Mercurial > repos > xuebing > sharplabtool
diff intersectSig.py @ 11:b7f1d9f8f3bc
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author | xuebing |
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date | Sat, 10 Mar 2012 07:59:27 -0500 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/intersectSig.py Sat Mar 10 07:59:27 2012 -0500 @@ -0,0 +1,90 @@ +''' +find overlap and test signifiance +''' + +import os,sys + +def lineCount(filename): + if os.stat(filename).st_size == 0: + return 0 + with open(filename) as f: + for i, l in enumerate(f): + pass + print i + return i+1 + +def intersect(fileA,fileB,outfile,fraction,reciprocal): + # return fileA intervals that overlap with interval in fileB + cmd = 'intersectBed -a '+fileA+' -b '+fileB + ' -u -wa -f '+fraction +' '+ reciprocal + '>'+outfile + #print cmd + os.system(cmd) + +def shuffle(fileA,fileB,genomefile,fraction,reciprocal,N): + # shuffle fileA N times, return the distribution of overlaps + nOverlap = [] + for i in range(N): + # shuffle fileA using shuffleBed + #cmd = 'shuffleBed -i '+fileA+' -g '+genomefile +'>fileA.shuffled' + # using random_interval.py + cmd = 'python /Users/xuebing/galaxy-dist/tools/mytools/random_interval.py '+fileA+' fileA.shuffled across '+genomefile + os.system(cmd) + intersect('fileA.shuffled',fileB,'tmp',fraction,reciprocal) + nOverlap.append(lineCount('tmp')) + os.system('rm tmp') + os.system('rm fileA.shuffled') + return nOverlap + +def main(): + fileA = sys.argv[1] + fileB = sys.argv[2] + outfile = sys.argv[3] + outplot = sys.argv[4] + outshuffle = sys.argv[5] + N = int(sys.argv[6]) # times to shuffle + genomefile = sys.argv[7] + fraction = sys.argv[8] + if len(sys.argv) == 10: + reciprocal = sys.argv[9] # can only be '-r' + else: + reciprocal = '' + + #print sys.argv + + # number of lines in input + nA = lineCount(fileA) + nB = lineCount(fileB) + + # intersect on real data + intersect(fileA,fileB,outfile,fraction,reciprocal) + # number of overlaps + nOverlapReal = lineCount(outfile) + + #print 'number of intervals in inputA that overlap with intervals in inputB:',nOverlapReal + + # shuffle fileA to estimate background + nOverlapNull = shuffle(fileA,fileB,genomefile,fraction,reciprocal,N) + out = open(outshuffle,'w') + out.write("\t".join(map(str,nOverlapNull))) + out.close() + + # plot histogram + rscript = open('tmp.r','w') + rscript.write("options(warn=-1)\n") + rscript.write("x0 <- "+str(nOverlapReal)+"\n") + rscript.write("x <- c("+','.join(map(str,nOverlapNull))+")\n") + rscript.write("library(MASS)\n") + rscript.write("pv <- min((1+sum(x>=x0))/length(x),(1+sum(x<=x0))/length(x))\n") + rscript.write("title <- paste('actual:chance = ',x0,':',format(mean(x),digits=1,nsmall=1),' = ',format(x0/mean(x),digits=1,nsmall=2),', p-value < ',pv,sep='')\n") + rscript.write("pdf('"+outplot+"')\n") + rscript.write("library(grid)\n") + rscript.write("library(VennDiagram)\n") + rscript.write("venn <- venn.diagram(x=list(A=1:"+str(nA)+",B="+str(nA-nOverlapReal+1)+":"+str(nA+nB-nOverlapReal)+"),filename=NULL,fill=c('red','blue'),col='transparent',alpha=0.5,label.col='black',cex=3,lwd=0,fontfamily='serif',fontface='bold',cat.col = c('red', 'blue'),cat.cex=3,cat.fontfamily='serif',cat.fontface='bold')\n") + rscript.write("grid.draw(venn)\n") + rscript.write("h <- hist(x,breaks=50,xlab='number of overlaps',ylab='frequency',main=title)\n") + rscript.write("plot(h$mids,h$counts,type='h',xlim=c(min(h$mids,x0),max(x0,h$mids)),ylim=c(0,max(h$counts)),xlab='number of overlaps',ylab='frequency',main=title)\n") + rscript.write("points(x0,0,col='red')\n") + rscript.write("dev.off()\n") + rscript.close() + os.system("R --vanilla < tmp.r") + os.system('rm tmp.r') +main()