPctOf1>
- <tileNumber>1102</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1518681</clusterCountPF>
- <clusterCountRaw>1553867</clusterCountRaw>
- <oneSig>1415.45</oneSig>
- <percentClustersPF>97.74</percentClustersPF>
- <signal20AsPctOf1>93.14</signal20AsPctOf1>
- <tileNumber>1103</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1674083</clusterCountPF>
- <clusterCountRaw>1713366</clusterCountRaw>
- <oneSig>1397.13</oneSig>
- <percentClustersPF>97.71</percentClustersPF>
- <signal20AsPctOf1>91.75</signal20AsPctOf1>
- <tileNumber>1104</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1848975</clusterCountPF>
- <clusterCountRaw>1894031</clusterCountRaw>
- <oneSig>1453.02</oneSig>
- <percentClustersPF>97.62</percentClustersPF>
- <signal20AsPctOf1>87.65</signal20AsPctOf1>
- <tileNumber>1105</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2036288</clusterCountPF>
- <clusterCountRaw>2089577</clusterCountRaw>
- <oneSig>1351.03</oneSig>
- <percentClustersPF>97.45</percentClustersPF>
- <signal20AsPctOf1>92.96</signal20AsPctOf1>
- <tileNumber>1106</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2235825</clusterCountPF>
- <clusterCountRaw>2300996</clusterCountRaw>
- <oneSig>1330.80</oneSig>
- <percentClustersPF>97.17</percentClustersPF>
- <signal20AsPctOf1>92.09</signal20AsPctOf1>
- <tileNumber>1107</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2451380</clusterCountPF>
- <clusterCountRaw>2541307</clusterCountRaw>
- <oneSig>1293.67</oneSig>
- <percentClustersPF>96.46</percentClustersPF>
- <signal20AsPctOf1>91.71</signal20AsPctOf1>
- <tileNumber>1108</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1248007</clusterCountPF>
- <clusterCountRaw>1271398</clusterCountRaw>
- <oneSig>1456.86</oneSig>
- <percentClustersPF>98.16</percentClustersPF>
- <signal20AsPctOf1>92.75</signal20AsPctOf1>
- <tileNumber>1201</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1353214</clusterCountPF>
- <clusterCountRaw>1379519</clusterCountRaw>
- <oneSig>1373.11</oneSig>
- <percentClustersPF>98.09</percentClustersPF>
- <signal20AsPctOf1>92.92</signal20AsPctOf1>
- <tileNumber>1202</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1476775</clusterCountPF>
- <clusterCountRaw>1506069</clusterCountRaw>
- <oneSig>1406.85</oneSig>
- <percentClustersPF>98.05</percentClustersPF>
- <signal20AsPctOf1>92.17</signal20AsPctOf1>
- <tileNumber>1203</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1596576</clusterCountPF>
- <clusterCountRaw>1629689</clusterCountRaw>
- <oneSig>1395.32</oneSig>
- <percentClustersPF>97.97</percentClustersPF>
- <signal20AsPctOf1>90.76</signal20AsPctOf1>
- <tileNumber>1204</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1802357</clusterCountPF>
- <clusterCountRaw>1838238</clusterCountRaw>
- <oneSig>1383.42</oneSig>
- <percentClustersPF>98.05</percentClustersPF>
- <signal20AsPctOf1>91.84</signal20AsPctOf1>
- <tileNumber>1205</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1985501</clusterCountPF>
- <clusterCountRaw>2028373</clusterCountRaw>
- <oneSig>1355.39</oneSig>
- <percentClustersPF>97.89</percentClustersPF>
- <signal20AsPctOf1>91.43</signal20AsPctOf1>
- <tileNumber>1206</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2182408</clusterCountPF>
- <clusterCountRaw>2237640</clusterCountRaw>
- <oneSig>1326.23</oneSig>
- <percentClustersPF>97.53</percentClustersPF>
- <signal20AsPctOf1>91.95</signal20AsPctOf1>
- <tileNumber>1207</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2412726</clusterCountPF>
- <clusterCountRaw>2498414</clusterCountRaw>
- <oneSig>1284.50</oneSig>
- <percentClustersPF>96.57</percentClustersPF>
- <signal20AsPctOf1>91.14</signal20AsPctOf1>
- <tileNumber>1208</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1329553</clusterCountPF>
- <clusterCountRaw>1353194</clusterCountRaw>
- <oneSig>1500.38</oneSig>
- <percentClustersPF>98.25</percentClustersPF>
- <signal20AsPctOf1>90.00</signal20AsPctOf1>
- <tileNumber>1301</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1448646</clusterCountPF>
- <clusterCountRaw>1475015</clusterCountRaw>
- <oneSig>1426.92</oneSig>
- <percentClustersPF>98.21</percentClustersPF>
- <signal20AsPctOf1>91.04</signal20AsPctOf1>
- <tileNumber>1302</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1584849</clusterCountPF>
- <clusterCountRaw>1618578</clusterCountRaw>
- <oneSig>1418.87</oneSig>
- <percentClustersPF>97.92</percentClustersPF>
- <signal20AsPctOf1>90.98</signal20AsPctOf1>
- <tileNumber>1303</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1703358</clusterCountPF>
- <clusterCountRaw>1738426</clusterCountRaw>
- <oneSig>1408.33</oneSig>
- <percentClustersPF>97.98</percentClustersPF>
- <signal20AsPctOf1>90.65</signal20AsPctOf1>
- <tileNumber>1304</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1962537</clusterCountPF>
- <clusterCountRaw>2003605</clusterCountRaw>
- <oneSig>1417.26</oneSig>
- <percentClustersPF>97.95</percentClustersPF>
- <signal20AsPctOf1>88.90</signal20AsPctOf1>
- <tileNumber>1305</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2155571</clusterCountPF>
- <clusterCountRaw>2205956</clusterCountRaw>
- <oneSig>1353.91</oneSig>
- <percentClustersPF>97.72</percentClustersPF>
- <signal20AsPctOf1>91.89</signal20AsPctOf1>
- <tileNumber>1306</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2371794</clusterCountPF>
- <clusterCountRaw>2438582</clusterCountRaw>
- <oneSig>1349.40</oneSig>
- <percentClustersPF>97.26</percentClustersPF>
- <signal20AsPctOf1>87.65</signal20AsPctOf1>
- <tileNumber>1307</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2609442</clusterCountPF>
- <clusterCountRaw>2697578</clusterCountRaw>
- <oneSig>1273.05</oneSig>
- <percentClustersPF>96.73</percentClustersPF>
- <signal20AsPctOf1>89.13</signal20AsPctOf1>
- <tileNumber>1308</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1274462</clusterCountPF>
- <clusterCountRaw>1301586</clusterCountRaw>
- <oneSig>1601.86</oneSig>
- <percentClustersPF>97.92</percentClustersPF>
- <signal20AsPctOf1>92.97</signal20AsPctOf1>
- <tileNumber>2101</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1383611</clusterCountPF>
- <clusterCountRaw>1413798</clusterCountRaw>
- <oneSig>1567.26</oneSig>
- <percentClustersPF>97.86</percentClustersPF>
- <signal20AsPctOf1>92.72</signal20AsPctOf1>
- <tileNumber>2102</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1500886</clusterCountPF>
- <clusterCountRaw>1538148</clusterCountRaw>
- <oneSig>1575.16</oneSig>
- <percentClustersPF>97.58</percentClustersPF>
- <signal20AsPctOf1>91.30</signal20AsPctOf1>
- <tileNumber>2103</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1658029</clusterCountPF>
- <clusterCountRaw>1695613</clusterCountRaw>
- <oneSig>1551.84</oneSig>
- <percentClustersPF>97.78</percentClustersPF>
- <signal20AsPctOf1>92.03</signal20AsPctOf1>
- <tileNumber>2104</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1833421</clusterCountPF>
- <clusterCountRaw>1876931</clusterCountRaw>
- <oneSig>1525.11</oneSig>
- <percentClustersPF>97.68</percentClustersPF>
- <signal20AsPctOf1>92.43</signal20AsPctOf1>
- <tileNumber>2105</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2026973</clusterCountPF>
- <clusterCountRaw>2078853</clusterCountRaw>
- <oneSig>1509.17</oneSig>
- <percentClustersPF>97.50</percentClustersPF>
- <signal20AsPctOf1>91.91</signal20AsPctOf1>
- <tileNumber>2106</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2259381</clusterCountPF>
- <clusterCountRaw>2325032</clusterCountRaw>
- <oneSig>1467.69</oneSig>
- <percentClustersPF>97.18</percentClustersPF>
- <signal20AsPctOf1>92.25</signal20AsPctOf1>
- <tileNumber>2107</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2558255</clusterCountPF>
- <clusterCountRaw>2655400</clusterCountRaw>
- <oneSig>1444.06</oneSig>
- <percentClustersPF>96.34</percentClustersPF>
- <signal20AsPctOf1>91.44</signal20AsPctOf1>
- <tileNumber>2108</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>970653</clusterCountPF>
- <clusterCountRaw>1235179</clusterCountRaw>
- <oneSig>1584.09</oneSig>
- <percentClustersPF>78.58</percentClustersPF>
- <signal20AsPctOf1>93.93</signal20AsPctOf1>
- <tileNumber>2201</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>1342455</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2202</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>1465297</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2203</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>675140</clusterCountPF>
- <clusterCountRaw>1582751</clusterCountRaw>
- <oneSig>1505.46</oneSig>
- <percentClustersPF>42.66</percentClustersPF>
- <signal20AsPctOf1>94.13</signal20AsPctOf1>
- <tileNumber>2204</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>1775056</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2205</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>1957270</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2206</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>0</clusterCountPF>
- <clusterCountRaw>2164043</clusterCountRaw>
- <oneSig>0.00</oneSig>
- <percentClustersPF>0.00</percentClustersPF>
- <signal20AsPctOf1>N/A</signal20AsPctOf1>
- <tileNumber>2207</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1254733</clusterCountPF>
- <clusterCountRaw>2441653</clusterCountRaw>
- <oneSig>1444.53</oneSig>
- <percentClustersPF>51.39</percentClustersPF>
- <signal20AsPctOf1>93.17</signal20AsPctOf1>
- <tileNumber>2208</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1296622</clusterCountPF>
- <clusterCountRaw>1325781</clusterCountRaw>
- <oneSig>1494.17</oneSig>
- <percentClustersPF>97.80</percentClustersPF>
- <signal20AsPctOf1>98.31</signal20AsPctOf1>
- <tileNumber>2301</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1424658</clusterCountPF>
- <clusterCountRaw>1452340</clusterCountRaw>
- <oneSig>1528.87</oneSig>
- <percentClustersPF>98.09</percentClustersPF>
- <signal20AsPctOf1>93.49</signal20AsPctOf1>
- <tileNumber>2302</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1569437</clusterCountPF>
- <clusterCountRaw>1602067</clusterCountRaw>
- <oneSig>1539.36</oneSig>
- <percentClustersPF>97.96</percentClustersPF>
- <signal20AsPctOf1>93.10</signal20AsPctOf1>
- <tileNumber>2303</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1682427</clusterCountPF>
- <clusterCountRaw>1720505</clusterCountRaw>
- <oneSig>1521.03</oneSig>
- <percentClustersPF>97.79</percentClustersPF>
- <signal20AsPctOf1>92.61</signal20AsPctOf1>
- <tileNumber>2304</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>1939141</clusterCountPF>
- <clusterCountRaw>1979800</clusterCountRaw>
- <oneSig>1523.67</oneSig>
- <percentClustersPF>97.95</percentClustersPF>
- <signal20AsPctOf1>91.62</signal20AsPctOf1>
- <tileNumber>2305</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2134547</clusterCountPF>
- <clusterCountRaw>2184095</clusterCountRaw>
- <oneSig>1486.10</oneSig>
- <percentClustersPF>97.73</percentClustersPF>
- <signal20AsPctOf1>92.33</signal20AsPctOf1>
- <tileNumber>2306</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2356389</clusterCountPF>
- <clusterCountRaw>2421537</clusterCountRaw>
- <oneSig>1466.46</oneSig>
- <percentClustersPF>97.31</percentClustersPF>
- <signal20AsPctOf1>91.63</signal20AsPctOf1>
- <tileNumber>2307</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2602908</clusterCountPF>
- <clusterCountRaw>2695532</clusterCountRaw>
- <oneSig>1428.19</oneSig>
- <percentClustersPF>96.56</percentClustersPF>
- <signal20AsPctOf1>92.25</signal20AsPctOf1>
- <tileNumber>2308</tileNumber>
- </Tile>
- <readNumber>1</readNumber>
- </Read>
-
- <laneNumber>7</laneNumber>
- </Lane>
- <Lane>
- <Read>
- <Tile>
- <clusterCountPF>3672425</clusterCountPF>
- <clusterCountRaw>3999929</clusterCountRaw>
- <oneSig>1359.39</oneSig>
- <percentClustersPF>91.81</percentClustersPF>
- <signal20AsPctOf1>88.45</signal20AsPctOf1>
- <tileNumber>1101</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3843360</clusterCountPF>
- <clusterCountRaw>4214896</clusterCountRaw>
- <oneSig>1338.54</oneSig>
- <percentClustersPF>91.19</percentClustersPF>
- <signal20AsPctOf1>88.01</signal20AsPctOf1>
- <tileNumber>1102</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3985275</clusterCountPF>
- <clusterCountRaw>4432069</clusterCountRaw>
- <oneSig>1321.41</oneSig>
- <percentClustersPF>89.92</percentClustersPF>
- <signal20AsPctOf1>88.40</signal20AsPctOf1>
- <tileNumber>1103</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4195701</clusterCountPF>
- <clusterCountRaw>4688257</clusterCountRaw>
- <oneSig>1298.99</oneSig>
- <percentClustersPF>89.49</percentClustersPF>
- <signal20AsPctOf1>87.97</signal20AsPctOf1>
- <tileNumber>1104</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4416383</clusterCountPF>
- <clusterCountRaw>4972645</clusterCountRaw>
- <oneSig>1283.87</oneSig>
- <percentClustersPF>88.81</percentClustersPF>
- <signal20AsPctOf1>88.72</signal20AsPctOf1>
- <tileNumber>1105</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4542437</clusterCountPF>
- <clusterCountRaw>5209248</clusterCountRaw>
- <oneSig>1258.05</oneSig>
- <percentClustersPF>87.20</percentClustersPF>
- <signal20AsPctOf1>87.14</signal20AsPctOf1>
- <tileNumber>1106</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4596548</clusterCountPF>
- <clusterCountRaw>5399922</clusterCountRaw>
- <oneSig>1230.54</oneSig>
- <percentClustersPF>85.12</percentClustersPF>
- <signal20AsPctOf1>87.31</signal20AsPctOf1>
- <tileNumber>1107</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4316902</clusterCountPF>
- <clusterCountRaw>5826697</clusterCountRaw>
- <oneSig>1182.73</oneSig>
- <percentClustersPF>74.09</percentClustersPF>
- <signal20AsPctOf1>87.01</signal20AsPctOf1>
- <tileNumber>1108</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3559633</clusterCountPF>
- <clusterCountRaw>3873994</clusterCountRaw>
- <oneSig>1365.15</oneSig>
- <percentClustersPF>91.89</percentClustersPF>
- <signal20AsPctOf1>87.07</signal20AsPctOf1>
- <tileNumber>1201</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3742085</clusterCountPF>
- <clusterCountRaw>4103838</clusterCountRaw>
- <oneSig>1345.87</oneSig>
- <percentClustersPF>91.19</percentClustersPF>
- <signal20AsPctOf1>87.69</signal20AsPctOf1>
- <tileNumber>1202</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3809926</clusterCountPF>
- <clusterCountRaw>4219389</clusterCountRaw>
- <oneSig>1314.55</oneSig>
- <percentClustersPF>90.30</percentClustersPF>
- <signal20AsPctOf1>88.34</signal20AsPctOf1>
- <tileNumber>1203</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4095946</clusterCountPF>
- <clusterCountRaw>4572435</clusterCountRaw>
- <oneSig>1296.18</oneSig>
- <percentClustersPF>89.58</percentClustersPF>
- <signal20AsPctOf1>88.12</signal20AsPctOf1>
- <tileNumber>1204</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4329806</clusterCountPF>
- <clusterCountRaw>4852097</clusterCountRaw>
- <oneSig>1291.90</oneSig>
- <percentClustersPF>89.24</percentClustersPF>
- <signal20AsPctOf1>87.70</signal20AsPctOf1>
- <tileNumber>1205</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4484284</clusterCountPF>
- <clusterCountRaw>5103542</clusterCountRaw>
- <oneSig>1271.54</oneSig>
- <percentClustersPF>87.87</percentClustersPF>
- <signal20AsPctOf1>86.33</signal20AsPctOf1>
- <tileNumber>1206</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4545978</clusterCountPF>
- <clusterCountRaw>5322851</clusterCountRaw>
- <oneSig>1240.07</oneSig>
- <percentClustersPF>85.40</percentClustersPF>
- <signal20AsPctOf1>86.60</signal20AsPctOf1>
- <tileNumber>1207</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4236437</clusterCountPF>
- <clusterCountRaw>5399609</clusterCountRaw>
- <oneSig>1200.52</oneSig>
- <percentClustersPF>78.46</percentClustersPF>
- <signal20AsPctOf1>82.29</signal20AsPctOf1>
- <tileNumber>1208</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3745093</clusterCountPF>
- <clusterCountRaw>4091803</clusterCountRaw>
- <oneSig>1377.26</oneSig>
- <percentClustersPF>91.53</percentClustersPF>
- <signal20AsPctOf1>85.86</signal20AsPctOf1>
- <tileNumber>1301</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3938377</clusterCountPF>
- <clusterCountRaw>4338397</clusterCountRaw>
- <oneSig>1338.33</oneSig>
- <percentClustersPF>90.78</percentClustersPF>
- <signal20AsPctOf1>87.63</signal20AsPctOf1>
- <tileNumber>1302</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3963514</clusterCountPF>
- <clusterCountRaw>4395406</clusterCountRaw>
- <oneSig>1308.84</oneSig>
- <percentClustersPF>90.17</percentClustersPF>
- <signal20AsPctOf1>88.08</signal20AsPctOf1>
- <tileNumber>1303</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4282045</clusterCountPF>
- <clusterCountRaw>4835601</clusterCountRaw>
- <oneSig>1287.81</oneSig>
- <percentClustersPF>88.55</percentClustersPF>
- <signal20AsPctOf1>87.58</signal20AsPctOf1>
- <tileNumber>1304</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4498474</clusterCountPF>
- <clusterCountRaw>5114668</clusterCountRaw>
- <oneSig>1282.81</oneSig>
- <percentClustersPF>87.95</percentClustersPF>
- <signal20AsPctOf1>87.46</signal20AsPctOf1>
- <tileNumber>1305</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4602295</clusterCountPF>
- <clusterCountRaw>5337911</clusterCountRaw>
- <oneSig>1257.03</oneSig>
- <percentClustersPF>86.22</percentClustersPF>
- <signal20AsPctOf1>86.97</signal20AsPctOf1>
- <tileNumber>1306</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4600782</clusterCountPF>
- <clusterCountRaw>5501477</clusterCountRaw>
- <oneSig>1225.51</oneSig>
- <percentClustersPF>83.63</percentClustersPF>
- <signal20AsPctOf1>86.53</signal20AsPctOf1>
- <tileNumber>1307</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4145380</clusterCountPF>
- <clusterCountRaw>5872929</clusterCountRaw>
- <oneSig>1175.25</oneSig>
- <percentClustersPF>70.58</percentClustersPF>
- <signal20AsPctOf1>83.85</signal20AsPctOf1>
- <tileNumber>1308</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3654318</clusterCountPF>
- <clusterCountRaw>3969110</clusterCountRaw>
- <oneSig>1467.08</oneSig>
- <percentClustersPF>92.07</percentClustersPF>
- <signal20AsPctOf1>90.01</signal20AsPctOf1>
- <tileNumber>2101</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3839864</clusterCountPF>
- <clusterCountRaw>4184268</clusterCountRaw>
- <oneSig>1439.99</oneSig>
- <percentClustersPF>91.77</percentClustersPF>
- <signal20AsPctOf1>90.66</signal20AsPctOf1>
- <tileNumber>2102</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3969051</clusterCountPF>
- <clusterCountRaw>4413583</clusterCountRaw>
- <oneSig>1422.63</oneSig>
- <percentClustersPF>89.93</percentClustersPF>
- <signal20AsPctOf1>90.66</signal20AsPctOf1>
- <tileNumber>2103</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4219627</clusterCountPF>
- <clusterCountRaw>4681613</clusterCountRaw>
- <oneSig>1403.97</oneSig>
- <percentClustersPF>90.13</percentClustersPF>
- <signal20AsPctOf1>90.49</signal20AsPctOf1>
- <tileNumber>2104</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4414065</clusterCountPF>
- <clusterCountRaw>4956383</clusterCountRaw>
- <oneSig>1386.15</oneSig>
- <percentClustersPF>89.06</percentClustersPF>
- <signal20AsPctOf1>89.95</signal20AsPctOf1>
- <tileNumber>2105</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4579204</clusterCountPF>
- <clusterCountRaw>5232590</clusterCountRaw>
- <oneSig>1365.53</oneSig>
- <percentClustersPF>87.51</percentClustersPF>
- <signal20AsPctOf1>89.26</signal20AsPctOf1>
- <tileNumber>2106</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4682961</clusterCountPF>
- <clusterCountRaw>5469205</clusterCountRaw>
- <oneSig>1333.32</oneSig>
- <percentClustersPF>85.62</percentClustersPF>
- <signal20AsPctOf1>89.03</signal20AsPctOf1>
- <tileNumber>2107</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3928926</clusterCountPF>
- <clusterCountRaw>5870004</clusterCountRaw>
- <oneSig>1286.80</oneSig>
- <percentClustersPF>66.93</percentClustersPF>
- <signal20AsPctOf1>87.34</signal20AsPctOf1>
- <tileNumber>2108</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3556282</clusterCountPF>
- <clusterCountRaw>3852699</clusterCountRaw>
- <oneSig>1457.50</oneSig>
- <percentClustersPF>92.31</percentClustersPF>
- <signal20AsPctOf1>88.49</signal20AsPctOf1>
- <tileNumber>2201</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3741136</clusterCountPF>
- <clusterCountRaw>4072130</clusterCountRaw>
- <oneSig>1441.42</oneSig>
- <percentClustersPF>91.87</percentClustersPF>
- <signal20AsPctOf1>89.42</signal20AsPctOf1>
- <tileNumber>2202</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3842742</clusterCountPF>
- <clusterCountRaw>4212391</clusterCountRaw>
- <oneSig>1415.97</oneSig>
- <percentClustersPF>91.22</percentClustersPF>
- <signal20AsPctOf1>89.95</signal20AsPctOf1>
- <tileNumber>2203</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4140127</clusterCountPF>
- <clusterCountRaw>4577001</clusterCountRaw>
- <oneSig>1387.43</oneSig>
- <percentClustersPF>90.46</percentClustersPF>
- <signal20AsPctOf1>89.88</signal20AsPctOf1>
- <tileNumber>2204</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4372303</clusterCountPF>
- <clusterCountRaw>4862284</clusterCountRaw>
- <oneSig>1384.77</oneSig>
- <percentClustersPF>89.92</percentClustersPF>
- <signal20AsPctOf1>88.76</signal20AsPctOf1>
- <tileNumber>2205</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4531801</clusterCountPF>
- <clusterCountRaw>5119662</clusterCountRaw>
- <oneSig>1367.26</oneSig>
- <percentClustersPF>88.52</percentClustersPF>
- <signal20AsPctOf1>88.81</signal20AsPctOf1>
- <tileNumber>2206</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4148375</clusterCountPF>
- <clusterCountRaw>5301292</clusterCountRaw>
- <oneSig>1326.28</oneSig>
- <percentClustersPF>78.25</percentClustersPF>
- <signal20AsPctOf1>89.46</signal20AsPctOf1>
- <tileNumber>2207</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3747919</clusterCountPF>
- <clusterCountRaw>5523881</clusterCountRaw>
- <oneSig>1328.04</oneSig>
- <percentClustersPF>67.85</percentClustersPF>
- <signal20AsPctOf1>85.54</signal20AsPctOf1>
- <tileNumber>2208</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3685991</clusterCountPF>
- <clusterCountRaw>4034260</clusterCountRaw>
- <oneSig>1437.04</oneSig>
- <percentClustersPF>91.37</percentClustersPF>
- <signal20AsPctOf1>88.87</signal20AsPctOf1>
- <tileNumber>2301</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3894450</clusterCountPF>
- <clusterCountRaw>4285846</clusterCountRaw>
- <oneSig>1425.73</oneSig>
- <percentClustersPF>90.87</percentClustersPF>
- <signal20AsPctOf1>89.86</signal20AsPctOf1>
- <tileNumber>2302</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>3941822</clusterCountPF>
- <clusterCountRaw>4382141</clusterCountRaw>
- <oneSig>1397.98</oneSig>
- <percentClustersPF>89.95</percentClustersPF>
- <signal20AsPctOf1>90.41</signal20AsPctOf1>
- <tileNumber>2303</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4299760</clusterCountPF>
- <clusterCountRaw>4825173</clusterCountRaw>
- <oneSig>1380.92</oneSig>
- <percentClustersPF>89.11</percentClustersPF>
- <signal20AsPctOf1>89.99</signal20AsPctOf1>
- <tileNumber>2304</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4523197</clusterCountPF>
- <clusterCountRaw>5101827</clusterCountRaw>
- <oneSig>1374.81</oneSig>
- <percentClustersPF>88.66</percentClustersPF>
- <signal20AsPctOf1>89.72</signal20AsPctOf1>
- <tileNumber>2305</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4658536</clusterCountPF>
- <clusterCountRaw>5357124</clusterCountRaw>
- <oneSig>1362.66</oneSig>
- <percentClustersPF>86.96</percentClustersPF>
- <signal20AsPctOf1>88.93</signal20AsPctOf1>
- <tileNumber>2306</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>4706753</clusterCountPF>
- <clusterCountRaw>5569616</clusterCountRaw>
- <oneSig>1336.27</oneSig>
- <percentClustersPF>84.51</percentClustersPF>
- <signal20AsPctOf1>89.15</signal20AsPctOf1>
- <tileNumber>2307</tileNumber>
- </Tile>
- <Tile>
- <clusterCountPF>2196707</clusterCountPF>
- <clusterCountRaw>3787138</clusterCountRaw>
- <oneSig>1265.29</oneSig>
- <percentClustersPF>58.00</percentClustersPF>
- <signal20AsPctOf1>89.55</signal20AsPctOf1>
- <tileNumber>2308</tileNumber>
- </Tile>
- <readNumber>1</readNumber>
- </Read>
-
- <laneNumber>8</laneNumber>
- </Lane>
- </TileResultsByLane>
-</BustardSummary>
+++ /dev/null
-<?xml version="1.0" encoding="utf-8"?>\r
-<BaseCallAnalysis xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema">\r
- <Run Name="BaseCalls">\r
- <BaseCallParameters>\r
- <ChastityThreshold>0.6</ChastityThreshold>\r
- <Matrix Path="">\r
- <AutoFlag>2</AutoFlag>\r
- <AutoLane>0</AutoLane>\r
- <Cycle>1</Cycle>\r
- <CycleOffset>0</CycleOffset>\r
- <FirstCycle>1</FirstCycle>\r
- <LastCycle>50</LastCycle>\r
- <Read>1</Read>\r
- </Matrix>\r
- <Matrix Path="">\r
- <AutoFlag>2</AutoFlag>\r
- <AutoLane>0</AutoLane>\r
- <Cycle>51</Cycle>\r
- <CycleOffset>0</CycleOffset>\r
- <FirstCycle>51</FirstCycle>\r
- <LastCycle>57</LastCycle>\r
- <Read>2</Read>\r
- </Matrix>\r
- <Phasing Path="">\r
- <AutoFlag>2</AutoFlag>\r
- <AutoLane>0</AutoLane>\r
- <Cycle>2</Cycle>\r
- <CycleOffset>1</CycleOffset>\r
- <FirstCycle>1</FirstCycle>\r
- <LastCycle>50</LastCycle>\r
- <Read>1</Read>\r
- <PhasingRate>0</PhasingRate>\r
- <PrephasingRate>0</PrephasingRate>\r
- </Phasing>\r
- <Phasing Path="">\r
- <AutoFlag>2</AutoFlag>\r
- <AutoLane>0</AutoLane>\r
- <Cycle>52</Cycle>\r
- <CycleOffset>1</CycleOffset>\r
- <FirstCycle>51</FirstCycle>\r
- <LastCycle>57</LastCycle>\r
- <Read>2</Read>\r
- <PhasingRate>0</PhasingRate>\r
- <PrephasingRate>0</PrephasingRate>\r
- </Phasing>\r
- <PureBases>0</PureBases>\r
- <SmtFilter>failed-chastity</SmtFilter>\r
- <SmtRelation>le</SmtRelation>\r
- <SmtThreshold>1.0</SmtThreshold>\r
- </BaseCallParameters>\r
- <Cycles First="1" Last="57" Number="57" />\r
- <Input />\r
- <RunParameters>\r
- <AutoCycleFlag>0</AutoCycleFlag>\r
- <BasecallFlag>0</BasecallFlag>\r
- <Deblocked>0</Deblocked>\r
- <DebugFlag>0</DebugFlag>\r
- <FirstRunOnlyFlag>0</FirstRunOnlyFlag>\r
- <ImagingReads Index="1">\r
- <FirstCycle>1</FirstCycle>\r
- <LastCycle>50</LastCycle>\r
- </ImagingReads>\r
- <ImagingReads Index="2">\r
- <FirstCycle>51</FirstCycle>\r
- <LastCycle>57</LastCycle>\r
- <RunFolder>110815_SN787_0101_AD07K6ACXX</RunFolder>\r
- </ImagingReads>\r
- <Instrument>HWI-ST0787</Instrument>\r
- <IterativeMatrixFlag>0</IterativeMatrixFlag>\r
- <MakeFlag>0</MakeFlag>\r
- <MaxCycle>0</MaxCycle>\r
- <MinCycle>0</MinCycle>\r
- <Reads Index="1">\r
- <FirstCycle>1</FirstCycle>\r
- <LastCycle>50</LastCycle>\r
- </Reads>\r
- <Reads Index="2">\r
- <FirstCycle>51</FirstCycle>\r
- <LastCycle>57</LastCycle>\r
- <RunFolder>110815_SN787_0101_AD07K6ACXX</RunFolder>\r
- </Reads>\r
- <RunFolder>110815_SN787_0101_AD07K6ACXX</RunFolder>\r
- <RunFolderDate>110815</RunFolderDate>\r
- <RunFolderId>0101</RunFolderId>\r
- <RunFlowcellId>D07K6ACXX</RunFlowcellId>\r
- <Barcode>\r
- <Cycle Use="true">51</Cycle>\r
- <Cycle Use="true">52</Cycle>\r
- <Cycle Use="true">53</Cycle>\r
- <Cycle Use="true">54</Cycle>\r
- <Cycle Use="true">55</Cycle>\r
- <Cycle Use="true">56</Cycle>\r
- <Cycle Use="true">57</Cycle>\r
- </Barcode>\r
- <QTableVersion>New6</QTableVersion>\r
- </RunParameters>\r
- <Software Name="RTA" Version="1.12.4.2" />\r
- <TileSelection>\r
- <Lane Index="1">\r
- <Sample>s</Sample>\r
- <Tile>1102</Tile>\r
- <Tile>1101</Tile>\r
- <Tile>1103</Tile>\r
- <Tile>1106</Tile>\r
- <Tile>1104</Tile>\r
- <Tile>1105</Tile>\r
- <Tile>1108</Tile>\r
- <Tile>1107</Tile>\r
- <Tile>1202</Tile>\r
- <Tile>1201</Tile>\r
- <Tile>1206</Tile>\r
- <Tile>1204</Tile>\r
- <Tile>1203</Tile>\r
- <Tile>1205</Tile>\r
- <Tile>1302</Tile>\r
- <Tile>1208</Tile>\r
- <Tile>1207</Tile>\r
- <Tile>1301</Tile>\r
- <Tile>1306</Tile>\r
- <Tile>1304</Tile>\r
- <Tile>1305</Tile>\r
- <Tile>2102</Tile>\r
- <Tile>1303</Tile>\r
- <Tile>1308</Tile>\r
- <Tile>2101</Tile>\r
- <Tile>1307</Tile>\r
- <Tile>2106</Tile>\r
- <Tile>2104</Tile>\r
- <Tile>2105</Tile>\r
- <Tile>2103</Tile>\r
- <Tile>2202</Tile>\r
- <Tile>2108</Tile>\r
- <Tile>2201</Tile>\r
- <Tile>2206</Tile>\r
- <Tile>2107</Tile>\r
- <Tile>2205</Tile>\r
- <Tile>2204</Tile>\r
- <Tile>2203</Tile>\r
- <Tile>2302</Tile>\r
- <Tile>2301</Tile>\r
- <Tile>2208</Tile>\r
- <Tile>2306</Tile>\r
- <Tile>2207</Tile>\r
- <Tile>2305</Tile>\r
- <Tile>2303</Tile>\r
- <Tile>2304</Tile>\r
- <Tile>2308</Tile>\r
- <Tile>2307</Tile>\r
- </Lane>\r
- <Lane Index="2">\r
- <Sample>s</Sample>\r
- <Tile>1101</Tile>\r
- <Tile>1102</Tile>\r
- <Tile>1105</Tile>\r
- <Tile>1106</Tile>\r
- <Tile>1104</Tile>\r
- <Tile>1103</Tile>\r
- <Tile>1201</Tile>\r
- <Tile>1202</Tile>\r
- <Tile>1108</Tile>\r
- <Tile>1206</Tile>\r
- <Tile>1107</Tile>\r
- <Tile>1205</Tile>\r
- <Tile>1302</Tile>\r
- <Tile>1204</Tile>\r
- <Tile>1301</Tile>\r
- <Tile>1203</Tile>\r
- <Tile>1208</Tile>\r
- <Tile>1306</Tile>\r
- <Tile>1305</Tile>\r
- <Tile>1207</Tile>\r
- <Tile>1304</Tile>\r
- <Tile>2101</Tile>\r
- <Tile>2102</Tile>\r
- <Tile>1308</Tile>\r
- <Tile>2105</Tile>\r
- <Tile>1303</Tile>\r
- <Tile>2201</Tile>\r
- <Tile>2106</Tile>\r
- <Tile>2104</Tile>\r
- <Tile>1307</Tile>\r
- <Tile>2205</Tile>\r
- <Tile>2202</Tile>\r
- <Tile>2108</Tile>\r
- <Tile>2206</Tile>\r
- <Tile>2103</Tile>\r
- <Tile>2301</Tile>\r
- <Tile>2204</Tile>\r
- <Tile>2208</Tile>\r
- <Tile>2107</Tile>\r
- <Tile>2302</Tile>\r
- <Tile>2305</Tile>\r
- <Tile>2304</Tile>\r
- <Tile>2203</Tile>\r
- <Tile>2306</Tile>\r
- <Tile>2308</Tile>\r
- <Tile>2207</Tile>\r
- <Tile>2303</Tile>\r
- <Tile>2307</Tile>\r
- </Lane>\r
- <Lane Index="3">\r
- <Sample>s</Sample>\r
- <Tile>1101</Tile>\r
- <Tile>1102</Tile>\r
- <Tile>1105</Tile>\r
- <Tile>1104</Tile>\r
- <Tile>1108</Tile>\r
- <Tile>1106</Tile>\r
- <Tile>1201</Tile>\r
- <Tile>1103</Tile>\r
- <Tile>1204</Tile>\r
- <Tile>1202</Tile>\r
- <Tile>1205</Tile>\r
- <Tile>1107</Tile>\r
- <Tile>1208</Tile>\r
- <Tile>1206</Tile>\r
- <Tile>1301</Tile>\r
- <Tile>1304</Tile>\r
- <Tile>1203</Tile>\r
- <Tile>1302</Tile>\r
- <Tile>1308</Tile>\r
- <Tile>1305</Tile>\r
- <Tile>1207</Tile>\r
- <Tile>2101</Tile>\r
- <Tile>2104</Tile>\r
- <Tile>1306</Tile>\r
- <Tile>1303</Tile>\r
- <Tile>2102</Tile>\r
- <Tile>2105</Tile>\r
- <Tile>2108</Tile>\r
- <Tile>1307</Tile>\r
- <Tile>2106</Tile>\r
- <Tile>2204</Tile>\r
- <Tile>2201</Tile>\r
- <Tile>2103</Tile>\r
- <Tile>2208</Tile>\r
- <Tile>2202</Tile>\r
- <Tile>2107</Tile>\r
- <Tile>2205</Tile>\r
- <Tile>2301</Tile>\r
- <Tile>2304</Tile>\r
- <Tile>2203</Tile>\r
- <Tile>2206</Tile>\r
- <Tile>2207</Tile>\r
- <Tile>2305</Tile>\r
- <Tile>2308</Tile>\r
- <Tile>2302</Tile>\r
- <Tile>2303</Tile>\r
- <Tile>2307</Tile>\r
- <Tile>2306</Tile>\r
- </Lane>\r
- <Lane Index="4">\r
- <Sample>s</Sample>\r
- <Tile>1101</Tile>\r
- <Tile>1104</Tile>\r
- <Tile>1103</Tile>\r
- <Tile>1102</Tile>\r
- <Tile>1108</Tile>\r
- <Tile>1105</Tile>\r
- <Tile>1107</Tile>\r
- <Tile>1106</Tile>\r
- <Tile>1204</Tile>\r
- <Tile>1201</Tile>\r
- <Tile>1203</Tile>\r
- <Tile>1202</Tile>\r
- <Tile>1208</Tile>\r
- <Tile>1205</Tile>\r
- <Tile>1207</Tile>\r
- <Tile>1206</Tile>\r
- <Tile>1304</Tile>\r
- <Tile>1301</Tile>\r
- <Tile>1302</Tile>\r
- <Tile>1308</Tile>\r
- <Tile>1303</Tile>\r
- <Tile>1305</Tile>\r
- <Tile>1306</Tile>\r
- <Tile>1307</Tile>\r
- <Tile>2104</Tile>\r
- <Tile>2101</Tile>\r
- <Tile>2108</Tile>\r
- <Tile>2102</Tile>\r
- <Tile>2103</Tile>\r
- <Tile>2105</Tile>\r
- <Tile>2204</Tile>\r
- <Tile>2106</Tile>\r
- <Tile>2107</Tile>\r
- <Tile>2201</Tile>\r
- <Tile>2208</Tile>\r
- <Tile>2202</Tile>\r
- <Tile>2203</Tile>\r
- <Tile>2304</Tile>\r
- <Tile>2205</Tile>\r
- <Tile>2206</Tile>\r
- <Tile>2207</Tile>\r
- <Tile>2308</Tile>\r
- <Tile>2301</Tile>\r
- <Tile>2302</Tile>\r
- <Tile>2303</Tile>\r
- <Tile>2305</Tile>\r
- <Tile>2307</Tile>\r
- <Tile>2306</Tile>\r
- </Lane>\r
- <Lane Index="5">\r
- <Sample>s</Sample>\r
- <Tile>1104</Tile>\r
- <Tile>1108</Tile>\r
- <Tile>1101</Tile>\r
- <Tile>1204</Tile>\r
- <Tile>1102</Tile>\r
- <Tile>1103</Tile>\r
- <Tile>1106</Tile>\r
- <Tile>1105</Tile>\r
- <Tile>1107</Tile>\r
- <Tile>1208</Tile>\r
- <Tile>1201</Tile>\r
- <Tile>1202</Tile>\r
- <Tile>1203</Tile>\r
- <Tile>1304</Tile>\r
- <Tile>1205</Tile>\r
- <Tile>1206</Tile>\r
- <Tile>1301</Tile>\r
- <Tile>1308</Tile>\r
- <Tile>1207</Tile>\r
- <Tile>1302</Tile>\r
- <Tile>2104</Tile>\r
- <Tile>1303</Tile>\r
- <Tile>1305</Tile>\r
- <Tile>1306</Tile>\r
- <Tile>2101</Tile>\r
- <Tile>2102</Tile>\r
- <Tile>1307</Tile>\r
- <Tile>2108</Tile>\r
- <Tile>2204</Tile>\r
- <Tile>2103</Tile>\r
- <Tile>2105</Tile>\r
- <Tile>2107</Tile>\r
- <Tile>2106</Tile>\r
- <Tile>2201</Tile>\r
- <Tile>2208</Tile>\r
- <Tile>2203</Tile>\r
- <Tile>2202</Tile>\r
- <Tile>2304</Tile>\r
- <Tile>2206</Tile>\r
- <Tile>2205</Tile>\r
- <Tile>2207</Tile>\r
- <Tile>2302</Tile>\r
- <Tile>2301</Tile>\r
- <Tile>2303</Tile>\r
- <Tile>2308</Tile>\r
- <Tile>2305</Tile>\r
- <Tile>2307</Tile>\r
- <Tile>2306</Tile>\r
- </Lane>\r
- <Lane Index="6">\r
- <Sample>s</Sample>\r
- <Tile>1104</Tile>\r
- <Tile>1101</Tile>\r
- <Tile>1103</Tile>\r
- <Tile>1102</Tile>\r
- <Tile>1108</Tile>\r
- <Tile>1107</Tile>\r
- <Tile>1105</Tile>\r
- <Tile>1106</Tile>\r
- <Tile>1204</Tile>\r
- <Tile>1203</Tile>\r
- <Tile>1201</Tile>\r
- <Tile>1202</Tile>\r
- <Tile>1208</Tile>\r
- <Tile>1207</Tile>\r
- <Tile>1205</Tile>\r
- <Tile>1206</Tile>\r
- <Tile>1304</Tile>\r
- <Tile>1303</Tile>\r
- <Tile>1301</Tile>\r
- <Tile>1302</Tile>\r
- <Tile>1308</Tile>\r
- <Tile>1307</Tile>\r
- <Tile>1305</Tile>\r
- <Tile>2104</Tile>\r
- <Tile>1306</Tile>\r
- <Tile>2103</Tile>\r
- <Tile>2101</Tile>\r
- <Tile>2102</Tile>\r
- <Tile>2108</Tile>\r
- <Tile>2107</Tile>\r
- <Tile>2105</Tile>\r
- <Tile>2106</Tile>\r
- <Tile>2204</Tile>\r
- <Tile>2203</Tile>\r
- <Tile>2202</Tile>\r
- <Tile>2201</Tile>\r
- <Tile>2208</Tile>\r
- <Tile>2207</Tile>\r
- <Tile>2206</Tile>\r
- <Tile>2205</Tile>\r
- <Tile>2304</Tile>\r
- <Tile>2303</Tile>\r
- <Tile>2302</Tile>\r
- <Tile>2301</Tile>\r
- <Tile>2307</Tile>\r
- <Tile>2308</Tile>\r
- <Tile>2306</Tile>\r
- <Tile>2305</Tile>\r
- </Lane>\r
- <Lane Index="7">\r
- <Sample>s</Sample>\r
- <Tile>1103</Tile>\r
- <Tile>1107</Tile>\r
- <Tile>1104</Tile>\r
- <Tile>1108</Tile>\r
- <Tile>1203</Tile>\r
- <Tile>1101</Tile>\r
- <Tile>1102</Tile>\r
- <Tile>1204</Tile>\r
- <Tile>1105</Tile>\r
- <Tile>1207</Tile>\r
- <Tile>1106</Tile>\r
- <Tile>1208</Tile>\r
- <Tile>1201</Tile>\r
- <Tile>1202</Tile>\r
- <Tile>1303</Tile>\r
- <Tile>1205</Tile>\r
- <Tile>1206</Tile>\r
- <Tile>1307</Tile>\r
- <Tile>1304</Tile>\r
- <Tile>1301</Tile>\r
- <Tile>1302</Tile>\r
- <Tile>1305</Tile>\r
- <Tile>1308</Tile>\r
- <Tile>2103</Tile>\r
- <Tile>1306</Tile>\r
- <Tile>2101</Tile>\r
- <Tile>2107</Tile>\r
- <Tile>2104</Tile>\r
- <Tile>2105</Tile>\r
- <Tile>2102</Tile>\r
- <Tile>2108</Tile>\r
- <Tile>2203</Tile>\r
- <Tile>2201</Tile>\r
- <Tile>2106</Tile>\r
- <Tile>2205</Tile>\r
- <Tile>2207</Tile>\r
- <Tile>2202</Tile>\r
- <Tile>2204</Tile>\r
- <Tile>2301</Tile>\r
- <Tile>2303</Tile>\r
- <Tile>2206</Tile>\r
- <Tile>2208</Tile>\r
- <Tile>2305</Tile>\r
- <Tile>2307</Tile>\r
- <Tile>2302</Tile>\r
- <Tile>2304</Tile>\r
- <Tile>2306</Tile>\r
- <Tile>2308</Tile>\r
- </Lane>\r
- <Lane Index="8">\r
- <Sample>s</Sample>\r
- <Tile>1101</Tile>\r
- <Tile>1103</Tile>\r
- <Tile>1102</Tile>\r
- <Tile>1105</Tile>\r
- <Tile>1107</Tile>\r
- <Tile>1104</Tile>\r
- <Tile>1106</Tile>\r
- <Tile>1201</Tile>\r
- <Tile>1108</Tile>\r
- <Tile>1203</Tile>\r
- <Tile>1202</Tile>\r
- <Tile>1205</Tile>\r
- <Tile>1207</Tile>\r
- <Tile>1204</Tile>\r
- <Tile>1206</Tile>\r
- <Tile>1301</Tile>\r
- <Tile>1208</Tile>\r
- <Tile>1303</Tile>\r
- <Tile>1302</Tile>\r
- <Tile>1305</Tile>\r
- <Tile>1307</Tile>\r
- <Tile>1304</Tile>\r
- <Tile>1306</Tile>\r
- <Tile>2101</Tile>\r
- <Tile>1308</Tile>\r
- <Tile>2103</Tile>\r
- <Tile>2105</Tile>\r
- <Tile>2102</Tile>\r
- <Tile>2107</Tile>\r
- <Tile>2106</Tile>\r
- <Tile>2104</Tile>\r
- <Tile>2201</Tile>\r
- <Tile>2205</Tile>\r
- <Tile>2202</Tile>\r
- <Tile>2203</Tile>\r
- <Tile>2108</Tile>\r
- <Tile>2206</Tile>\r
- <Tile>2301</Tile>\r
- <Tile>2207</Tile>\r
- <Tile>2204</Tile>\r
- <Tile>2305</Tile>\r
- <Tile>2302</Tile>\r
- <Tile>2303</Tile>\r
- <Tile>2208</Tile>\r
- <Tile>2306</Tile>\r
- <Tile>2307</Tile>\r
- <Tile>2304</Tile>\r
- <Tile>2308</Tile>\r
- </Lane>\r
- </TileSelection>\r
- <Time />\r
- <User />\r
- </Run>\r
-</BaseCallAnalysis>
\ No newline at end of file
+++ /dev/null
-<?xml version="1.0" encoding="utf-8"?>\r
-<ImageAnalysis xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema">\r
- <Run Name="Intensities">\r
- <Cycles First="1" Last="57" Number="57" />\r
- <ImageParameters>\r
- <AutoOffsetFlag>0</AutoOffsetFlag>\r
- <AutoSizeFlag>0</AutoSizeFlag>\r
- <Fwhm>0</Fwhm>\r
- <RemappingDistance>0</RemappingDistance>\r
- <Threshold>0</Threshold>\r
- </ImageParameters>\r
- <RunParameters>\r
- <AutoCycleFlag>0</AutoCycleFlag>\r
- <BasecallFlag>0</BasecallFlag>\r
- <Deblocked>0</Deblocked>\r
- <DebugFlag>0</DebugFlag>\r
- <FirstRunOnlyFlag>0</FirstRunOnlyFlag>\r
- <ImagingReads Index="1">\r
- <FirstCycle>1</FirstCycle>\r
- <LastCycle>50</LastCycle>\r
- <RunFolder>110815_SN787_0101_AD07K6ACXX</RunFolder>\r
- </ImagingReads>\r
- <ImagingReads Index="2">\r
- <FirstCycle>51</FirstCycle>\r
- <LastCycle>57</LastCycle>\r
- <RunFolder>110815_SN787_0101_AD07K6ACXX</RunFolder>\r
- </ImagingReads>\r
- <Instrument>HWI-ST0787</Instrument>\r
- <IterativeMatrixFlag>0</IterativeMatrixFlag>\r
- <MakeFlag>0</MakeFlag>\r
- <MaxCycle>0</MaxCycle>\r
- <MinCycle>0</MinCycle>\r
- <Reads Index="1">\r
- <FirstCycle>1</FirstCycle>\r
- <LastCycle>50</LastCycle>\r
- <RunFolder>110815_SN787_0101_AD07K6ACXX</RunFolder>\r
- </Reads>\r
- <Reads Index="2">\r
- <FirstCycle>51</FirstCycle>\r
- <LastCycle>57</LastCycle>\r
- <RunFolder>110815_SN787_0101_AD07K6ACXX</RunFolder>\r
- </Reads>\r
- <RunFolder>110815_SN787_0101_AD07K6ACXX</RunFolder>\r
- <RunFolderDate>110815</RunFolderDate>\r
- <RunFolderId>0101</RunFolderId>\r
- <RunFlowcellId>D07K6ACXX</RunFlowcellId>\r
- <Barcode>\r
- <Cycle Use="true">51</Cycle>\r
- <Cycle Use="true">52</Cycle>\r
- <Cycle Use="true">53</Cycle>\r
- <Cycle Use="true">54</Cycle>\r
- <Cycle Use="true">55</Cycle>\r
- <Cycle Use="true">56</Cycle>\r
- <Cycle Use="true">57</Cycle>\r
- </Barcode>\r
- <QTableVersion>New6</QTableVersion>\r
- </RunParameters>\r
- <Software Name="RTA" Version="1.12.4.2" />\r
- <TileSelection>\r
- <Lane Index="1">\r
- <Sample>s</Sample>\r
- <Tile>1101</Tile>\r
- <Tile>1102</Tile>\r
- <Tile>1104</Tile>\r
- <Tile>1103</Tile>\r
- <Tile>1106</Tile>\r
- <Tile>1105</Tile>\r
- <Tile>1108</Tile>\r
- <Tile>1107</Tile>\r
- <Tile>1201</Tile>\r
- <Tile>1204</Tile>\r
- <Tile>1202</Tile>\r
- <Tile>1205</Tile>\r
- <Tile>1206</Tile>\r
- <Tile>1208</Tile>\r
- <Tile>1301</Tile>\r
- <Tile>1302</Tile>\r
- <Tile>1304</Tile>\r
- <Tile>1203</Tile>\r
- <Tile>1305</Tile>\r
- <Tile>1306</Tile>\r
- <Tile>1308</Tile>\r
- <Tile>2102</Tile>\r
- <Tile>2101</Tile>\r
- <Tile>1207</Tile>\r
- <Tile>2105</Tile>\r
- <Tile>2106</Tile>\r
- <Tile>2104</Tile>\r
- <Tile>1303</Tile>\r
- <Tile>2201</Tile>\r
- <Tile>2202</Tile>\r
- <Tile>1307</Tile>\r
- <Tile>2206</Tile>\r
- <Tile>2205</Tile>\r
- <Tile>2108</Tile>\r
- <Tile>2302</Tile>\r
- <Tile>2103</Tile>\r
- <Tile>2301</Tile>\r
- <Tile>2204</Tile>\r
- <Tile>2305</Tile>\r
- <Tile>2107</Tile>\r
- <Tile>2203</Tile>\r
- <Tile>2208</Tile>\r
- <Tile>2306</Tile>\r
- <Tile>2207</Tile>\r
- <Tile>2304</Tile>\r
- <Tile>2303</Tile>\r
- <Tile>2308</Tile>\r
- <Tile>2307</Tile>\r
- </Lane>\r
- <Lane Index="2">\r
- <Sample>s</Sample>\r
- <Tile>1101</Tile>\r
- <Tile>1105</Tile>\r
- <Tile>1102</Tile>\r
- <Tile>1106</Tile>\r
- <Tile>1201</Tile>\r
- <Tile>1103</Tile>\r
- <Tile>1104</Tile>\r
- <Tile>1202</Tile>\r
- <Tile>1205</Tile>\r
- <Tile>1107</Tile>\r
- <Tile>1206</Tile>\r
- <Tile>1108</Tile>\r
- <Tile>1203</Tile>\r
- <Tile>1302</Tile>\r
- <Tile>1204</Tile>\r
- <Tile>1301</Tile>\r
- <Tile>1208</Tile>\r
- <Tile>1207</Tile>\r
- <Tile>1305</Tile>\r
- <Tile>1306</Tile>\r
- <Tile>1304</Tile>\r
- <Tile>2101</Tile>\r
- <Tile>1303</Tile>\r
- <Tile>2102</Tile>\r
- <Tile>1308</Tile>\r
- <Tile>2105</Tile>\r
- <Tile>1307</Tile>\r
- <Tile>2106</Tile>\r
- <Tile>2201</Tile>\r
- <Tile>2104</Tile>\r
- <Tile>2103</Tile>\r
- <Tile>2202</Tile>\r
- <Tile>2205</Tile>\r
- <Tile>2107</Tile>\r
- <Tile>2108</Tile>\r
- <Tile>2206</Tile>\r
- <Tile>2301</Tile>\r
- <Tile>2203</Tile>\r
- <Tile>2204</Tile>\r
- <Tile>2208</Tile>\r
- <Tile>2207</Tile>\r
- <Tile>2302</Tile>\r
- <Tile>2305</Tile>\r
- <Tile>2303</Tile>\r
- <Tile>2304</Tile>\r
- <Tile>2306</Tile>\r
- <Tile>2307</Tile>\r
- <Tile>2308</Tile>\r
- </Lane>\r
- <Lane Index="3">\r
- <Sample>s</Sample>\r
- <Tile>1101</Tile>\r
- <Tile>1103</Tile>\r
- <Tile>1102</Tile>\r
- <Tile>1104</Tile>\r
- <Tile>1105</Tile>\r
- <Tile>1106</Tile>\r
- <Tile>1107</Tile>\r
- <Tile>1108</Tile>\r
- <Tile>1201</Tile>\r
- <Tile>1204</Tile>\r
- <Tile>1202</Tile>\r
- <Tile>1203</Tile>\r
- <Tile>1205</Tile>\r
- <Tile>1206</Tile>\r
- <Tile>1207</Tile>\r
- <Tile>1208</Tile>\r
- <Tile>1302</Tile>\r
- <Tile>1301</Tile>\r
- <Tile>1303</Tile>\r
- <Tile>1304</Tile>\r
- <Tile>1306</Tile>\r
- <Tile>1305</Tile>\r
- <Tile>1308</Tile>\r
- <Tile>2101</Tile>\r
- <Tile>2102</Tile>\r
- <Tile>2105</Tile>\r
- <Tile>1307</Tile>\r
- <Tile>2104</Tile>\r
- <Tile>2106</Tile>\r
- <Tile>2201</Tile>\r
- <Tile>2108</Tile>\r
- <Tile>2103</Tile>\r
- <Tile>2107</Tile>\r
- <Tile>2202</Tile>\r
- <Tile>2205</Tile>\r
- <Tile>2204</Tile>\r
- <Tile>2301</Tile>\r
- <Tile>2206</Tile>\r
- <Tile>2305</Tile>\r
- <Tile>2203</Tile>\r
- <Tile>2208</Tile>\r
- <Tile>2302</Tile>\r
- <Tile>2207</Tile>\r
- <Tile>2304</Tile>\r
- <Tile>2306</Tile>\r
- <Tile>2303</Tile>\r
- <Tile>2308</Tile>\r
- <Tile>2307</Tile>\r
- </Lane>\r
- <Lane Index="4">\r
- <Sample>s</Sample>\r
- <Tile>1101</Tile>\r
- <Tile>1105</Tile>\r
- <Tile>1201</Tile>\r
- <Tile>1102</Tile>\r
- <Tile>1106</Tile>\r
- <Tile>1205</Tile>\r
- <Tile>1104</Tile>\r
- <Tile>1202</Tile>\r
- <Tile>1103</Tile>\r
- <Tile>1301</Tile>\r
- <Tile>1206</Tile>\r
- <Tile>1108</Tile>\r
- <Tile>1107</Tile>\r
- <Tile>1305</Tile>\r
- <Tile>1302</Tile>\r
- <Tile>2101</Tile>\r
- <Tile>1203</Tile>\r
- <Tile>1306</Tile>\r
- <Tile>1204</Tile>\r
- <Tile>1207</Tile>\r
- <Tile>2102</Tile>\r
- <Tile>1208</Tile>\r
- <Tile>2105</Tile>\r
- <Tile>1303</Tile>\r
- <Tile>2106</Tile>\r
- <Tile>1304</Tile>\r
- <Tile>2201</Tile>\r
- <Tile>1307</Tile>\r
- <Tile>1308</Tile>\r
- <Tile>2202</Tile>\r
- <Tile>2103</Tile>\r
- <Tile>2104</Tile>\r
- <Tile>2205</Tile>\r
- <Tile>2206</Tile>\r
- <Tile>2302</Tile>\r
- <Tile>2108</Tile>\r
- <Tile>2301</Tile>\r
- <Tile>2107</Tile>\r
- <Tile>2305</Tile>\r
- <Tile>2306</Tile>\r
- <Tile>2204</Tile>\r
- <Tile>2203</Tile>\r
- <Tile>2208</Tile>\r
- <Tile>2207</Tile>\r
- <Tile>2303</Tile>\r
- <Tile>2304</Tile>\r
- <Tile>2308</Tile>\r
- <Tile>2307</Tile>\r
- </Lane>\r
- <Lane Index="5">\r
- <Sample>s</Sample>\r
- <Tile>1102</Tile>\r
- <Tile>1101</Tile>\r
- <Tile>1106</Tile>\r
- <Tile>1105</Tile>\r
- <Tile>1202</Tile>\r
- <Tile>1201</Tile>\r
- <Tile>1205</Tile>\r
- <Tile>1206</Tile>\r
- <Tile>1301</Tile>\r
- <Tile>1104</Tile>\r
- <Tile>1302</Tile>\r
- <Tile>1103</Tile>\r
- <Tile>1108</Tile>\r
- <Tile>1305</Tile>\r
- <Tile>1306</Tile>\r
- <Tile>1107</Tile>\r
- <Tile>2102</Tile>\r
- <Tile>1203</Tile>\r
- <Tile>1204</Tile>\r
- <Tile>2101</Tile>\r
- <Tile>2106</Tile>\r
- <Tile>1207</Tile>\r
- <Tile>2202</Tile>\r
- <Tile>1303</Tile>\r
- <Tile>1208</Tile>\r
- <Tile>2105</Tile>\r
- <Tile>2201</Tile>\r
- <Tile>1304</Tile>\r
- <Tile>1307</Tile>\r
- <Tile>2206</Tile>\r
- <Tile>2103</Tile>\r
- <Tile>2205</Tile>\r
- <Tile>2302</Tile>\r
- <Tile>2107</Tile>\r
- <Tile>1308</Tile>\r
- <Tile>2301</Tile>\r
- <Tile>2203</Tile>\r
- <Tile>2104</Tile>\r
- <Tile>2305</Tile>\r
- <Tile>2207</Tile>\r
- <Tile>2108</Tile>\r
- <Tile>2306</Tile>\r
- <Tile>2303</Tile>\r
- <Tile>2204</Tile>\r
- <Tile>2307</Tile>\r
- <Tile>2208</Tile>\r
- <Tile>2304</Tile>\r
- <Tile>2308</Tile>\r
- </Lane>\r
- <Lane Index="6">\r
- <Sample>s</Sample>\r
- <Tile>1101</Tile>\r
- <Tile>1102</Tile>\r
- <Tile>1103</Tile>\r
- <Tile>1106</Tile>\r
- <Tile>1105</Tile>\r
- <Tile>1107</Tile>\r
- <Tile>1202</Tile>\r
- <Tile>1201</Tile>\r
- <Tile>1203</Tile>\r
- <Tile>1207</Tile>\r
- <Tile>1205</Tile>\r
- <Tile>1206</Tile>\r
- <Tile>1301</Tile>\r
- <Tile>1303</Tile>\r
- <Tile>1302</Tile>\r
- <Tile>1104</Tile>\r
- <Tile>1305</Tile>\r
- <Tile>1306</Tile>\r
- <Tile>2101</Tile>\r
- <Tile>1108</Tile>\r
- <Tile>2102</Tile>\r
- <Tile>1307</Tile>\r
- <Tile>2103</Tile>\r
- <Tile>2105</Tile>\r
- <Tile>1204</Tile>\r
- <Tile>2106</Tile>\r
- <Tile>2107</Tile>\r
- <Tile>2201</Tile>\r
- <Tile>2202</Tile>\r
- <Tile>1208</Tile>\r
- <Tile>2203</Tile>\r
- <Tile>2206</Tile>\r
- <Tile>2205</Tile>\r
- <Tile>1304</Tile>\r
- <Tile>2302</Tile>\r
- <Tile>2207</Tile>\r
- <Tile>2301</Tile>\r
- <Tile>1308</Tile>\r
- <Tile>2306</Tile>\r
- <Tile>2303</Tile>\r
- <Tile>2305</Tile>\r
- <Tile>2307</Tile>\r
- <Tile>2104</Tile>\r
- <Tile>2108</Tile>\r
- <Tile>2204</Tile>\r
- <Tile>2208</Tile>\r
- <Tile>2304</Tile>\r
- <Tile>2308</Tile>\r
- </Lane>\r
- <Lane Index="7">\r
- <Sample>s</Sample>\r
- <Tile>1102</Tile>\r
- <Tile>1106</Tile>\r
- <Tile>1101</Tile>\r
- <Tile>1105</Tile>\r
- <Tile>1202</Tile>\r
- <Tile>1201</Tile>\r
- <Tile>1206</Tile>\r
- <Tile>1205</Tile>\r
- <Tile>1103</Tile>\r
- <Tile>1302</Tile>\r
- <Tile>1301</Tile>\r
- <Tile>1107</Tile>\r
- <Tile>1306</Tile>\r
- <Tile>1305</Tile>\r
- <Tile>1203</Tile>\r
- <Tile>2101</Tile>\r
- <Tile>2102</Tile>\r
- <Tile>2105</Tile>\r
- <Tile>1207</Tile>\r
- <Tile>2106</Tile>\r
- <Tile>2201</Tile>\r
- <Tile>2202</Tile>\r
- <Tile>2205</Tile>\r
- <Tile>1303</Tile>\r
- <Tile>1307</Tile>\r
- <Tile>2206</Tile>\r
- <Tile>2301</Tile>\r
- <Tile>2103</Tile>\r
- <Tile>2305</Tile>\r
- <Tile>2302</Tile>\r
- <Tile>2107</Tile>\r
- <Tile>2306</Tile>\r
- <Tile>2203</Tile>\r
- <Tile>2207</Tile>\r
- <Tile>2303</Tile>\r
- <Tile>2307</Tile>\r
- <Tile>1104</Tile>\r
- <Tile>1108</Tile>\r
- <Tile>1204</Tile>\r
- <Tile>1208</Tile>\r
- <Tile>1304</Tile>\r
- <Tile>1308</Tile>\r
- <Tile>2104</Tile>\r
- <Tile>2108</Tile>\r
- <Tile>2204</Tile>\r
- <Tile>2208</Tile>\r
- <Tile>2304</Tile>\r
- <Tile>2308</Tile>\r
- </Lane>\r
- <Lane Index="8">\r
- <Sample>s</Sample>\r
- <Tile>1101</Tile>\r
- <Tile>1102</Tile>\r
- <Tile>1105</Tile>\r
- <Tile>1106</Tile>\r
- <Tile>1201</Tile>\r
- <Tile>1202</Tile>\r
- <Tile>1103</Tile>\r
- <Tile>1205</Tile>\r
- <Tile>1206</Tile>\r
- <Tile>1107</Tile>\r
- <Tile>1301</Tile>\r
- <Tile>1302</Tile>\r
- <Tile>1203</Tile>\r
- <Tile>1306</Tile>\r
- <Tile>1305</Tile>\r
- <Tile>1207</Tile>\r
- <Tile>2101</Tile>\r
- <Tile>1303</Tile>\r
- <Tile>2102</Tile>\r
- <Tile>1307</Tile>\r
- <Tile>2105</Tile>\r
- <Tile>2103</Tile>\r
- <Tile>2106</Tile>\r
- <Tile>2201</Tile>\r
- <Tile>2107</Tile>\r
- <Tile>2205</Tile>\r
- <Tile>2202</Tile>\r
- <Tile>2206</Tile>\r
- <Tile>2203</Tile>\r
- <Tile>2301</Tile>\r
- <Tile>2305</Tile>\r
- <Tile>2302</Tile>\r
- <Tile>2306</Tile>\r
- <Tile>1104</Tile>\r
- <Tile>2207</Tile>\r
- <Tile>1108</Tile>\r
- <Tile>1204</Tile>\r
- <Tile>2303</Tile>\r
- <Tile>2307</Tile>\r
- <Tile>1208</Tile>\r
- <Tile>1304</Tile>\r
- <Tile>1308</Tile>\r
- <Tile>2104</Tile>\r
- <Tile>2108</Tile>\r
- <Tile>2204</Tile>\r
- <Tile>2208</Tile>\r
- <Tile>2304</Tile>\r
- <Tile>2308</Tile>\r
- </Lane>\r
- </TileSelection>\r
- <Time />\r
- <User />\r
- </Run>\r
-</ImageAnalysis>
\ No newline at end of file
fromTypedNode
from htsworkflow.util.hashfile import make_md5sum
-logger = logging.getLogger(__name__)
+LOGGER = logging.getLogger(__name__)
DAF_VARIABLE_NAMES = ("variables", "extraVariables")
VARIABLES_TERM_NAME = 'variables'
if view_name is not None:
attributes['views'][view_name] = view_attributes
- logger.debug("DAF Attributes" + pformat(attributes))
+ LOGGER.debug("DAF Attributes" + pformat(attributes))
return attributes
otherwise specifies model to use
"""
if daf_file is None and model is None:
- logger.error("We need a DAF or Model containing a DAF to work")
+ LOGGER.error("We need a DAF or Model containing a DAF to work")
self.name = name
self.submissionSet = get_submission_uri(self.name)
"""Examine files in our result directory
"""
for lib_id, result_dir in result_map.items():
- logger.info("Importing %s from %s" % (lib_id, result_dir))
+ LOGGER.info("Importing %s from %s" % (lib_id, result_dir))
try:
self.import_submission_dir(result_dir, lib_id)
except MetadataLookupException, e:
- logger.error("Skipping %s: %s" % (lib_id, str(e)))
+ LOGGER.error("Skipping %s: %s" % (lib_id, str(e)))
def import_submission_dir(self, submission_dir, library_id):
"""Import a submission directories and update our model as needed
"""
path, filename = os.path.split(pathname)
- logger.debug("Searching for view")
+ LOGGER.debug("Searching for view")
view = self.find_view(filename)
if view is None:
- logger.warn("Unrecognized file: {0}".format(pathname))
+ LOGGER.warn("Unrecognized file: {0}".format(pathname))
return None
if str(view) == str(libraryOntology['ignore']):
return None
dafTermOntology['name']))
if view_name is None:
errmsg = 'Could not find view name for {0}'
- logger.warning(errmsg.format(str(view)))
+ LOGGER.warning(errmsg.format(str(view)))
return
view_name = str(view_name)
RDF.Statement(self.submissionSet,
dafTermOntology['has_submission'],
submissionNode))
- logger.debug("Adding statements to {0}".format(str(submissionNode)))
+ LOGGER.debug("Adding statements to {0}".format(str(submissionNode)))
self.model.add_statement(RDF.Statement(submissionNode,
submissionOntology['has_view'],
submissionView))
submissionOntology['library'],
libNode))
- logger.debug("Adding statements to {0}".format(str(submissionView)))
+ LOGGER.debug("Adding statements to {0}".format(str(submissionView)))
# add track specific information
self.model.add_statement(
RDF.Statement(submissionView, dafTermOntology['view'], view))
# add file specific information
self.create_file_attributes(filename, submissionView, submission_uri, submission_dir)
- logger.debug("Done.")
+ LOGGER.debug("Done.")
def create_file_attributes(self, filename, submissionView, submission_uri, submission_dir):
# add file specific information
- logger.debug("Updating file md5sum")
+ LOGGER.debug("Updating file md5sum")
fileNode = RDF.Node(RDF.Uri(submission_uri + '/' + filename))
submission_pathname = os.path.join(submission_dir, filename)
self.model.add_statement(
md5 = make_md5sum(submission_pathname)
if md5 is None:
errmsg = "Unable to produce md5sum for {0}"
- logger.warning(errmsg.format(submission_pathname))
+ LOGGER.warning(errmsg.format(submission_pathname))
else:
self.model.add_statement(
RDF.Statement(fileNode, dafTermOntology['md5sum'], md5))
else:
msg = "Found wrong number of view names for {0} len = {1}"
msg = msg.format(str(view), len(names))
- logger.error(msg)
+ LOGGER.error(msg)
raise RuntimeError(msg)
def _get_filename_view_map(self):
for s in self.model.find_statements(filename_query):
view_name = s.subject
literal_re = s.object.literal_value['string']
- logger.debug("Found: %s" % (literal_re,))
+ LOGGER.debug("Found: %s" % (literal_re,))
try:
filename_re = re.compile(literal_re)
except re.error, e:
- logger.error("Unable to compile: %s" % (literal_re,))
+ LOGGER.error("Unable to compile: %s" % (literal_re,))
patterns[literal_re] = view_name
return patterns
import logging
+import os
import RDF
from htsworkflow.util.rdfhelp import \
fromTypedNode, \
+ geoSoftNS, \
+ simplifyUri, \
submissionOntology
from django.conf import settings
def make_soft(self, result_map):
samples = []
+ platform = self.get_platform_metadata()
+ platform_attribs = dict(platform)
+ platform_id = platform_attribs['^platform']
+ series = self.get_series_metadata()
+ series_attribs = dict(series)
+ series_id = series_attribs['^series']
for lib_id, result_dir in result_map.items():
an_analysis = self.get_submission_node(result_dir)
- samples.append(self.get_sample_metadata(an_analysis))
+ metadata = self.get_sample_metadata(an_analysis)
+ if len(metadata) > 1:
+ errmsg = 'Confused there are more than one samples for %s'
+ LOGGER.debug(errmsg % (str(an_analysis,)))
+ metadata = metadata[0]
+ metadata['raw'] = self.get_sample_files(an_analysis,
+ geoSoftNS['raw'])
+ metadata['supplimental'] = self.get_sample_files(
+ an_analysis,
+ geoSoftNS['supplemental'])
+ samples.append(metadata)
soft_template = loader.get_template('geo_submission.soft')
context = Context({
- 'samples': samples
+ 'platform': platform,
+ 'series': series,
+ 'samples': samples,
+ 'platform_id': platform_id,
+ 'series_id': series_id,
})
print str(soft_template.render(context))
else:
return True
+ def get_platform_metadata(self):
+ """Gather information for filling out sample section of a SOFT file
+ """
+ query_template = loader.get_template('geo_platform.sparql')
+ submission = str(self.submissionSetNS[''].uri)
+ context = Context({
+ 'submission': submission,
+ })
+
+ results = self.execute_query(query_template, context)
+ return self.query_to_soft_dictionary(results, 'platform')
+
+ def get_series_metadata(self):
+ """Gather information for filling out sample section of a SOFT file
+ """
+ query_template = loader.get_template('geo_series.sparql')
+ submission = str(self.submissionSetNS[''].uri)
+ context = Context({
+ 'submission': submission,
+ })
+
+ results = self.execute_query(query_template, context)
+ return self.query_to_soft_dictionary(results, 'series')
+
def get_sample_metadata(self, analysis_node):
"""Gather information for filling out sample section of a SOFT file
"""
- query_template = loader.get_template('geo_submission.sparql')
+ query_template = loader.get_template('geo_samples.sparql')
context = Context({
'submission': str(analysis_node.uri),
+ 'submissionSet': str(self.submissionSetNS[''].uri),
})
- formatted_query = query_template.render(context)
- query = RDF.SPARQLQuery(str(formatted_query))
- rdfstream = query.execute(self.model)
- results = []
- for r in rdfstream:
- results.append(r)
+ results = self.execute_query(query_template, context)
+ for r in results:
+
+ r['dataProtocol'] = str(r['dataProtocol']).replace('\n', ' ')
return results
+
+ def get_sample_files(self, analysis_node, file_class):
+ """Gather files
+ """
+ query_template = loader.get_template('geo_files.sparql')
+
+ context = Context({
+ 'submission': str(analysis_node.uri),
+ 'file_class': str(file_class)
+ })
+
+ return self.execute_query(query_template, context)
+
+ def query_to_soft_dictionary(self, results, heading):
+ attributes = []
+ for r in results:
+ name = simplifyUri(geoSoftNS, r['name'])
+ if name is not None:
+ if name.lower() == heading.lower():
+ name = '^' + name
+ else:
+ name = '!' + name
+ for v in fromTypedNode(r['value']).split(os.linesep):
+ v = v.strip()
+ if len(v) > 0:
+ attributes.append((name, v))
+ return attributes
--- /dev/null
+"""Start extracting information out of NCBI SRA
+
+It probably could be extended to extract other NCBI information.
+But at the time I just needed to look up things in the short read archive.
+"""
+
+import logging
+from lxml.etree import parse, XSLT, tostring, fromstring
+from optparse import OptionParser
+import os
+import RDF
+import urllib
+
+from htsworkflow.util.rdfhelp import get_model, dump_model
+
+from django.conf import settings
+from django.template import Context, loader
+
+if not 'DJANGO_SETTINGS_MODULE' in os.environ:
+ os.environ['DJANGO_SETTINGS_MODULE'] = 'htsworkflow.settings'
+
+LOGGER = logging.getLogger(__name__)
+
+ESEARCH_URL="http://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?"
+EFETCH_URL="http://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?"
+DB = 'sra'
+DEFAULT_QUERY = 'wgEncodeCaltechRnaSeq OR wgEncodeCaltechHist OR wgEncodeCaltechTfbs'
+
+def search_ncbi_ids(database, term, return_max=200):
+ """Return list of IDs from a NCBI database
+ database - which ncbi database to search
+ term - ncbi query string
+ return_max - maximum records to return
+ """
+ search = {'db': database,
+ 'term': term,
+ 'retmax': return_max}
+ tree = parse(ESEARCH_URL + urllib.urlencode(search))
+ root = tree.getroot()
+ count = get_node_scalar(root, '/eSearchResult/Count', int)
+ retmax_node = get_node_scalar(root, '/eSearchResult/RetMax', int)
+
+ if count > retmax_node:
+ raise ValueError("Too many values returned please adjust query")
+
+ id_nodes = tree.xpath('/eSearchResult/IdList/Id')
+ if len(id_nodes) != count:
+ errmsg = "Weird. Length of ID list ({0}) doesn't match count ({1})"
+ raise ValueError(errmsg.format(len(id_nodes), count))
+
+ ids = [ x.text for x in id_nodes ]
+ return ids
+
+def parse_sra_metadata_into_model(model, ncbi_id):
+ """Extract SRA data by looking up a NCBI ID.
+ """
+ search = {'db':DB,
+ 'id': ncbi_id}
+ url = EFETCH_URL + urllib.urlencode(search)
+ tree = parse(url)
+
+ context = Context()
+ sra_rdf_template = loader.get_template('sra.rdfxml.xsl')
+ sra_rdf_stylesheet = sra_rdf_template.render(context)
+ sra_rdf_transform = XSLT(fromstring(sra_rdf_stylesheet))
+ rdfdata = tostring(sra_rdf_transform(tree))
+ rdfparser = RDF.Parser(name='rdfxml')
+ rdfparser.parse_string_into_model(model, rdfdata, url)
+
+def get_node_scalar(parent, xpath, target_type=None):
+ """Return a single value from an xpath search, possibily type converted
+
+ target_type pass a constructor that takes a string to convert result
+ of search
+ """
+ node = parent.xpath(xpath)
+ if node is None or len(node) != 1:
+ raise ValueError("Wrong response, incorrect number of {0} tags".xpath)
+ if target_type is not None:
+ return target_type(node[0].text)
+ else:
+ return node[0].text
+
+def main(cmdline=None):
+ """Quick driver for importing data from SRA"""
+ parser = make_parser()
+ opts, args = parser.parse_args(cmdline)
+
+ if opts.debug:
+ logging.basicConfig(level=logging.DEBUG)
+ elif opts.verbose:
+ logging.basicConfig(level=logging.INFO)
+ else:
+ logging.basicConfig(level=logging.WARN)
+
+ model = get_model(opts.database, opts.dbpath)
+
+ ids = search_ncbi_ids('sra', opts.query)
+ for count, encode_id in enumerate(ids[:1]):
+ LOGGER.info("processing %s %d / %d", encode_id, count+1, len(ids))
+ parse_sra_metadata_into_model(model, encode_id)
+
+ if opts.dump:
+ dump_model(model)
+
+def make_parser():
+ parser = OptionParser()
+ parser.add_option('--dbpath', help="Database directory",
+ default=os.getcwd())
+ parser.add_option('--database', help="Database name", default=None)
+ parser.add_option('--dump', help="dump database", default=False,
+ action="store_true")
+ parser.add_option('--query', help='specify NCBI search terms',
+ default=DEFAULT_QUERY)
+ parser.add_option("-v", "--verbose", action="store_true", default=False)
+ parser.add_option("--debug", action="store_true", default=False)
+ return parser
+
+if __name__ == "__main__":
+ main()
MetadataLookupException, \
get_submission_uri
-logger = logging.getLogger(__name__)
+LOGGER = logging.getLogger(__name__)
class Submission(object):
def __init__(self, name, model):
self.model = model
self.submissionSet = get_submission_uri(self.name)
- self.submissionSetNS = RDF.NS(str(self.submissionSet) + '/')
+ self.submissionSetNS = RDF.NS(str(self.submissionSet) + '#')
self.libraryNS = RDF.NS('http://jumpgate.caltech.edu/library/')
self.__view_map = None
"""Examine files in our result directory
"""
for lib_id, result_dir in result_map.items():
- logger.info("Importing %s from %s" % (lib_id, result_dir))
+ LOGGER.info("Importing %s from %s" % (lib_id, result_dir))
try:
self.import_analysis_dir(result_dir, lib_id)
except MetadataLookupException, e:
- logger.error("Skipping %s: %s" % (lib_id, str(e)))
+ LOGGER.error("Skipping %s: %s" % (lib_id, str(e)))
def import_analysis_dir(self, analysis_dir, library_id):
"""Import a submission directories and update our model as needed
"""
path, filename = os.path.split(pathname)
- logger.debug("Searching for view")
- file_classification = self.find_best_match(filename)
- if file_classification is None:
- logger.warn("Unrecognized file: {0}".format(pathname))
+ LOGGER.debug("Searching for view")
+ file_type = self.find_best_match(filename)
+ if file_type is None:
+ LOGGER.warn("Unrecognized file: {0}".format(pathname))
return None
- if str(file_classification) == str(libraryOntology['ignore']):
+ if str(file_type) == str(libraryOntology['ignore']):
return None
an_analysis_name = self.make_submission_name(analysis_dir)
an_analysis = self.get_submission_node(analysis_dir)
an_analysis_uri = str(an_analysis.uri)
+ file_classification = self.model.get_target(file_type,
+ rdfNS['type'])
+ if file_classification is None:
+ errmsg = 'Could not find class for {0}'
+ logger.warning(errmsg.format(str(file_type)))
+ return
+ self.model.add_statement(
+ RDF.Statement(self.submissionSetNS[''],
+ submissionOntology['has_submission'],
+ an_analysis))
self.model.add_statement(RDF.Statement(an_analysis,
submissionOntology['name'],
toTypedNode(an_analysis_name)))
submissionOntology['library'],
libNode))
- logger.debug("Adding statements to {0}".format(str(an_analysis)))
+ LOGGER.debug("Adding statements to {0}".format(str(an_analysis)))
# add track specific information
self.model.add_statement(
RDF.Statement(an_analysis,
an_analysis_uri,
analysis_dir)
self.add_md5s(filename, fileNode, analysis_dir)
-
- logger.debug("Done.")
+ self.model.add_statement(
+ RDF.Statement(fileNode,
+ rdfNS['type'],
+ file_type))
+ LOGGER.debug("Done.")
def link_file_to_classes(self, filename, submissionNode, submission_uri, analysis_dir):
# add file specific information
return fileNode
def add_md5s(self, filename, fileNode, analysis_dir):
- logger.debug("Updating file md5sum")
+ LOGGER.debug("Updating file md5sum")
submission_pathname = os.path.join(analysis_dir, filename)
md5 = make_md5sum(submission_pathname)
if md5 is None:
errmsg = "Unable to produce md5sum for {0}"
- logger.warning(errmsg.format(submission_pathname))
+ LOGGER.warning(errmsg.format(submission_pathname))
else:
self.model.add_statement(
RDF.Statement(fileNode, dafTermOntology['md5sum'], md5))
for s in self.model.find_statements(filename_query):
view_name = s.subject
literal_re = s.object.literal_value['string']
- logger.debug("Found: %s" % (literal_re,))
+ LOGGER.debug("Found: %s" % (literal_re,))
try:
filename_re = re.compile(literal_re)
except re.error, e:
- logger.error("Unable to compile: %s" % (literal_re,))
+ LOGGER.error("Unable to compile: %s" % (literal_re,))
patterns[literal_re] = view_name
return patterns
"Unrecognized library type %s for %s" % \
(library_type, str(libNode)))
+ def execute_query(self, template, context):
+ """Execute the query, returning the results
+ """
+ formatted_query = template.render(context)
+ LOGGER.debug(formatted_query)
+ query = RDF.SPARQLQuery(str(formatted_query))
+ rdfstream = query.execute(self.model)
+ results = []
+ for r in rdfstream:
+ results.append(r)
+ return results
--- /dev/null
+PREFIX libraryOntology: <http://jumpgate.caltech.edu/wiki/LibraryOntology#>
+PREFIX submissionOntology: <http://jumpgate.caltech.edu/wiki/UcscSubmissionOntology#>
+PREFIX ucscDaf: <http://jumpgate.caltech.edu/wiki/UcscDaf#>
+PREFIX ncbiTaxon: <http://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?id=>
+PREFIX geoSoft: <http://www.ncbi.nlm.nih.gov/geo/info/soft2.html#>
+
+select distinct ?filename, ?md5sum, ?file_type ?file_type_label
+WHERE {
+ <{{submission}}> ucscDaf:has_file ?file ;
+ a submissionOntology:submission .
+
+ ?file ucscDaf:filename ?filename ;
+ ucscDaf:md5sum ?md5sum ;
+ a ?file_type .
+ ?file_type a <{{file_class}}> ;
+ geoSoft:fileTypeLabel ?file_type_label .
+
+}
\ No newline at end of file
--- /dev/null
+PREFIX libraryOntology: <http://jumpgate.caltech.edu/wiki/LibraryOntology#>
+PREFIX submissionOntology: <http://jumpgate.caltech.edu/wiki/UcscSubmissionOntology#>
+PREFIX ucscDaf: <http://jumpgate.caltech.edu/wiki/UcscDaf#>
+PREFIX ncbiTaxon: <http://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?id=>
+PREFIX geoSoft: <http://www.ncbi.nlm.nih.gov/geo/info/soft2.html#>
+
+
+select distinct ?name ?value
+WHERE {
+ <{{submission}}> submissionOntology:has_platform ?platform .
+ ?platform a geoSoft:platform .
+
+ ?platform ?name ?value .
+}
--- /dev/null
+PREFIX libraryOntology: <http://jumpgate.caltech.edu/wiki/LibraryOntology#>
+PREFIX submissionOntology: <http://jumpgate.caltech.edu/wiki/UcscSubmissionOntology#>
+PREFIX ucscDaf: <http://jumpgate.caltech.edu/wiki/UcscDaf#>
+PREFIX ncbiTaxon: <http://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?id=>
+PREFIX geoSoft: <http://www.ncbi.nlm.nih.gov/geo/info/soft2.html#>
+PREFIX cells: <http://encodewiki.ucsc.edu/EncodeDCC/index.php/Cell_lines#>
+
+select distinct ?name ?cell ?antibody ?sex ?control ?strain ?controlId ?library_id ?treatment ?protocol ?readType ?insertLength ?replicate, ?mapAlgorithm ?species_name ?taxon_id ?extractMolecule ?growthProtocol ?extractProtocol ?dataProtocol ?experiment_type ?library_selection ?library_source
+WHERE {
+ <{{submission}}> a submissionOntology:submission .
+
+ OPTIONAL { <{{submission}}> ucscDaf:control ?control }
+ OPTIONAL { <{{submission}}> ucscDaf:controlId ?controlId }
+ OPTIONAL { ?library libraryOntology:antibody ?antibody }
+ OPTIONAL { ?library libraryOntology:cell_line ?cell .
+ ?cell_line cells:cell ?cell ;
+ cells:documents ?growthProtocol . }
+ OPTIONAL { ?library ucscDaf:sex ?sex }
+ OPTIONAL { ?library libraryOntology:library_id ?library_id }
+ OPTIONAL { ?library libraryOntology:replicate ?replicate }
+ OPTIONAL { ?library libraryOntology:species ?species_name }
+ OPTIONAL { ?library libraryOntology:condition_term ?treatment }
+ OPTIONAL { ?library libraryOntology:experiment_type ?experiment_type }
+ OPTIONAL { ?library libraryOntology:librarySelection ?library_selection }
+ OPTIONAL { ?library libraryOntology:librarySource ?library_source }
+ OPTIONAL { <{{submissionSet}}> geoSoft:data_processing ?dataProtocol }
+ OPTIONAL { ?library libraryOntology:extractMolecule ?extractMolecule }
+ OPTIONAL { ?library libraryOntology:extractProtocol ?extractProtocol }
+ OPTIONAL { ?library ucscDaf:protocol ?protocol }
+ OPTIONAL { ?library ucscDaf:readType ?readType }
+ OPTIONAL { ?library ucscDaf:strain ?strain }
+ OPTIONAL { ?library libraryOntology:insert_size ?insertLength }
+ OPTIONAL { ?library ucscDaf:mapAlgorithm ?mapAlgorithm }
+
+ <{{submission}}> submissionOntology:library ?library ;
+ submissionOntology:name ?name .
+ ?species libraryOntology:species ?species_name ;
+ libraryOntology:taxon_id ?taxon_id .
+
+
+}
\ No newline at end of file
--- /dev/null
+PREFIX libraryOntology: <http://jumpgate.caltech.edu/wiki/LibraryOntology#>
+PREFIX submissionOntology: <http://jumpgate.caltech.edu/wiki/UcscSubmissionOntology#>
+PREFIX ucscDaf: <http://jumpgate.caltech.edu/wiki/UcscDaf#>
+PREFIX ncbiTaxon: <http://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?id=>
+PREFIX geoSoft: <http://www.ncbi.nlm.nih.gov/geo/info/soft2.html#>
+
+
+select distinct ?name ?value
+WHERE {
+ <{{submission}}> submissionOntology:has_series ?series.
+ ?series a geoSoft:series .
+
+ ?series ?name ?value .
+}
-Soft template
-!Platform_title = Illumina Genome Analyzer (Homo sapiens)
-!Platform_geo_accession = GPL9052
-{% for sample in samples %}{% for row in sample %}{%if forloop.first %}
+{% for name, value in series %}{{name}} = {{value}}
+{% endfor %}!Series_platform_id = {{ platform_id }}
+{% for row in samples %}
^SAMPLE={{row.name}}
+!Sample_type=SRA
!Sample_title={{row.name}}
+!Sample_series_id = {{ series_id }}
+!Sample_instrument_model = Illumina Genome Analyzer
+!Sample_instrument_model = Illumina Genome Analyzer II
+!Sample_instrument_model = Illumina Genome Analyzer IIx
+!Sample_instrument_model = Illumina HiSeq 2000
+!Sample_channel_count = 1
!Sample_organism_ch1 = {{ row.species_name }}
!Sample_taxid_ch1 = {{ row.taxon_id }}
-{% spaceless %}{% if row.cell %}!Sample_characteristics_ch1 = cell: {{ row.cell }}
-{% endif %}{% endspaceless %}{% endif %}
-!Sample_supplementary_file_{{forloop.counter}}={{row.filename}}{% endfor %}{% endfor %}
\ No newline at end of file
+!Sample_platform_id = {{ platform_id }}
+!Sample_source_name_ch1={{row.cell}}
+!Sample_library_strategy={{ row.experiment_type }}
+!Sample_library_source={{row.library_source}}
+!Sample_library_selection={{ row.library_selection }}
+!Sample_growth_protocol_ch1={{ row.growthProtocol|safe }}
+!Sample_extract_protocol={{ row.extractProtocol|safe }}
+!Sample_data_processing={{ row.dataProtocol|safe }}
+!Sample_molecule_ch1 = {{ row.extractMolecule }}
+!Sample_characteristics_ch1 = labExpId: {{ row.library_id }}
+!Sample_characteristics_ch1 = replicate: {{ row.replicate }}
+{% if row.cell %}{% spaceless %}
+!Sample_characteristics_ch1 = cell: {{ row.cell }}
+{% endspaceless %}{% endif %}
+{% if row.readType %}{% spaceless %}
+!Sample_characteristics_ch1 = readType: {{ row.readType }}
+{% endspaceless %}{% endif %}{% if row.antibody %}{% spaceless %}
+!Sample_characteristics_ch1 = cell: {{ row.antibody }}
+{% endspaceless %}{% endif %}{% for raw in row.raw %}
+!Sample_raw_file_{{forloop.counter}}={{raw.filename}}
+!Sample_raw_file_type_{{forloop.counter}}={{raw.file_type_label}}
+!Sample_raw_file_checksum_{{forloop.counter}}={{raw.md5sum}}{% endfor %}{% for sup in row.supplimental %}
+!Sample_supplementary_file_{{forloop.counter}}={{sup.filename}}
+!Sample_supplementary_file_checksum_{{forloop.counter}}={{sup.md5sum}}
+{% endfor %}{% endfor %}
\ No newline at end of file
+++ /dev/null
-PREFIX libraryOntology: <http://jumpgate.caltech.edu/wiki/LibraryOntology#>
-PREFIX submissionOntology: <http://jumpgate.caltech.edu/wiki/UcscSubmissionOntology#>
-PREFIX ucscDaf: <http://jumpgate.caltech.edu/wiki/UcscDaf#>
-PREFIX ncbiTaxon: <http://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?id=>
-
-select distinct ?name ?filename ?md5sum ?cell ?antibody ?sex ?control ?strain ?controlId ?labExpId ?labVersion ?treatment ?protocol ?readType ?insertLength ?replicate, ?mapAlgorithm ?species_name ?taxon_id
-WHERE {
- <{{submission}}> a submissionOntology:submission .
-
- OPTIONAL { ?submission ucscDaf:control ?control }
- #OPTIONAL { ?submission ucscDaf:controlId ?controlId }
- #OPTIONAL { ?library libraryOntology:antibody ?antibody }
- OPTIONAL { ?library libraryOntology:cell_line ?cell } .
- #OPTIONAL { ?library ucscDaf:sex ?sex }
- OPTIONAL { ?library libraryOntology:library_id ?labExpId }
- OPTIONAL { ?library libraryOntology:library_id ?labVersion }
- OPTIONAL { ?library libraryOntology:replicate ?replicate }
- OPTIONAL { ?library libraryOntology:species ?species_name }
-
- #OPTIONAL { ?library libraryOntology:condition_term ?treatment }
- #OPTIONAL { ?library ucscDaf:protocol ?protocol }
- #OPTIONAL { ?library ucscDaf:readType ?readType }
- #OPTIONAL { ?library ucscDaf:strain ?strain }
- #OPTIONAL { ?library libraryOntology:insert_size ?insertLength }
- #OPTIONAL { ?library ucscDaf:mapAlgorithm ?mapAlgorithm }
-
- <{{submission}}> submissionOntology:library ?library ;
- ucscDaf:has_file ?file ;
- submissionOntology:name ?name .
- ?species libraryOntology:species ?species_name ;
- libraryOntology:taxon_id ?taxon_id .
- ?file ucscDaf:filename ?filename .
-}
--- /dev/null
+<!DOCTYPE html>
+<html>
+ <head>
+ <title>Report</title>
+ <style>
+table {
+ border-spacing: 0;
+}
+
+table, td {
+ border-style: solid;
+}
+
+td { margin: 0;
+ border-width: 1px 1px 0 0;
+ padding: 4px;
+} </style>
+ </head>
+ <body>
+ <table>
+ <thead>
+ <tr>{% for k in results.0 %}
+ <td>{{k}}</td>{% endfor %}
+ </tr>
+ </thead>
+ <tbody>
+ {% for row in results %}<tr>{% for value in row.values %}
+ <td>{% spaceless %}
+ {% if value.url %}<a href="{{ value.url }}">{% endif%}
+ {{value.simple}}
+ {% if value.url %}</a>{% endif %}</td>{% endspaceless %}{% endfor %}
+ </tr>
+ {% endfor %}
+ </tbody>
+ </table>
+ </body>
+</html>
--- /dev/null
+<?xml version="1.0"?>
+<xsl:stylesheet version="1.0"
+ xmlns:xsl="http://www.w3.org/1999/XSL/Transform"
+ xmlns:xs="http://www.w3.org/2001/XMLSchema#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:xsd="http://www.w3.org/2001/XMLSchema#"
+ xmlns:submission="http://jumpgate.caltech.edu/wiki/UcscSubmissionOntology#"
+ xmlns:sra="http://www.ncbi.nlm.nih.gov/sra"
+ xmlns:sras="http://www.ncbi.nlm.nih.gov/viewvc/v1/trunk/sra/doc/SRA_1-3/SRA.package.xsd#"
+ xmlns:sraa="http://www.ncbi.nlm.nih.gov/viewvc/v1/trunk/sra/doc/SRA_1-3/SRA.attribute#"
+ >
+
+<xsl:output method="xml" indent="yes"/>
+
+<xsl:template match="/">
+ <rdf:RDF xmlns:ddf="http://encodesubmit.ucsc.edu/pipeline/download_ddf#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:xsd="http://www.w3.org/2001/XMLSchema#"
+ xmlns:submission="http://jumpgate.caltech.edu/wiki/UcscSubmissionOntology#"
+ xmlns:pipeline="http://encodesubmit.ucsc.edu/pipeline/"
+ xmlns:sra="http://www.ncbi.nlm.nih.gov/sra"
+ xmlns:sras="http://www.ncbi.nlm.nih.gov/viewvc/v1/trunk/sra/doc/SRA_1-3/SRA.package.xsd#"
+ xmlns:sraa="http://www.ncbi.nlm.nih.gov/viewvc/v1/trunk/sra/doc/SRA_1-3/SRA.attribute#"
+>
+ <xsl:apply-templates select="*"/>
+ </rdf:RDF>
+</xsl:template>
+
+<xsl:template match="EXPERIMENT_PACKAGE">
+ <xsl:apply-templates select="./EXPERIMENT"/>
+ <!-- xsl:for-each select="./EXPERIMENT/EXPERIMENT_ATTRIBUTES/EXPERIMENT_ATTRIBUTE">
+ <xsl:call-template name="node_detail"/>
+ </xsl:for-each -->
+ <xsl:apply-templates select="./SUBMISSION"/>
+ <xsl:apply-templates select="./STUDY"/>
+ <xsl:apply-templates select="./SAMPLE"/>
+ <!-- xsl:for-each select="./SAMPLE/SAMPLE_ATTRIBUTES/SAMPLE_ATTRIBUTE">
+ <xsl:call-template name="node_detail"/>
+ </xsl:for-each -->
+ <xsl:apply-templates select="./RUN_SET"/>
+</xsl:template>
+
+<xsl:template match="EXPERIMENT">
+ <sras:experiment>
+ <xsl:attribute name="rdf:about">http://www.ncbi.nlm.nih.gov/sra/<xsl:value-of select="@accession"/></xsl:attribute>
+ <sras:experiment_alias><xsl:value-of select="@alias"/></sras:experiment_alias>
+ <sras:center_name><xsl:value-of select="@center_name"/></sras:center_name>
+ <xsl:apply-templates select="STUDY_REF"/>
+ <xsl:apply-templates select="DESIGN"/>
+ <xsl:apply-templates select="PLATFORM"/>
+ <xsl:for-each select="./EXPERIMENT_ATTRIBUTES/EXPERIMENT_ATTRIBUTE">
+ <xsl:call-template name="node_simple"/>
+ </xsl:for-each>
+ <sras:submission>
+ <xsl:attribute name="rdf:resource">http://www.ncbi.nlm.nih.gov/sra/<xsl:value-of select="../SUBMISSION/@accession"/></xsl:attribute>
+ </sras:submission>
+ </sras:experiment>
+</xsl:template>
+
+<xsl:template match="STUDY_REF">
+ <sras:study>
+ <xsl:attribute name="rdf:resource">http://www.ncbi.nlm.nih.gov/sra/<xsl:value-of select="@accession"/></xsl:attribute>
+ </sras:study>
+</xsl:template>
+
+<xsl:template match="DESIGN">
+ <xsl:apply-templates select="SAMPLE_DESCRIPTOR"/>
+ <xsl:apply-templates select="LIBRARY_DESCRIPTOR"/>
+</xsl:template>
+
+<xsl:template match="SAMPLE_DESCRIPTOR">
+ <sras:sample>
+ <xsl:attribute name="rdf:resource">http://www.ncbi.nlm.nih.gov/sra/<xsl:value-of select="@accession"/></xsl:attribute>
+ </sras:sample>
+</xsl:template>
+
+<xsl:template match="LIBRARY_DESCRIPTOR">
+ <sras:library_name><xsl:value-of select="LIBRARY_NAME"/></sras:library_name>
+ <sras:library_strategy><xsl:value-of select="LIBRARY_STRATEGY"/></sras:library_strategy>
+ <sras:library_source><xsl:value-of select="LIBRARY_SOURCE"/></sras:library_source>
+ <sras:library_selection><xsl:value-of select="LIBRARY_SELECTION"/></sras:library_selection>
+ <sras:library_protocol>
+ <xsl:attribute name="rdf:resource">http:<xsl:value-of select="substring-after(LIBRARY_CONSTRUCTION_PROTOCOL, 'http')"/></xsl:attribute></sras:library_protocol>
+</xsl:template>
+
+<xsl:template match="PLATFORM">
+ <sras:instrument_model><xsl:value-of select="ILLUMINA/INSTRUMENT_MODEL"/></sras:instrument_model>
+ <sras:sequence_length rdf:datatype="http://www.w3.org/2001/XMLSchema#decimal"><xsl:value-of select="ILLUMINA/SEQUENCE_LENGTH"/></sras:sequence_length>
+</xsl:template>
+
+<!-- xsl:template select="EXPERIMENT" mode="ref" -->
+<xsl:template name="node_ref">
+ <sras:has_attribute>
+ <xsl:attribute rdf:name="rdf:nodeID"><xsl:value-of select="generate-id(node())"/></xsl:attribute>
+ </sras:has_attribute>
+</xsl:template>
+
+<!-- xsl:template name="attribute" mode="nodedetail" -->
+<xsl:template name="node_detail">
+ <sras:attribute>
+ <xsl:attribute rdf:name="rdf:nodeID"><xsl:value-of select="generate-id(node())"/></xsl:attribute>
+ <sras:attribute_name><xsl:value-of select="TAG"/></sras:attribute_name>
+ </sras:attribute>
+ <sras:attribute>
+ <xsl:attribute rdf:name="rdf:nodeID"><xsl:value-of select="generate-id(node())"/></xsl:attribute>
+ <sras:attribute_value><xsl:value-of select="VALUE"/></sras:attribute_value>
+ </sras:attribute>
+</xsl:template>
+
+<!-- try to generate attributes with non blank nodes -->
+<xsl:template name="node_simple">
+ <xsl:variable name="spacelessTag">
+ <xsl:call-template name="string-replace-all">
+ <xsl:with-param name="text" select="TAG" />
+ <xsl:with-param name="replace" select="' '" />
+ <xsl:with-param name="by" select="'_'" />
+ </xsl:call-template>
+ </xsl:variable>
+ <xsl:element name="sraa:{$spacelessTag}"><xsl:value-of select="VALUE"/></xsl:element>
+</xsl:template>
+
+<!-- SUBMISSION TOP LEVEL -->
+<xsl:template match="SUBMISSION">
+ <sras:submission>
+ <xsl:attribute name="rdf:about">http://www.ncbi.nlm.nih.gov/sra/<xsl:value-of select="@accession"/></xsl:attribute>
+ <sras:alias><xsl:value-of select="@alias"/></sras:alias>
+ <sras:comment><xsl:value-of select="@submission_comment"/></sras:comment>
+ <sras:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime"><xsl:value-of select="@submission_date"/></sras:date>
+ <sras:lab_name><xsl:value-of select="@lab_name"/></sras:lab_name>
+ <sras:accession><xsl:value-of select="@accession"/></sras:accession>
+ </sras:submission>
+</xsl:template>
+
+<xsl:template match="STUDY">
+ <sras:study>
+ <xsl:attribute name="rdf:about">http://www.ncbi.nlm.nih.gov/sra/<xsl:value-of select="@accession"/></xsl:attribute>
+ <sras:study_alias><xsl:value-of select="@alias"/></sras:study_alias>
+ <sras:title><xsl:value-of select="DESCRIPTOR/STUDY_TITLE"/></sras:title>
+ <sras:description><xsl:value-of select="normalize-space(DESCRIPTOR/STUDY_DESCRIPTION)"/></sras:description>
+ </sras:study>
+</xsl:template>
+
+<xsl:template match="SAMPLE">
+ <sras:sample>
+ <xsl:attribute name="rdf:about">http://www.ncbi.nlm.nih.gov/sra/<xsl:value-of select="@accession"/></xsl:attribute>
+ <sras:sample_alias><xsl:value-of select="@alias"/></sras:sample_alias>
+ <sras:common_name><xsl:value-of select="SAMPLE_NAME/COMMON_NAME"/></sras:common_name>
+ <sras:description><xsl:value-of select="DESCRIPTION"/></sras:description>
+ <xsl:for-each select="./SAMPLE_ATTRIBUTES/SAMPLE_ATTRIBUTE">
+ <xsl:call-template name="node_simple"/>
+ </xsl:for-each>
+ </sras:sample>
+</xsl:template>
+<xsl:template match="RUN_SET">
+</xsl:template>
+
+<!-- from http://geekswithblogs.net/Erik/archive/2008/04/01/120915.aspx -->
+<xsl:template name="string-replace-all">
+ <xsl:param name="text" />
+ <xsl:param name="replace" />
+ <xsl:param name="by" />
+ <xsl:choose>
+ <xsl:when test="contains($text, $replace)">
+ <xsl:value-of select="substring-before($text,$replace)" />
+ <xsl:value-of select="$by" />
+ <xsl:call-template name="string-replace-all">
+ <xsl:with-param name="text"
+ select="substring-after($text,$replace)" />
+ <xsl:with-param name="replace" select="$replace" />
+ <xsl:with-param name="by" select="$by" />
+ </xsl:call-template>
+ </xsl:when>
+ <xsl:otherwise>
+ <xsl:value-of select="$text" />
+ </xsl:otherwise>
+ </xsl:choose>
+ </xsl:template>
+
+</xsl:stylesheet>
return a list of numbers and non-numeric substrings of +str+
the numeric substrings are converted to integer, non-numeric are left as is
"""
- if type(str) in types.StringTypes:
+ if type(str) in types.StringTypes:
chunks = re.findall("(\d+|\D+)",str)
#convert numeric strings to numbers
- chunks = [re.match('\d',x) and int(x) or x for x in chunks]
+ chunks = [re.match('\d',x) and int(x) or x for x in chunks]
return chunks
elif type(str) in [types.IntType, types.LongType, types.FloatType]:
return [str]
bChunks = chunkify(b)
return cmp(aChunks,bChunks) #built in comparison works once data is prepared
-
-
-
-if __name__ == "__main__":
- unsorted = ["1000X Radonius Maximus","10X Radonius","200X Radonius","20X Radonius","20X Radonius Prime","30X Radonius","40X Radonius","Allegia 50 Clasteron","Allegia 500 Clasteron","Allegia 51 Clasteron","Allegia 51B Clasteron","Allegia 52 Clasteron","Allegia 60 Clasteron","Alpha 100","Alpha 2","Alpha 200","Alpha 2A","Alpha 2A-8000","Alpha 2A-900","Callisto Morphamax","Callisto Morphamax 500","Callisto Morphamax 5000","Callisto Morphamax 600","Callisto Morphamax 700","Callisto Morphamax 7000","Callisto Morphamax 7000 SE","Callisto Morphamax 7000 SE2","QRS-60 Intrinsia Machine","QRS-60F Intrinsia Machine","QRS-62 Intrinsia Machine","QRS-62F Intrinsia Machine","Xiph Xlater 10000","Xiph Xlater 2000","Xiph Xlater 300","Xiph Xlater 40","Xiph Xlater 5","Xiph Xlater 50","Xiph Xlater 500","Xiph Xlater 5000","Xiph Xlater 58"]
- sorted = unsorted[:]
- sorted.sort(alphanum)
- print '+++++Sorted...++++'
- print '\n'.join(sorted)
"""Helper features for working with librdf
"""
+import collections
from datetime import datetime
+from urlparse import urlparse, urlunparse
+from urllib2 import urlopen
import logging
import os
import types
+import lxml.html
+import lxml.html.clean
import RDF
logger = logging.getLogger(__name__)
owlNS = RDF.NS('http://www.w3.org/2002/07/owl#')
dublinCoreNS = RDF.NS("http://purl.org/dc/elements/1.1/")
rdfNS = RDF.NS("http://www.w3.org/1999/02/22-rdf-syntax-ns#")
-rdfsNS= RDF.NS("http://www.w3.org/2000/01/rdf-schema#")
+rdfsNS = RDF.NS("http://www.w3.org/2000/01/rdf-schema#")
xsdNS = RDF.NS("http://www.w3.org/2001/XMLSchema#")
# internal ontologies
-submissionOntology = RDF.NS("http://jumpgate.caltech.edu/wiki/UcscSubmissionOntology#")
+submissionOntology = RDF.NS(
+ "http://jumpgate.caltech.edu/wiki/UcscSubmissionOntology#")
dafTermOntology = RDF.NS("http://jumpgate.caltech.edu/wiki/UcscDaf#")
libraryOntology = RDF.NS("http://jumpgate.caltech.edu/wiki/LibraryOntology#")
-inventoryOntology = RDF.NS("http://jumpgate.caltech.edu/wiki/InventoryOntology#")
+inventoryOntology = RDF.NS(
+ "http://jumpgate.caltech.edu/wiki/InventoryOntology#")
submissionLog = RDF.NS("http://jumpgate.caltech.edu/wiki/SubmissionsLog/")
+geoSoftNS = RDF.NS('http://www.ncbi.nlm.nih.gov/geo/info/soft2.html#')
ISOFORMAT_MS = "%Y-%m-%dT%H:%M:%S.%f"
ISOFORMAT_SHORT = "%Y-%m-%dT%H:%M:%S"
-def sparql_query(model, query_filename):
+
+def sparql_query(model, query_filename, output_format='text'):
"""Execute sparql query from file
"""
logger.info("Opening: %s" % (query_filename,))
- query_body = open(query_filename,'r').read()
+ query_body = open(query_filename, 'r').read()
query = RDF.SPARQLQuery(query_body)
results = query.execute(model)
- display_query_results(results)
+ if output_format == 'html':
+ html_query_results(results)
+ else:
+ display_query_results(results)
+
def display_query_results(results):
+ """A very simple display of sparql query results showing name value pairs
+ """
for row in results:
- output = []
- for k,v in row.items()[::-1]:
- print "{0}: {1}".format(k,v)
+ for k, v in row.items()[::-1]:
+ print "{0}: {1}".format(k, v)
print
+def html_query_results(result_stream):
+ from django.conf import settings
+ from django.template import Context, loader
+
+ # I did this because I couldn't figure out how to
+ # get simplify_rdf into the django template as a filter
+ class Simplified(object):
+ def __init__(self, value):
+ self.simple = simplify_rdf(value)
+ if value.is_resource():
+ self.url = value
+ else:
+ self.url = None
+
+ template = loader.get_template('rdf_report.html')
+ results = []
+ for row in result_stream:
+ new_row = collections.OrderedDict()
+ row_urls = []
+ for k,v in row.items():
+ new_row[k] = Simplified(v)
+ results.append(new_row)
+ context = Context({'results': results,})
+ print template.render(context)
def blankOrUri(value=None):
+ """Return a blank node for None or a resource node for strings.
+ """
node = None
if value is None:
node = RDF.Node()
def toTypedNode(value):
+ """Convert a python variable to a RDF Node with its closest xsd type
+ """
if type(value) == types.BooleanType:
value_type = xsdNS['boolean'].uri
if value:
node = RDF.Node(literal=unicode(value).encode('utf-8'))
return node
+
def fromTypedNode(node):
+ """Convert a typed RDF Node to its closest python equivalent
+ """
if node is None:
return None
- value_type = str(node.literal_value['datatype'])
- # chop off xml schema declaration
- value_type = value_type.replace(str(xsdNS[''].uri),'')
+ value_type = get_node_type(node)
literal = node.literal_value['string']
literal_lower = literal.lower()
elif value_type in ('dateTime'):
try:
return datetime.strptime(literal, ISOFORMAT_MS)
- except ValueError, e:
+ except ValueError, _:
return datetime.strptime(literal, ISOFORMAT_SHORT)
return literal
+def get_node_type(node):
+ """Return just the base name of a XSD datatype:
+ e.g. http://www.w3.org/2001/XMLSchema#integer -> integer
+ """
+ # chop off xml schema declaration
+ value_type = node.literal_value['datatype']
+ if value_type is None:
+ return "string"
+ else:
+ value_type = str(value_type)
+ return value_type.replace(str(xsdNS[''].uri), '')
+
+
+def simplify_rdf(value):
+ """Return a short name for a RDF object
+ e.g. The last part of a URI or an untyped string.
+ """
+ if isinstance(value, RDF.Node):
+ if value.is_resource():
+ name = simplify_uri(str(value.uri))
+ elif value.is_blank():
+ name = '<BLANK>'
+ else:
+ name = value.literal_value['string']
+ elif isinstance(value, RDF.Uri):
+ name = split_uri(str(value))
+ else:
+ name = value
+ return str(name)
+
+
+def simplify_uri(uri):
+ """Split off the end of a uri
+
+ >>> simplify_uri('http://asdf.org/foo/bar')
+ 'bar'
+ >>> simplify_uri('http://asdf.org/foo/bar#bleem')
+ 'bleem'
+ >>> simplify_uri('http://asdf.org/foo/bar/')
+ 'bar'
+ >>> simplify_uri('http://asdf.org/foo/bar?was=foo')
+ 'was=foo'
+ """
+ parsed = urlparse(uri)
+ if len(parsed.query) > 0:
+ return parsed.query
+ elif len(parsed.fragment) > 0:
+ return parsed.fragment
+ elif len(parsed.path) > 0:
+ for element in reversed(parsed.path.split('/')):
+ if len(element) > 0:
+ return element
+ raise ValueError("Unable to simplify %s" % (uri,))
+
+def simplifyUri(namespace, term):
+ """Remove the namespace portion of a term
+
+ returns None if they aren't in common
+ """
+ if isinstance(term, RDF.Node):
+ if term.is_resource():
+ term = term.uri
+ else:
+ raise ValueError("This works on resources")
+ elif not isinstance(term, RDF.Uri):
+ raise ValueError("This works on resources")
+ term_s = str(term)
+ if not term_s.startswith(namespace._prefix):
+ return None
+ return term_s.replace(namespace._prefix, "")
+
+
def get_model(model_name=None, directory=None):
if directory is None:
directory = os.getcwd()
return model
-def load_into_model(model, parser_name, filename, ns=None):
- if not os.path.exists(filename):
- raise IOError("Can't find {0}".format(filename))
-
- data = open(filename, 'r').read()
+def load_into_model(model, parser_name, path, ns=None):
+ url_parts = list(urlparse(path))
+ if len(url_parts[0]) == 0:
+ url_parts[0] = 'file'
+ url_parts[2] = os.path.abspath(url_parts[2])
+ url = urlunparse(url_parts)
+ logger.info("Opening %s" % (url,))
+ req = urlopen(url)
+ logger.debug("request status: %s" % (req.code,))
+ if parser_name is None:
+ content_type = req.headers.get('Content-Type', None)
+ parser_name = guess_parser(content_type, path)
+ logger.debug("Guessed parser: %s" % (parser_name,))
+ data = req.read()
load_string_into_model(model, parser_name, data, ns)
def load_string_into_model(model, parser_name, data, ns=None):
if ns is None:
- ns = "http://localhost/"
-
+ ns = RDF.NS("http://localhost/")
+ imports = owlNS['imports']
rdf_parser = RDF.Parser(name=parser_name)
- rdf_parser.parse_string_into_model(model, data, ns)
+ for s in rdf_parser.parse_string_as_stream(data, ns):
+ if s.predicate == imports:
+ obj = str(s.object)
+ logger.info("Importing %s" % (obj,))
+ load_into_model(model, None, obj, ns)
+ if s.object.is_literal():
+ value_type = get_node_type(s.object)
+ if value_type == 'string':
+ s.object = sanitize_literal(s.object)
+ model.add_statement(s)
+
+
+def sanitize_literal(node):
+ """Clean up a literal string
+ """
+ if not isinstance(node, RDF.Node):
+ raise ValueError("sanitize_literal only works on RDF.Nodes")
+ element = lxml.html.fromstring(node.literal_value['string'])
+ cleaner = lxml.html.clean.Cleaner(page_structure=False)
+ element = cleaner.clean_html(element)
+ text = lxml.html.tostring(element)
+ p_len = 3
+ slash_p_len = 4
+
+ args = {'literal': text[p_len:-slash_p_len]}
+ datatype = node.literal_value['datatype']
+ if datatype is not None:
+ args['datatype'] = datatype
+ language = node.literal_value['language']
+ if language is not None:
+ args['language'] = language
+ return RDF.Node(**args)
+
+
+def guess_parser(content_type, pathname):
+ if content_type in ('application/rdf+xml'):
+ return 'rdfxml'
+ elif content_type in ('application/x-turtle'):
+ return 'turtle'
+ elif content_type in ('text/html'):
+ return 'rdfa'
+ elif content_type is None:
+ _, ext = os.path.splitext(pathname)
+ if ext in ('xml', 'rdf'):
+ return 'rdfxml'
+ elif ext in ('html'):
+ return 'rdfa'
+ elif ext in ('turtle'):
+ return 'turtle'
+ return 'guess'
def get_serializer(name='turtle'):
"""Return a serializer with our standard prefixes loaded
writer.set_namespace('ucscDaf', dafTermOntology._prefix)
return writer
+
def dump_model(model):
serializer = get_serializer()
print serializer.serialize_model_to_string(model)
--- /dev/null
+@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
+@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
+@prefix owl: <http://www.w3.org/2002/07/owl#> .
+
+<http://jumpgate.caltech.edu/wiki/TestCase>
+ rdfs:label "TestCase" .
\ No newline at end of file
for i in xrange(len(scratch)):
self.failUnlessEqual(scratch[i], sorted[i])
+ def test_long_names(self):
+ unsorted = ["1000X Radonius Maximus","10X Radonius","200X Radonius","20X Radonius","20X Radonius Prime","30X Radonius","40X Radonius","Allegia 50 Clasteron","Allegia 500 Clasteron","Allegia 51 Clasteron","Allegia 51B Clasteron","Allegia 52 Clasteron","Allegia 60 Clasteron","Alpha 100","Alpha 2","Alpha 200","Alpha 2A","Alpha 2A-8000","Alpha 2A-900","Callisto Morphamax","Callisto Morphamax 500","Callisto Morphamax 5000","Callisto Morphamax 600","Callisto Morphamax 700","Callisto Morphamax 7000","Callisto Morphamax 7000 SE","Callisto Morphamax 7000 SE2","QRS-60 Intrinsia Machine","QRS-60F Intrinsia Machine","QRS-62 Intrinsia Machine","QRS-62F Intrinsia Machine","Xiph Xlater 10000","Xiph Xlater 2000","Xiph Xlater 300","Xiph Xlater 40","Xiph Xlater 5","Xiph Xlater 50","Xiph Xlater 500","Xiph Xlater 5000","Xiph Xlater 58"]
+ expected = ['10X Radonius', '20X Radonius', '20X Radonius Prime', '30X Radonius', '40X Radonius', '200X Radonius', '1000X Radonius Maximus', 'Allegia 50 Clasteron', 'Allegia 51 Clasteron', 'Allegia 51B Clasteron', 'Allegia 52 Clasteron', 'Allegia 60 Clasteron', 'Allegia 500 Clasteron', 'Alpha 2', 'Alpha 2A', 'Alpha 2A-900', 'Alpha 2A-8000', 'Alpha 100', 'Alpha 200', 'Callisto Morphamax', 'Callisto Morphamax 500', 'Callisto Morphamax 600', 'Callisto Morphamax 700', 'Callisto Morphamax 5000', 'Callisto Morphamax 7000', 'Callisto Morphamax 7000 SE', 'Callisto Morphamax 7000 SE2', 'QRS-60 Intrinsia Machine', 'QRS-60F Intrinsia Machine', 'QRS-62 Intrinsia Machine', 'QRS-62F Intrinsia Machine', 'Xiph Xlater 5', 'Xiph Xlater 40', 'Xiph Xlater 50', 'Xiph Xlater 58', 'Xiph Xlater 300', 'Xiph Xlater 500', 'Xiph Xlater 2000', 'Xiph Xlater 5000', 'Xiph Xlater 10000']
+
+ s = unsorted[:]
+ s.sort(alphanum)
+ self.failUnlessEqual(s, expected)
+
+ def test_bad_input(self):
+ unsorted = [object(), (1,3j)]
+ s = unsorted[:]
+ self.failUnlessRaises(ValueError, s.sort, alphanum)
+
def suite():
return unittest.makeSuite(testAlphanum, 'test')
+import os
import unittest
import types
+
from datetime import datetime
from htsworkflow.util.rdfhelp import \
blankOrUri, \
- toTypedNode, \
+ dump_model, \
fromTypedNode, \
+ get_model, \
+ load_string_into_model, \
+ rdfsNS, \
+ toTypedNode, \
+ simplifyUri, \
+ sanitize_literal, \
xsdNS
try:
- import RDF
-
- class TestRDFHelp(unittest.TestCase):
- def test_typed_node_boolean(self):
- node = toTypedNode(True)
- self.failUnlessEqual(node.literal_value['string'], u'1')
- self.failUnlessEqual(str(node.literal_value['datatype']),
- 'http://www.w3.org/2001/XMLSchema#boolean')
-
- def test_typed_node_string(self):
- node = toTypedNode('hello')
- self.failUnlessEqual(node.literal_value['string'], u'hello')
- self.failUnless(node.literal_value['datatype'] is None)
-
- def test_blank_or_uri_blank(self):
- node = blankOrUri()
- self.failUnlessEqual(node.is_blank(), True)
-
- def test_blank_or_uri_url(self):
- s = 'http://google.com'
- node = blankOrUri(s)
- self.failUnlessEqual(node.is_resource(), True)
- self.failUnlessEqual(str(node.uri), s)
-
- def test_blank_or_uri_node(self):
- s = RDF.Node(RDF.Uri('http://google.com'))
- node = blankOrUri(s)
- self.failUnlessEqual(node.is_resource(), True)
- self.failUnlessEqual(node, s)
-
- def test_unicode_node_roundtrip(self):
- literal = u'\u5927'
- roundtrip = fromTypedNode(toTypedNode(literal))
- self.failUnlessEqual(roundtrip, literal)
- self.failUnlessEqual(type(roundtrip), types.UnicodeType)
-
- def test_datetime_no_microsecond(self):
- dateTimeType = xsdNS['dateTime'].uri
- short_isostamp = '2011-12-20T11:44:25'
- short_node = RDF.Node(literal=short_isostamp,
- datatype=dateTimeType)
- short_datetime = datetime(2011,12,20,11,44,25)
-
- self.assertEqual(fromTypedNode(short_node), short_datetime)
- self.assertEqual(toTypedNode(short_datetime), short_node)
- self.assertEqual(fromTypedNode(toTypedNode(short_datetime)),
- short_datetime)
-
- def test_datetime_with_microsecond(self):
- dateTimeType = xsdNS['dateTime'].uri
- long_isostamp = '2011-12-20T11:44:25.081776'
- long_node = RDF.Node(literal=long_isostamp,
- datatype=dateTimeType)
- long_datetime = datetime(2011,12,20,11,44,25,81776)
-
- self.assertEqual(fromTypedNode(long_node), long_datetime)
- self.assertEqual(toTypedNode(long_datetime), long_node)
- self.assertEqual(fromTypedNode(toTypedNode(long_datetime)),
- long_datetime)
-
- def suite():
- return unittest.makeSuite(testRdfHelp, 'test')
+ import RDF
+
+ class TestRDFHelp(unittest.TestCase):
+ def test_from_none(self):
+ self.failUnlessEqual(fromTypedNode(None), None)
+
+ def test_typed_node_boolean(self):
+ node = toTypedNode(True)
+ self.failUnlessEqual(node.literal_value['string'], u'1')
+ self.failUnlessEqual(str(node.literal_value['datatype']),
+ 'http://www.w3.org/2001/XMLSchema#boolean')
+
+ def test_bad_boolean(self):
+ node = RDF.Node(literal='bad', datatype=xsdNS['boolean'].uri)
+ self.failUnlessRaises(ValueError, fromTypedNode, node)
+
+ def test_typed_node_string(self):
+ node = toTypedNode('hello')
+ self.failUnlessEqual(node.literal_value['string'], u'hello')
+ self.failUnless(node.literal_value['datatype'] is None)
+
+ def test_typed_real_like(self):
+ num = 3.14
+ node = toTypedNode(num)
+ self.failUnlessEqual(fromTypedNode(node), num)
+
+ def test_typed_integer(self):
+ num = 3
+ node = toTypedNode(num)
+ self.failUnlessEqual(fromTypedNode(node), num)
+ self.failUnlessEqual(type(fromTypedNode(node)), type(num))
+
+ def test_typed_node_string(self):
+ s = "Argh matey"
+ node = toTypedNode(s)
+ self.failUnlessEqual(fromTypedNode(node), s)
+ self.failUnlessEqual(type(fromTypedNode(node)), types.UnicodeType)
+
+ def test_blank_or_uri_blank(self):
+ node = blankOrUri()
+ self.failUnlessEqual(node.is_blank(), True)
+
+ def test_blank_or_uri_url(self):
+ s = 'http://google.com'
+ node = blankOrUri(s)
+ self.failUnlessEqual(node.is_resource(), True)
+ self.failUnlessEqual(str(node.uri), s)
+
+ def test_blank_or_uri_node(self):
+ s = RDF.Node(RDF.Uri('http://google.com'))
+ node = blankOrUri(s)
+ self.failUnlessEqual(node.is_resource(), True)
+ self.failUnlessEqual(node, s)
+
+ def test_unicode_node_roundtrip(self):
+ literal = u'\u5927'
+ roundtrip = fromTypedNode(toTypedNode(literal))
+ self.failUnlessEqual(roundtrip, literal)
+ self.failUnlessEqual(type(roundtrip), types.UnicodeType)
+
+ def test_datetime_no_microsecond(self):
+ dateTimeType = xsdNS['dateTime'].uri
+ short_isostamp = '2011-12-20T11:44:25'
+ short_node = RDF.Node(literal=short_isostamp,
+ datatype=dateTimeType)
+ short_datetime = datetime(2011,12,20,11,44,25)
+
+ self.assertEqual(fromTypedNode(short_node), short_datetime)
+ self.assertEqual(toTypedNode(short_datetime), short_node)
+ self.assertEqual(fromTypedNode(toTypedNode(short_datetime)),
+ short_datetime)
+
+ def test_datetime_with_microsecond(self):
+ dateTimeType = xsdNS['dateTime'].uri
+ long_isostamp = '2011-12-20T11:44:25.081776'
+ long_node = RDF.Node(literal=long_isostamp,
+ datatype=dateTimeType)
+ long_datetime = datetime(2011,12,20,11,44,25,81776)
+
+ self.assertEqual(fromTypedNode(long_node), long_datetime)
+ self.assertEqual(toTypedNode(long_datetime), long_node)
+ self.assertEqual(fromTypedNode(toTypedNode(long_datetime)),
+ long_datetime)
+
+ def test_simplify_uri(self):
+ nsOrg = RDF.NS('example.org/example#')
+ nsCom = RDF.NS('example.com/example#')
+
+ term = 'foo'
+ node = nsOrg[term]
+ self.failUnlessEqual(simplifyUri(nsOrg, node), term)
+ self.failUnlessEqual(simplifyUri(nsCom, node), None)
+ self.failUnlessEqual(simplifyUri(nsOrg, node.uri), term)
+
+ def test_simplify_uri_exceptions(self):
+ nsOrg = RDF.NS('example.org/example#')
+ nsCom = RDF.NS('example.com/example#')
+
+ node = toTypedNode('bad')
+ self.failUnlessRaises(ValueError, simplifyUri, nsOrg, node)
+ self.failUnlessRaises(ValueError, simplifyUri, nsOrg, nsOrg)
+
+ def test_owl_import(self):
+ path, name = os.path.split(__file__)
+ loc = 'file://'+os.path.abspath(path)+'/'
+ model = get_model()
+ fragment = '''
+@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
+@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
+@prefix owl: <http://www.w3.org/2002/07/owl#> .
+
+_:a owl:imports "{loc}extra.turtle" .
+'''.format(loc=loc)
+ load_string_into_model(model, 'turtle', fragment, loc)
+ tc = RDF.Node(RDF.Uri('http://jumpgate.caltech.edu/wiki/TestCase'))
+ query = RDF.Statement(tc, rdfsNS['label'], None)
+ result = list(model.find_statements(query))
+ self.failUnlessEqual(len(result), 1)
+ self.failUnlessEqual(str(result[0].object), 'TestCase')
+
+ def test_sanitize_literal_text(self):
+ self.failUnlessRaises(ValueError, sanitize_literal, "hi")
+ hello_text = "hello"
+ hello_none = RDF.Node(hello_text)
+ self.failUnlessEqual(str(sanitize_literal(hello_none)),
+ hello_text)
+ hello_str = RDF.Node(literal=hello_text,
+ datatype=xsdNS['string'].uri)
+ hello_clean = sanitize_literal(hello_str)
+ self.failUnlessEqual(hello_clean.literal_value['string'],
+ hello_text)
+
+ def test_sanitize_literal_html(self):
+ hello = "hello <a onload='javascript:alert(\"foo\");' href='http://google.com'>google.com</a>, whats up?"
+ hello_clean = 'hello <a href="http://google.com">google.com</a>, whats up?'
+ hello_node = RDF.Node(literal=hello,
+ datatype=xsdNS['string'].uri)
+ hello_sanitized = sanitize_literal(hello_node)
+ self.failUnlessEqual(hello_sanitized.literal_value['string'],
+ hello_clean)
+
+ hostile = "hi <b>there</b><script type='text/javascript>alert('boo');</script><a href='javascript:alert('poke')>evil</a> scammer"
+ hostile_node = RDF.Node(hostile)
+ hostile_sanitized = sanitize_literal(hostile_node)
+ # so it drops the stuff after the javascript link.
+ # I suppose it could be worse
+ hostile_result = """hi <b>there</b>"""
+ self.failUnlessEqual(str(hostile_sanitized), hostile_result)
+
+
+ def suite():
+ return unittest.makeSuite(TestRDFHelp, 'test')
except ImportError, e:
print "Unable to test rdfhelp"
projects / htsworkflow.git / commitdiff
