This might actually generate soft file with raw & supplemental data.
[htsworkflow.git] / htsworkflow / submission / condorfastq.py
index 01fe6c5a19274869b22e41821011135ee8ccb6ae..f78a964c978da660d88f5ac8f263cc7f54f15149 100644 (file)
@@ -195,7 +195,6 @@ WHERE {
             imported = False
             a_lane = self.model.get_target(r['flowcell'],
                                            libraryOntology['has_lane'])
-            print a_lane
             if a_lane is None:
                 imported = True
                 # we lack information about which lanes were on this flowcell