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1 import sys
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2 import pandas as pd
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3
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4 def main():
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5 patients = {}
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6 files = []
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7 sample_id = sys.argv[1]
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8 imgt_files = 0
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9 blast_files = 0
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10 #organize files
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11 for arg in sys.argv[2:-2]:
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12 if arg.find("/") is -1:
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13 patients[sample_id] = files
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14 files = []
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15 sample_id = arg
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16 else:
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17 df = pd.read_csv(arg, sep="\t")
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18 if "Functionality" in list(df.columns.values):
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19 df["VDJ Frame"][df["Functionality"] != "productive"] = "In-frame with stop codon"
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20 imgt_files += 1
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21 else:
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22 blast_files += 1
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23 files.append(df)
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24 patients[sample_id] = files
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25 columns = [u'ID', u'VDJ Frame', u'Top V Gene', u'Top D Gene', u'Top J Gene', u'CDR1 Seq', u'CDR1 Length', u'CDR2 Seq', u'CDR2 Length', u'CDR3 Seq', u'CDR3 Length', u'CDR3 Seq DNA', u'CDR3 Length DNA', u'Strand', u'CDR3 Found How', u'Functionality', 'V-REGION identity %', 'V-REGION identity nt', 'D-REGION reading frame', 'AA JUNCTION', 'Functionality comment', 'Sequence', 'FR1-IMGT', 'FR2-IMGT', 'FR3-IMGT', 'CDR3-IMGT', 'JUNCTION', 'J-REGION', 'FR4-IMGT', 'P3V-nt nb', 'N1-REGION-nt nb', 'P5D-nt nb', 'P3D-nt nb', 'N2-REGION-nt nb', 'P5J-nt nb', '3V-REGION trimmed-nt nb', '5D-REGION trimmed-nt nb', '3D-REGION trimmed-nt nb', '5J-REGION trimmed-nt nb', u'Sample', u'Replicate']
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26 if blast_files is not 0:
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27 print "Has a parsed blastn file, using limited columns."
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28 columns = [u'ID', u'VDJ Frame', u'Top V Gene', u'Top D Gene', u'Top J Gene', u'CDR1 Seq', u'CDR1 Length', u'CDR2 Seq', u'CDR2 Length', u'CDR3 Seq', u'CDR3 Length', u'CDR3 Seq DNA', u'CDR3 Length DNA', u'Strand', u'CDR3 Found How', u'Sample', u'Replicate']
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29
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30 result = None
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31 for patient_id, samples in patients.iteritems():
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32 count = 1
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33 for sample in samples:
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34 sample['Sample'] = patient_id
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35 sample['Replicate'] = str(count)
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36 count += 1
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37 if result is None:
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38 result = sample[columns]
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39 else:
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40 result = result.append(sample[columns])
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41 result.to_csv(sys.argv[-1], sep="\t", index=False, index_label="index")
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42
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43 if __name__ == "__main__":
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44 main()
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