Mercurial > repos > xuebing > sharplabtool
view tools/mytools/metaintv_ext.py @ 1:cdcb0ce84a1b
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author | xuebing |
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date | Fri, 09 Mar 2012 19:45:15 -0500 |
parents | 9071e359b9a3 |
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''' get binned score of intervals,allow extension ''' import os,sys,numpy import string, random from resize import * from bx.bbi.bigwig_file import BigWigFile def binning(x,n): # make n bin of x y = numpy.zeros(n,dtype=float) if len(x) == 0: return y step = float(len(x))/n for k in range(n): i = int(step*k) j = int(step*(k+1)) + 1 y[k] = x[i:j].mean() #print i,j,k,y[k] return y def getBinnedScore(bwfile,intvfile,nbin): ''' get binned average and std ''' fbw = open(bwfile) bw = BigWigFile(file=fbw) fin = open(intvfile) avg = numpy.zeros(nbin) sqr = numpy.zeros(nbin) N = 0 for line in fin: #print N #chrom,start,end,name,score,strand flds = line.strip().split('\t') #get the score at base resolution as an array scores = bw.get_as_array(flds[0],int(flds[1]),int(flds[2])) if scores == None: print 'not found:\t',N,line continue N = N + 1 #print line,scores # reverse if on minus strand if flds[5] == '-': scores = scores[::-1] # no score = 0 scores = numpy.nan_to_num(scores) # bin the data binned = binning(scores,nbin) avg = avg + binned sqr = sqr + binned**2 # compute avg and std avg = avg / N err = ((sqr/N-avg**2)**0.5)/(N**0.5) return avg,err,N def getExtendedBinScore(bwfile,intvfile,nbins,exts): ''' nbins: n1,n2,n3 exts: l1,l2,l3,l4 ''' avg = [] err = [] tmpfile = "".join(random.sample(string.letters+string.digits, 8)) if exts[0]>0 or exts[1]>0: print 'make left extension' resize(intvfile,tmpfile,'start-'+str(exts[0]),'start+'+str(exts[1]),'stranded') print 'compute binned average' avg,err,N = getBinnedScore(bwfile,tmpfile,nbins[0]) print 'regions used:',N print 'make center region' resize(intvfile,tmpfile,'start+'+str(exts[1]),'end-'+str(exts[2]),'stranded') print 'compute binned average' avg1,err1,N = getBinnedScore(bwfile,tmpfile,nbins[1]) print 'regions used:',N avg = numpy.concatenate((avg,avg1)) err = numpy.concatenate((err,err1)) if exts[2]>0 or exts[3]>0: print 'make right region' resize(intvfile,tmpfile,'end-'+str(exts[2]),'end+'+str(exts[3]),'stranded') print 'compute binned average' avg2,err2,N = getBinnedScore(bwfile,tmpfile,nbins[2]) print 'regions used:',N avg = numpy.concatenate((avg,avg2)) err = numpy.concatenate((err,err2)) os.system('rm '+tmpfile) return avg,err prog,bwfile,intvfile,exts,nbins,outfile,outplot = sys.argv nbins = numpy.fromstring(nbins,dtype=int,sep=',') exts = numpy.fromstring(exts,dtype=int,sep=',') avg, err = getExtendedBinScore(bwfile,intvfile,nbins,exts) print 'save data' out = open(outfile,'w') numpy.savetxt(out, avg, fmt='%.6f', delimiter=' ', newline=' ') out.write('\n') numpy.savetxt(out, err, fmt='%.6f', delimiter=' ', newline=' ') out.write('\n') out.close() print 'plot' start = exts[0]*nbins[0]/(exts[0]+exts[1]) end = nbins[0]+nbins[1]+exts[2]*nbins[2]/(exts[2]+exts[3]) #print start,end rscript = open("tmp.r","w") rscript.write("options(warn=-1)\n") rscript.write("x <- read.table('"+outfile+"')\n") rscript.write("pdf('"+outplot+"')\n") rscript.write("avg <- x[1,]\n") rscript.write("err <- x[2,]\n") #rscript.write("print(x)\n") rscript.write("ylim=c(min(avg-err),max(avg+err))\n") rscript.write("xticks <- seq(ncol(x))\n") #rscript.write("print(xticks)\n") rscript.write("plot(xticks,avg,xlab='',ylab='average coverage',type='l',lwd=0,ylim=ylim,xaxt='n')\n") rscript.write("axis(1, at=c(min(xticks),"+str(start)+","+str(end)+",max(xticks)),labels=c(-"+str(exts[0])+",0,0,"+str(exts[3])+"), las=2)\n") rscript.write("polygon(c(xticks,rev(xticks)),c(avg+err,rev(avg-err)),col='lightgreen',border=NA)\n") rscript.write("lines(xticks,avg,type='l',lwd=1)\n") rscript.write("lines(c(min(xticks),max(xticks)),c(0,0),lwd=2)\n") rscript.write("lines(c("+str(start)+","+str(end)+"),c(0,0),lwd=10)\n") rscript.write("dev.off()\n") rscript.close() os.system("R --vanilla --slave < tmp.r") os.system("rm tmp.r")