Mercurial > repos > miller-lab > genome_diversity
view calctfreq.py @ 9:22fe0154fa54
added support for heterochromatic regions
author | Richard Burhans <burhans@bx.psu.edu> |
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date | Tue, 10 Jul 2012 11:41:22 -0400 |
parents | 2c498d40ecde |
children | d6b961721037 |
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#!/usr/bin/env python # -*- coding: utf-8 -*- # # calcfreq.py # # Copyright 2011 Oscar Bedoya-Reina <oscar@niska.bx.psu.edu> # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, # MA 02110-1301, USA. import argparse,os,sys from decimal import Decimal,getcontext from LocationFile import LocationFile #method to rank the the pthways by mut. freq. def rankd(ltfreqs): ordvals=sorted(ltfreqs)#sort and reverse freqs. #~ outrnk=[] tmpFreq0,tmpCount,tmpPthw=ordvals.pop()#the highest possible value crank=1 outrnk.append('\t'.join([str(tmpCount),str(tmpFreq0),str(crank),tmpPthw])) totalnvals=len(ordvals) cnt=0 while totalnvals>cnt: cnt+=1 tmpFreq,tmpCount,tmpPthw=ordvals.pop() if tmpFreq!=tmpFreq0: crank=len(outrnk)+1 tmpFreq0=tmpFreq outrnk.append('\t'.join([str(tmpCount),str(tmpFreq),str(crank),tmpPthw])) return outrnk def main(): parser = argparse.ArgumentParser(description='Obtain KEGG images from a list of genes.') parser.add_argument('--input',metavar='input TXT file',type=str,help='the input file with the table in txt format') parser.add_argument('--output',metavar='output TXT file',type=str,help='the output file with the table in txt format. Column 1 is the count of genes in the list, Column 2 is the percentage of the pathway genes present on the list. Column 3 is the rank based on column 2') parser.add_argument('--posKEGGclmn',metavar='column number',type=int,help='the column with the KEGG pathway code/name') parser.add_argument('--KEGGgeneposcolmn',metavar='column number',type=int,help='column with the KEGG gene code') parser.add_argument('--loc_file',metavar='location file',type=str,help='location file') parser.add_argument('--species',metavar='species',type=str,help='species') #~Open arguments class C(object): pass fulargs=C() parser.parse_args(sys.argv[1:],namespace=fulargs) #test input vars inputf,outputf,posKEGGclmn,Kgeneposcolmn=fulargs.input,fulargs.output,fulargs.posKEGGclmn,fulargs.KEGGgeneposcolmn locf,species=fulargs.loc_file,fulargs.species #make a dictionary of valid genes posKEGGclmn-=1 Kgeneposcolmn-=1 dKEGGcPthws=dict([(x.split('\t')[Kgeneposcolmn],set(x.split('\t')[posKEGGclmn].split('.'))) for x in open(inputf).read().splitlines()[1:] if x.strip()]) sdGenes=set([x for x in dKEGGcPthws.keys() if x.find('.')>-1]) while True:#to correct names with more than one gene try: mgenes=sdGenes.pop() pthwsAssotd=dKEGGcPthws.pop(mgenes) mgenes=mgenes.split('.') for eachg in mgenes: dKEGGcPthws[eachg]=pthwsAssotd except: break #~ Count genes getcontext().prec=2#set 2 decimal places location_file = LocationFile(locf) prefix, kxml_dir_path, dict_file = location_file.get_values(species) dPthContsTotls = {} try: with open(dict_file) as fh: for line in fh: line = line.rstrip('\r\n') value, key = line.split('\t') dPthContsTotls[key] = int(value) except IOError, err: print >> sys.stderr, 'Error opening dict file {0}: {1}'.format(dict_file, err.strerror) sys.exit(1) dPthContsTmp=dict([(x,0) for x in dPthContsTotls.keys()])#create a list of genes sdGenes=set([x for x in dKEGGcPthws.keys()])#list of all genes cntGens=0 ltGens=len(sdGenes) while cntGens<ltGens: cGen=sdGenes.pop() sKEGGcPthws=dKEGGcPthws.pop(cGen) for eachP in sKEGGcPthws: if eachP!='N': dPthContsTmp[eachP]+=1 cntGens+=1 #~ Calculate Freqs. ltfreqs=[((Decimal(dPthContsTmp[x])/Decimal(dPthContsTotls[x])),Decimal(dPthContsTmp[x]),x) for x in dPthContsTotls] tabllfreqs='\n'.join(rankd(ltfreqs)) salef=open(outputf,'w') salef.write(tabllfreqs) salef.close() return 0 if __name__ == '__main__': main()