def split_demultiplexed_sampledata(data, demultiplexed):
"""
splits demultiplexed samples into separate entries in the global sample
datadict
"""
datadicts = []
samplename = dd.get_sample_name(data)
for fastq in demultiplexed:
barcode = os.path.basename(fastq).split(".")[0]
datadict = copy.deepcopy(data)
datadict = dd.set_sample_name(datadict, samplename + "-" + barcode)
datadict = dd.set_description(datadict, samplename + "-" + barcode)
datadict["rgnames"]["rg"] = samplename + "-" + barcode
datadict["name"] = ["", samplename + "-" + barcode]
datadict["files"] = [fastq]
datadicts.append(datadict)
return datadicts
def split_demultiplexed_sampledata(data, demultiplexed):
"""
splits demultiplexed samples into separate entries in the global sample
datadict
"""
datadicts = []
samplename = dd.get_sample_name(data)
for fastq in demultiplexed:
barcode = os.path.basename(fastq).split(".")[0]
datadict = copy.deepcopy(data)
datadict = dd.set_sample_name(datadict, samplename + "-" + barcode)
datadict = dd.set_description(datadict, samplename + "-" + barcode)
datadict["rgnames"]["rg"] = samplename + "-" + barcode
datadict["name"]= ["", samplename + "-" + barcode]
datadict["files"] = [fastq]
datadicts.append(datadict)
return datadicts
