Mercurial > repos > chmaramis > testirprofiler
diff cmpb2016/pub_clono_CDR3.py @ 0:8be019b173e6 draft
Uploaded included tools
| author | chmaramis |
|---|---|
| date | Sun, 18 Mar 2018 05:54:20 -0400 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/cmpb2016/pub_clono_CDR3.py Sun Mar 18 05:54:20 2018 -0400 @@ -0,0 +1,75 @@ +# -*- coding: utf-8 -*- +""" +Created on Mon Dec 21 18:26:01 2015 + +@author: chmaramis +""" + +from __future__ import division +import numpy as np +from pandas import * +from numpy import nan as NA +import sys +import time + + + +def publicCDR3Func(inputs,thres): + + cdr3=DataFrame() + + for x in range(0,len(inputs),2): + cl = DataFrame() + cl = read_csv(inputs[x] , sep = '\t' , index_col = 0) + #tp = read_csv(inp_name, iterator=True, chunksize=5000,sep='\t', index_col=0 ) + #cl = concat([chunk for chunk in tp]) + + if (thres != 'null'): + cl = cl[cl['Reads'] > int(thres)] + + x1 = inputs[x+1].split('_') + + del cl['Reads'] + cl.columns = [cl.columns[0], x1[0]+' '+cl.columns[1], x1[0]+' Relative '+cl.columns[2]] + + if cdr3.empty: + cdr3 = cl + else: + cdr3 = cdr3.merge(cl, how='outer', on='AA JUNCTION') + + + col = cdr3.columns + freqs = col.map(lambda x: 'Frequency' in x) + reads = col.map(lambda x: 'Reads/Total' in x) + + cdr3[col[freqs]] = cdr3[col[freqs]].fillna(0) + cdr3[col[reads]] = cdr3[col[reads]].fillna('0/*') + + cdr3['Num of Patients']= cdr3[col[freqs]].apply(lambda x: np.sum(x != 0), axis=1) + + cdr3 = cdr3[cdr3['Num of Patients'] > 1] + + cdr3.index = range(1,len(cdr3)+1) + + return cdr3 + + +if __name__ == '__main__': + + start=time.time() + + # Parse input arguments + threshold = sys.argv[2] + arg = sys.argv[3:] + output = sys.argv[1] + + # Execute basic function + mer = publicCDR3Func(arg,threshold) + + # Save output to CSV files + if not mer.empty: + mer.to_csv(output , sep = '\t') + + # Print execution time + stop=time.time() + print('Runtime:' + str(stop-start))
