os.mkdir(gerald_dir)
make_gerald_config(gerald_dir)
make_summary100_htm(gerald_dir)
- make_eland_results(gerald_dir)
+ make_eland_multi(gerald_dir)
if obj is not None:
obj.temp_dir = temp_dir
self.failUnlessEqual(cur_lane.read_length, '32')
self.failUnlessEqual(cur_lane.use_bases, 'Y'*32)
+ # I want to be able to use a simple iterator
+ for l in g.lanes.values():
+ self.failUnlessEqual(l.analysis, 'eland')
+ self.failUnlessEqual(l.read_length, '32')
+ self.failUnlessEqual(l.use_bases, 'Y'*32)
+
# test data extracted from summary file
clusters = [None,
(96483, 9074), (133738, 7938),
def test_eland(self):
- dm3_map = { 'chrUextra.fa' : 'dm3/chrUextra.fa',
- 'chr2L.fa': 'dm3/chr2L.fa',
- 'Lambda.fa': 'Lambda.fa'}
- 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 }
+ hg_map = {'Lambda.fa': 'Lambda.fa'}
+ for i in range(1,22):
+ short_name = 'chr%d.fa' % (i,)
+ long_name = 'hg18/chr%d.fa' % (i,)
+ hg_map[short_name] = long_name
+
+ genome_maps = { '1':hg_map, '2':hg_map, '3':hg_map, '4':hg_map,
+ '5':hg_map, '6':hg_map, '7':hg_map, '8':hg_map }
eland = gerald.eland(self.gerald_dir, genome_maps=genome_maps)
for i in range(1,9):
self.failUnlessEqual(lane.reads, 4)
self.failUnlessEqual(lane.sample_name, "s")
self.failUnlessEqual(lane.lane_id, unicode(i))
- self.failUnlessEqual(len(lane.mapped_reads), 3)
- self.failUnlessEqual(lane.mapped_reads['Lambda.fa'], 1)
- self.failUnlessEqual(lane.mapped_reads['dm3/chr2L.fa'], 1)
- self.failUnlessEqual(lane.match_codes['U1'], 2)
+ self.failUnlessEqual(len(lane.mapped_reads), 15)
+ self.failUnlessEqual(lane.mapped_reads['hg18/chr5.fa'], 4)
+ self.failUnlessEqual(lane.match_codes['U1'], 10)
self.failUnlessEqual(lane.match_codes['NM'], 1)
+ self.failUnlessEqual(lane.match_codes['QC'], 0)
xml = eland.get_elements()
# just make sure that element tree can serialize the tree
self.failUnlessEqual(l1.sample_name, l2.sample_name)
self.failUnlessEqual(l1.lane_id, l2.lane_id)
self.failUnlessEqual(len(l1.mapped_reads), len(l2.mapped_reads))
- self.failUnlessEqual(len(l1.mapped_reads), 3)
+ self.failUnlessEqual(len(l1.mapped_reads), 15)
for k in l1.mapped_reads.keys():
self.failUnlessEqual(l1.mapped_reads[k],
l2.mapped_reads[k])
# do we get the flowcell id from the filename?
self.failUnlessEqual(len(runs), 1)
- self.failUnlessEqual(runs[0].name, 'run_207BTAAXX_2008-10-30.xml')
+ name = 'run_207BTAAXX_%s.xml' % ( date.today().strftime('%Y-%m-%d'),)
+ self.failUnlessEqual(runs[0].name, name)
# do we get the flowcell id from the FlowcellId.xml file
make_flowcell_id(self.runfolder_dir, '207BTAAXY')
runs = runfolder.get_runs(self.runfolder_dir)
self.failUnlessEqual(len(runs), 1)
- self.failUnlessEqual(runs[0].name, 'run_207BTAAXY_2008-10-30.xml')
+ name = 'run_207BTAAXY_%s.xml' % ( date.today().strftime('%Y-%m-%d'),)
+ self.failUnlessEqual(runs[0].name, name)
r1 = runs[0]
xml = r1.get_elements()