Mercurial > repos > xuebing > sharplabtool
comparison metaintv_ext.py @ 14:76e1b1b21cce default tip
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author | xuebing |
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date | Tue, 13 Mar 2012 19:05:10 -0400 |
parents | 292186c14b08 |
children |
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13:292186c14b08 | 14:76e1b1b21cce |
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1 ''' | |
2 get binned score of intervals,allow extension | |
3 ''' | |
4 | |
5 import os,sys,numpy | |
6 import string, random | |
7 | |
8 from resize import * | |
9 | |
10 from bx.bbi.bigwig_file import BigWigFile | |
11 | |
12 def binning(x,n): | |
13 # make n bin of x | |
14 y = numpy.zeros(n,dtype=float) | |
15 if len(x) == 0: | |
16 return y | |
17 step = float(len(x))/n | |
18 for k in range(n): | |
19 i = int(step*k) | |
20 j = int(step*(k+1)) + 1 | |
21 y[k] = x[i:j].mean() | |
22 #print i,j,k,y[k] | |
23 return y | |
24 | |
25 def getBinnedScore(bwfile,intvfile,nbin): | |
26 ''' | |
27 get binned average and std | |
28 ''' | |
29 fbw = open(bwfile) | |
30 bw = BigWigFile(file=fbw) | |
31 fin = open(intvfile) | |
32 avg = numpy.zeros(nbin) | |
33 sqr = numpy.zeros(nbin) | |
34 N = 0 | |
35 for line in fin: | |
36 #print N | |
37 #chrom,start,end,name,score,strand | |
38 flds = line.strip().split('\t') | |
39 #get the score at base resolution as an array | |
40 scores = bw.get_as_array(flds[0],int(flds[1]),int(flds[2])) | |
41 if scores == None: | |
42 print 'not found:\t',N,line | |
43 continue | |
44 N = N + 1 | |
45 #print line,scores | |
46 # reverse if on minus strand | |
47 if flds[5] == '-': | |
48 scores = scores[::-1] | |
49 # no score = 0 | |
50 scores = numpy.nan_to_num(scores) | |
51 # bin the data | |
52 binned = binning(scores,nbin) | |
53 avg = avg + binned | |
54 sqr = sqr + binned**2 | |
55 # compute avg and std | |
56 avg = avg / N | |
57 err = ((sqr/N-avg**2)**0.5)/(N**0.5) | |
58 return avg,err,N | |
59 | |
60 def getExtendedBinScore(bwfile,intvfile,nbins,exts): | |
61 ''' | |
62 nbins: n1,n2,n3 | |
63 exts: l1,l2,l3,l4 | |
64 ''' | |
65 avg = [] | |
66 err = [] | |
67 tmpfile = "".join(random.sample(string.letters+string.digits, 8)) | |
68 if exts[0]>0 or exts[1]>0: | |
69 print 'make left extension' | |
70 resize(intvfile,tmpfile,'start-'+str(exts[0]),'start+'+str(exts[1]),'stranded') | |
71 print 'compute binned average' | |
72 avg,err,N = getBinnedScore(bwfile,tmpfile,nbins[0]) | |
73 print 'regions used:',N | |
74 print 'make center region' | |
75 resize(intvfile,tmpfile,'start+'+str(exts[1]),'end-'+str(exts[2]),'stranded') | |
76 print 'compute binned average' | |
77 avg1,err1,N = getBinnedScore(bwfile,tmpfile,nbins[1]) | |
78 print 'regions used:',N | |
79 avg = numpy.concatenate((avg,avg1)) | |
80 err = numpy.concatenate((err,err1)) | |
81 if exts[2]>0 or exts[3]>0: | |
82 print 'make right region' | |
83 resize(intvfile,tmpfile,'end-'+str(exts[2]),'end+'+str(exts[3]),'stranded') | |
84 print 'compute binned average' | |
85 avg2,err2,N = getBinnedScore(bwfile,tmpfile,nbins[2]) | |
86 print 'regions used:',N | |
87 avg = numpy.concatenate((avg,avg2)) | |
88 err = numpy.concatenate((err,err2)) | |
89 os.system('rm '+tmpfile) | |
90 return avg,err | |
91 | |
92 prog,bwfile,intvfile,exts,nbins,outfile,outplot = sys.argv | |
93 nbins = numpy.fromstring(nbins,dtype=int,sep=',') | |
94 exts = numpy.fromstring(exts,dtype=int,sep=',') | |
95 avg, err = getExtendedBinScore(bwfile,intvfile,nbins,exts) | |
96 print 'save data' | |
97 out = open(outfile,'w') | |
98 numpy.savetxt(out, avg, fmt='%.6f', delimiter=' ', newline=' ') | |
99 out.write('\n') | |
100 numpy.savetxt(out, err, fmt='%.6f', delimiter=' ', newline=' ') | |
101 out.write('\n') | |
102 out.close() | |
103 | |
104 print 'plot' | |
105 start = exts[0]*nbins[0]/(exts[0]+exts[1]) | |
106 end = nbins[0]+nbins[1]+exts[2]*nbins[2]/(exts[2]+exts[3]) | |
107 #print start,end | |
108 rscript = open("tmp.r","w") | |
109 rscript.write("options(warn=-1)\n") | |
110 rscript.write("x <- read.table('"+outfile+"')\n") | |
111 rscript.write("pdf('"+outplot+"')\n") | |
112 rscript.write("avg <- x[1,]\n") | |
113 rscript.write("err <- x[2,]\n") | |
114 #rscript.write("print(x)\n") | |
115 rscript.write("ylim=c(min(avg-err),max(avg+err))\n") | |
116 rscript.write("xticks <- seq(ncol(x))\n") | |
117 #rscript.write("print(xticks)\n") | |
118 rscript.write("plot(xticks,avg,xlab='',ylab='average coverage',type='l',lwd=0,ylim=ylim,xaxt='n')\n") | |
119 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") | |
120 rscript.write("polygon(c(xticks,rev(xticks)),c(avg+err,rev(avg-err)),col='lightgreen',border=NA)\n") | |
121 rscript.write("lines(xticks,avg,type='l',lwd=1)\n") | |
122 rscript.write("lines(c(min(xticks),max(xticks)),c(0,0),lwd=2)\n") | |
123 rscript.write("lines(c("+str(start)+","+str(end)+"),c(0,0),lwd=10)\n") | |
124 rscript.write("dev.off()\n") | |
125 rscript.close() | |
126 os.system("R --vanilla --slave < tmp.r") | |
127 os.system("rm tmp.r") | |
128 |