From cab3c141f3555cc50fee5bf0557c5df6bdb84f41 Mon Sep 17 00:00:00 2001 From: kcakedemir Date: Mon, 11 Jan 2016 09:37:50 -0600 Subject: [PATCH] HiCPlotter version 0.5.1 A manual is now available for HiCPlotter parameters. Epilogos plotting: HiCPlotter can now visualize Hi-C data with Epilogos (http://compbio.mit.edu/epilogos/#) from Kellis lab. Please check the manual for the parameters. Whole genome plotting with triple sparse file format is fixed. Please use -wg parameter with -chr, (-chrY for whole genome interactions, otherwise enter a particular chromosome name until which interactions profiles will be plotted). Please check the ReadMe page for examples. A new parameter (-hc) is introduced to color the area under histograms. Same as -tc/-ac please provide a hexadecimal number. --- HiCPlotter.py | 260 +++++++++++++----- HiCPlotterManual.pdf | Bin 0 -> 131399 bytes README.md | 86 ++++-- .../Epilogos-chr10.ofBins(2500-5000).25K.jpeg | Bin 0 -> 679068 bytes ...xD-chr2.ofBins(1830-1880).Colored.40K.jpeg | Bin 0 -> 360225 bytes examplePlots/hES-WholeGenome.chr11-1000K.jpeg | Bin 0 -> 499186 bytes examplePlots/hES-WholeGenome.chrY-1000K.jpeg | Bin 0 -> 521687 bytes 7 files changed, 244 insertions(+), 102 deletions(-) create mode 100644 HiCPlotterManual.pdf create mode 100644 examplePlots/Epilogos-chr10.ofBins(2500-5000).25K.jpeg create mode 100644 examplePlots/HoxD-chr2.ofBins(1830-1880).Colored.40K.jpeg create mode 100644 examplePlots/hES-WholeGenome.chr11-1000K.jpeg create mode 100644 examplePlots/hES-WholeGenome.chrY-1000K.jpeg diff --git a/HiCPlotter.py b/HiCPlotter.py index e5fe3db..37f8752 100644 --- a/HiCPlotter.py +++ b/HiCPlotter.py @@ -26,7 +26,7 @@ import bisect import logging -version = "0.4.01" +version = "0.5.01" def read_HiCdata(filename,header=1,footer=0,clean_nans=True,smooth_noise=0.5,ins_window=5,rel_window=8,plotInsulation=True,plotTadDomains=False,randomBins=False): @@ -57,10 +57,10 @@ def read_HiCdata(filename,header=1,footer=0,clean_nans=True,smooth_noise=0.5,ins if not randomBins and len(matrix[:,1]) != len(matrix[1,:]): print len(matrix[:,1]),len(matrix[1,:]) - print >>sys.stderr, 'unbalaced matrix('+filename+')! input should be a square matrix' + print >>sys.stderr, 'unbalanced matrix('+filename+')! input should be a square matrix' raise SystemExit - if plotInsulation or plotTadDomains: nums,tricks=insulation(matrix,ins_window,rel_window) + if plotInsulation or plotTadDomains and not randomBins: nums,tricks=insulation(matrix,ins_window,rel_window) else: nums=[];tricks=[]; if clean_nans: matrix[np.isnan(matrix)]=0 @@ -68,7 +68,7 @@ def read_HiCdata(filename,header=1,footer=0,clean_nans=True,smooth_noise=0.5,ins return matrix,nums,tricks -def read_sparseHiCdata(filename,chromosome,bedFile,startBin,endBin,smooth_noise=0.5,ins_window=5,rel_window=8,plotInsulation=True,plotTadDomains=False,randomBins=False): +def read_sparseHiCdata(filename,chromosome,bedFile,startBin,endBin,wholeGenome,smooth_noise=0.5,ins_window=5,rel_window=8,plotInsulation=True,plotTadDomains=False,randomBins=False): ''' load Hi-C interaction matrix from triple-column sparse file @@ -80,6 +80,7 @@ def read_sparseHiCdata(filename,chromosome,bedFile,startBin,endBin,smooth_noise= bedFile: a bed file for locations of bins startBin: starting bin - 0 zero-based endBin: end point for the plot + wholeGenome: for plotting more than one chromosome interactions. chromosome parameter will be used for until which chromosome interactions will be plotted. smooth_noise: variable values under will be replace with 0's to clean noise in the matrix ins_window: window size for scanning diagonal of the matrix for insulation scores rel_window: relative extrama extension size - will be extend to both directions @@ -102,18 +103,24 @@ def read_sparseHiCdata(filename,chromosome,bedFile,startBin,endBin,smooth_noise= for line in bed.readlines(): tags = line.strip().split("\t") + if tags[0]=='chrM':continue if tags[0] not in chromosomes.keys(): chromosomes[tags[0]]=[] chromosomes[tags[0]].append(int(tags[3])) else: chromosomes[tags[0]].append(int(tags[3])) - clast = chromosomes[chromosome][-1]-1 - start = chromosomes[chromosome][0]+startBin - end = chromosomes[chromosome][0]+endBin + if not wholeGenome: + clast = chromosomes[chromosome][-1]-1 + start = chromosomes[chromosome][0]+startBin + end = chromosomes[chromosome][0]+endBin - end=clast if end == chromosomes[chromosome][0] else end - if end > clast: end=clast - if start > clast: start=chromosomes[chromosome][0] + end=clast if end == chromosomes[chromosome][0] else end + if end > clast: end=clast + if start > clast: start=chromosomes[chromosome][0] + else: + start = 1 + end = chromosomes[chromosome][-1] + clast = end length = end-start+1 @@ -129,12 +136,13 @@ def read_sparseHiCdata(filename,chromosome,bedFile,startBin,endBin,smooth_noise= tags = line.strip().split("\t") if int(tags[0]) <= end and int(tags[0])>=start : if int(tags[1]) <= end and int(tags[1])>=start : - mtx[int(tags[0])-start, int(tags[1])-start] = int(tags[2]) + mtx[int(tags[0])-start, int(tags[1])-start] = int(round(float(tags[2]))) + mtx[int(tags[1])-start, int(tags[0])-start] = int(round(float(tags[2]))) if int(tags[0]) > end: break matrix = mtx.todense() - if plotInsulation or plotTadDomains: nums,tricks=insulation(matrix,ins_window,rel_window) + if plotInsulation or plotTadDomains and not wholeGenome: nums,tricks=insulation(matrix,ins_window,rel_window) else: nums=[];tricks=[]; #matrix[matrix>sys.stderr, 'cannot open', filename + raise SystemExit + + x_scores=[] + y_dict={} + start = resolution * start + end = resolution * end + + for line in fone.xreadlines(): + tags = line.strip().split("\t") + if tags[0]==chromosome and int(tags[1])>start and int(tags[2]) < end: + x_scores.append(float(tags[1])/resolution) + cols = np.array(tags[3].split(':')[2].split(',')) + for x in range(1,len(cols)): + if x % 2 == 1 and cols[x].replace('[','').replace(']','').replace(' ','') not in y_dict.keys(): + y_dict[cols[x].replace('[','').replace(']','').replace(' ','')]=[] + y_dict[cols[x].replace('[','').replace(']','').replace(' ','')].append(float(cols[x-1].replace('[','').replace(']','').replace(' ',''))) + elif x % 2 == 1 : + y_dict[cols[x].replace('[','').replace(']','').replace(' ','')].append(float(cols[x-1].replace('[','').replace(']','').replace(' ',''))) + + if len(y_dict.keys()) ==0: + print >>sys.stderr, 'Epilogos File('+filename+') has some missing values' + raise SystemExit + return x_scores,y_dict + + + def where(start,end,arr): """Find where the start location and end location indexes in an array""" @@ -351,62 +406,65 @@ def insulation(matrix,w=5,tadRange=10): return scores, pBorders -def HiCplotter(files=[],names=[],resolution=100000,chromosome='',output='',histograms=[],histLabels=[],fillHist=[],histMax=[],verbose=False,fileHeader=1,fileFooter=1,matrixMax=0,\ - start=0,end=0,tileLabels=[],tilePlots=[],tileColors=[],tileText=False,arcLabels=[],arcPlots=[],arcColors=[],peakFiles=[],window=5,tadRange=8,tripleColumn=False,bedFile='',\ - smoothNoise=0.5,cleanNANs=True,plotTriangular=True,plotTadDomains=False,randomBins=False,wholeGenome=False,plotPublishedTadDomains=False,plotDomainsAsBars=False,\ +def HiCplotter(files=[],names=[],resolution=100000,chromosome='',output='',histograms=[],histLabels=[],fillHist=[],histMax=[],verbose=False,fileHeader=1,fileFooter=1,matrixMax=0,histColors=[],\ + start=0,end=0,tileLabels=[],tilePlots=[],tileColors=[],tileText=False,arcLabels=[],arcPlots=[],arcColors=[],peakFiles=[],epiLogos='',window=5,tadRange=8,tripleColumn=False,bedFile='',\ + smoothNoise=0.5,cleanNANs=True,plotTriangular=True,plotTadDomains=False,randomBins=False,wholeGenome=False,plotPublishedTadDomains=False,plotDomainsAsBars=False,imputed=False,\ highlights=0,highFile='',heatmapColor=3,highResolution=True,plotInsulation=True,plotCustomDomains=False,publishedTadDomainOrganism=True,customDomainsFile=[]): ''' plot the interaction matrix with additional datasets - Required parameters: + Required parameters: - files: a list of filenames to be plotted. - name: a list of labes for the experiment. - chr: chromosome to be plotted. - output: prefix for the output file. + files (-f) : a list of filenames to be plotted. + name (-n) : a list of labels for the experiment. + chr (-chr) : chromosome to be plotted. + output (-o) : prefix for the output file. Optional parameters: - verbose: print version and arguments into a file. - tripleColumn: an integer if input file format is triple-column sparse file. - bedFile: if tripleColumn is activated, required for chromosome bin~positions. - histograms: a list of filenames to be plotted as histogram. - histLabels: a list of labels for the histograms. - fillHist: a list whether each histogram will be filled (1) or not (0:default). - histMax : a list of integer for maximum values of histograms. - start: retain after x-th bin (0:default). - end: continues until x-th bin (default: length of the matrix). - resolution: resolution of the bins (default: 100000). - matrixMax: an integer value for the interaction matrix heatmap scale upper-limit. - tilePlots: a list of filenames to be plotted as tile plots. - tileLabels: a list of labels for the tile plots. - tileColors: a list of hexadecimal numbers for coloring the tile plots. - tileText: an integer whether text will be displayed above tiles (0:default) or not (1). - arcPlots: a list of filenames to be plotted as arc plots. - arcLabels: a list of labels for the arc plots. - arcColors: a list of hexadecimal numbers for coloring the arc plots. - highlights: an integer for enabling highlights on the plot (0:default), enable(1). - highFile: a file name for a bed file to highlight selected intervals. - peakFiles : a list of filenames to be plotted on the matrix. - window: an integer of distance to calculate insulation score. - tadRange: an integer of window to calculate local minima for TAD calls. - fileHeader: an integer for how many lines should be skipped at the beginning the matrix file (1:default). - fileFooter: an integer for how many lines should be skipped at the end of the matrix file (0:default). - smoothNoise: a floating-point number to clean noise in the data. - cleanNANs: an integer for replacing NaNs in the matrix with zeros (1:default) or not (0). - heatmapColor: an integer for choosing heatmap color codes: Greys(0), Reds(1), YellowToBlue(2), YellowToRed(3-default), Hot(4), BlueToRed(5). - plotTriangular: an integer for plotting rotated half matrix (1:default) or not (0). - plotTadDomains: an integer for plotting TADs identified by HiCPlotter (1) or not (0:default). - plotDomainsAsBars: an integer for plotting TADs as bars instead of triangles (1) or not (0:default). - plotPublishedTadDomins: an integer for plotting TADs from Dixon et, al. 2012 (1:default) or not (0). - highResolution: an integer whether plotting high resolution (1:default) or not (0). - plotInsulation: an integer for plotting insulation scores (1:default) or not (0). - randomBins: an integer for plotting random resolution data (1:default) or not (0). - wholeGenome: an integer for plotting whole genome interactions (1:default) or not (0). - plotCustomDomains: a list of file names to be plotted beneath the matrix. - publishedTadDomainOrganism : an integer for plotting human (1:default) or mouse (0) TADs from Dixon et, al. 2012. - customDomainsFile: a list of filenames to be plotted as TADs for each experiments. + verbose (-v) : print version and arguments into a file. + tripleColumn (-tri) : a boolean if input file is from HiC-Pro pipeline. + bedFile (-bed) : a file name for bin annotations, if -tri parameter is set. + histograms (-hist) : a list of filenames to be plotted as histogram. + histLabels (-h) : a list of labels for the histograms. + fillHist (-fhist) : a list whether each histogram will be filled (1) or not (0:default). + histColors (-hc) : a list of hexadecimal number for histogram filling colors. + histMax (-hm) : a list of integer for maximum values of histograms. + start (-s) : retain after x-th bin (0:default). + end (-e) : continues until x-th bin (default: length of the matrix). + resolution (-r) : resolution of the bins (default: 100000). + matrixMax (-mm) : an integer value for the interaction matrix heatmap scale upper-limit. + tilePlots (-t) : a list of filenames to be plotted as tile plots. + tileLabels (-tl) : a list of labels for the tile plots. + tileColors (-tc) : a list of hexadecimal numbers for coloring the tile plots. + tileText (-tt) : a boolean whether text will be displayed above tiles (0:default) or not (1). + arcPlots (-a) : a list of filenames to be plotted as arc plots. + arcLabels (-al) : a list of labels for the arc plots. + arcColors (-ac) : a list of hexadecimal numbers for coloring the arc plots. + highlights (-high) : a boolean for enabling highlights on the plot (0:default), enable(1). + highFile (-hf) : a file name for a bed file to highlight selected intervals. + peakFiles (-peak) : a list of filenames to be plotted on the matrix. + epiLogos (-ep) : a filename to be plotted as Epilogos format. + imputed (-im) : a boolean if imputed epilogos will be plotted. (default:0 for observed) + window (-w) : an integer of distance to calculate insulation score. + tadRange (-tr) : an integer of window to calculate local minima for TAD calls. + fileHeader (-fh) : an integer for how many lines should be ignored in the matrix file (1:default). + fileFooter (-ff) : an integer for how many lines should be skipped at the end of the matrix file (0:default). + smoothNoise (-sn) : a floating-point number to clean noise in the data. + heatmapColor (-hmc) : an integer for choosing heatmap color codes: Greys(0), Reds(1), YellowToBlue(2), YellowToRed(3-default), Hot(4), BlueToRed(5). + cleanNANs (-cn) : a boolean for replacing NaNs in the matrix with zeros (1:default) or not (0). + plotTriangular (-ptr) : a boolean for plotting rotated half matrix (1:default) or not (0). + plotTadDomains (-ptd) : a boolean for plotting TADs identified by HiCPlotter (1) or not (0:default). + plotPublishedTadDomins (-pptd) : a boolean for plotting TADs from Dixon et, al. 2012 (1:default) or not (0). + plotDomainsAsBars (-ptdb) : a boolean for plotting TADs as bars (1) instead of triangles (0:default) + highResolution (-hR) : a boolean whether plotting high resolution (1:default) or not (0). + plotInsulation (-pi) : a boolean for plotting insulation scores (0:default) or plot (1). + randomBins (-rb) : a boolean for plotting random resolution data (1:default) or not (0). + wholeGenome (-wg) : a boolean for plotting whole genome interactions (1:default) or not (0). + plotCustomDomains (-pcd) : a list of file names to be plotted beneath the matrix. + publishedTadDomainOrganism (-ptdo) : a boolean for plotting human (1:default) or mouse (0) TADs from Dixon et, al. 2012. + customDomainsFile (-pcdf) : a list of filenames to be plotted as TADs for each experiments. ''' @@ -415,6 +473,7 @@ def HiCplotter(files=[],names=[],resolution=100000,chromosome='',output='',histo if plotTriangular: numOfrows+=1 if plotTadDomains: numOfrows+=1 if plotInsulation: numOfrows+=1 + if epiLogos: numOfrows+=1 if len(histograms)>0: numOfrows+=len(histograms[0].split(',')) if len(tilePlots)>0: numOfrows+=len(tilePlots[0].split(',')) if len(arcPlots)>0: numOfrows+=len(arcPlots[0].split(',')) @@ -448,7 +507,7 @@ def HiCplotter(files=[],names=[],resolution=100000,chromosome='',output='',histo if exp == 0 : mlength = len(matrix) elif len(matrix) != mlength and not randomBins: print len(matrix), mlength - print >>sys.stderr, 'unbalaced matrix size of '+files[exp]+' compared to '+files[0]+' ! matrix sizes should be equal' + print >>sys.stderr, 'unbalanced matrix size of '+files[exp]+' compared to '+files[0]+' ! matrix sizes should be equal' raise SystemExit matrix=matrix[start:end,start:end] @@ -456,7 +515,7 @@ def HiCplotter(files=[],names=[],resolution=100000,chromosome='',output='',histo if bedFile == '': print >>sys.stderr, 'an annotation bed file is required for triple-column sparse input.' raise SystemExit - matrix,nums,tricks,clength=read_sparseHiCdata(files[exp],chromosome,bedFile,start,end,window,tadRange,plotInsulation,plotTadDomains,randomBins) + matrix,nums,tricks,clength=read_sparseHiCdata(files[exp],chromosome,bedFile,start,end,wholeGenome,window,tadRange,plotInsulation,plotTadDomains,randomBins) if end > clength: end=clength end=clength if end == 0 else end size=end-start @@ -504,7 +563,8 @@ def HiCplotter(files=[],names=[],resolution=100000,chromosome='',output='',histo else: with np.errstate(divide='ignore'): img=ax1.imshow(log2(matrix),interpolation="nearest",extent=(int(start or 1) - 0.5,\ int(start or 1) + length - 0.5,int(start or 1) - 0.5,int(start or 1) + length - 0.5),aspect='auto') - + plt.setp(ax1.get_xticklabels(), visible=False) + if len(peakFiles) > 0: origin_x,origin_y,radius,colors = read_peakFile(peakFiles[exp],resolution,chromosome) for citem in range(0,len(origin_x)): @@ -552,9 +612,8 @@ def HiCplotter(files=[],names=[],resolution=100000,chromosome='',output='',histo ax2 = plt.subplot2grid((numOfrows, 4*len(files)), (rowcounter, exp*4), rowspan=1,colspan=4,sharex=ax1) dst=ndimage.rotate(matrix,45,order=0,reshape=True,prefilter=False,cval=0) matrix=[]; - if not randomBins : height = 800000/resolution + 0.5 - else: height=length/5 - ax2.set_ylim(start+length/2-0.5,start+length/2+height+0.5) # try to get something here + height=length/5 + ax2.set_ylim(start+length/2,start+length/2+height) ax2.set_xlim(int(start or 1) - 0.5,int(start or 1) + length - 0.5) ax2.set(adjustable='box-forced') if heatmapColor < 5: @@ -616,10 +675,23 @@ def HiCplotter(files=[],names=[],resolution=100000,chromosome='',output='',histo if len(fillHist) > 0 and int(fillHist[exp].split(',')[x])==1: comps2=array(y_comps) - ax3.fill_between(x_comps, comps2,0, color='gray', interpolate=True) - if ymin < 0: - with np.errstate(all='ignore'):ax3.fill_between(x_comps, comps2,0, comps2>0, color='gray', interpolate=True) - with np.errstate(all='ignore'):ax3.fill_between(x_comps, comps2, 0, where=comps2<0, color='black', interpolate=True) + if len(histColors)>0: + if histColors[exp].split(',')[x] != '': + ax3.fill_between(x_comps, comps2,0, color='#'+histColors[exp].split(',')[x], interpolate=True) + if ymin < 0: + with np.errstate(all='ignore'):ax3.fill_between(x_comps, comps2,0, comps2>0, color='#'+histColors[exp].split(',')[x], interpolate=True) + with np.errstate(all='ignore'):ax3.fill_between(x_comps, comps2, 0, where=comps2<0, color='black', interpolate=True) + else: + ax3.fill_between(x_comps, comps2,0, color='gray', interpolate=True) + if ymin < 0: + with np.errstate(all='ignore'):ax3.fill_between(x_comps, comps2,0, comps2>0, color='gray', interpolate=True) + with np.errstate(all='ignore'):ax3.fill_between(x_comps, comps2, 0, where=comps2<0, color='black', interpolate=True) + else: + ax3.fill_between(x_comps, comps2,0, color='gray', interpolate=True) + if ymin < 0: + with np.errstate(all='ignore'):ax3.fill_between(x_comps, comps2,0, comps2>0, color='gray', interpolate=True) + with np.errstate(all='ignore'):ax3.fill_between(x_comps, comps2, 0, where=comps2<0, color='black', interpolate=True) + x_comps=[];x_comps2=[];y_comps=[];colors==[]; if plotTadDomains: ax3.set_xticks(tricks, minor=True) @@ -700,6 +772,36 @@ def HiCplotter(files=[],names=[],resolution=100000,chromosome='',output='',histo if numOfrows <= rowcounter and not randomBins: ax3.set_xlabel('Chromosome %s Mb (resolution: %sKb)' % (schr , resolution/1000)) elif numOfrows <= rowcounter and randomBins: ax3.set_xlabel('Chromosome %s (Genomic Bins)' % (schr)) + ''' Epilogos plotting ''' + + if len(epiLogos)>0: + if imputed: + obs_colors={'1':'#ff0000','2':'#ff4500','3':'#ff4500','4':'#ff4500','5':'#008000','6':'#008000','7':'#008000','8':'#009600','9':'#c2e105','10':'#c2e105','11':'#c2e105','12':'#c2e105','13':'#ffc34d','14':'#ffc34d','15':'#ffc34d','16':'#ffff00','17':'#ffff00','18':'#ffff00','19':'#ffff66','20':'#66cdaa','21':'#8a91d0','22':'#e6b8b7','23':'#7030a0','24':'#808080','25':'#ffffff'} + else: + obs_colors={'1':'#ff0000','2':'#ff4500','3':'#32cd32','4':'#008000','5':'#006400','6':'#c2e105','7':'#ffff00','8':'#66cdaa','9':'#8a91d0','10':'#cd5c5c','11':'#e9967a','12':'#bdb76b','13':'#808080','14':'#c0c0c0','15':'#ffffff'} + + ax3 = plt.subplot2grid((numOfrows, 4*len(files)), (rowcounter, exp*4), rowspan=1,colspan=4,sharex=ax1) + if exp==0: ax3.set_ylabel('Epilogos') + ax3.get_yaxis().set_label_coords(-0.125,0.5) + x_comps,y_dict = read_epilogos(epiLogos,resolution,chromosome,start,end) + for state in y_dict.keys(): + ax3.plot(x_comps,y_dict[state],color=obs_colors[state],alpha=0.75,linewidth = 0.8) + if imputed: + if state not in ['9','10','11','12','21']: + ax3.plot(x_comps,y_dict[state],color=obs_colors[state],alpha=0.45,linewidth = 0.8) + elif state =='21': + ax3.plot(x_comps,y_dict[state],color=obs_colors[state],alpha=0.75,linewidth = 0.8) + ax3.set_ylim(1,7) + ax3.locator_params(axis='y',tight=False, nbins=3) + ax3.set_xlim(int(start or 1) - 0.5,int(start or 1) + length - 0.5) + ax3.set_axis_bgcolor('black') + + rowcounter+=1 + if numOfrows <= rowcounter and not randomBins: ax3.set_xlabel('Chromosome %s Mb (resolution: %sKb)' % (schr , resolution/1000)) + elif numOfrows <= rowcounter and randomBins: ax3.set_xlabel('Chromosome %s (Genomic Bins)' % (schr)) + ax3.set_xlim(int(start or 1) - 0.5,int(start or 1) + length - 0.5) + + ''' Insulation Scores ''' @@ -963,23 +1065,26 @@ def HiCplotter(files=[],names=[],resolution=100000,chromosome='',output='',histo for item in range(0,len(ticks)): ticks[item]=round(ticks[item]*resolution/1000000,1) ax1.set_xticklabels(ticks) ax1.set_yticklabels(ticks) - + + if 'JPEG' in plt.gcf().canvas.get_supported_filetypes_grouped().keys() or 'Joint Photographic Experts Group' in plt.gcf().canvas.get_supported_filetypes_grouped().keys(): extension='.jpeg' + else : extension = '.png' + print 'Plotting now!!' if wholeGenome: if highResolution: - plt.savefig(output+'-WholeGenome-'+str(resolution/1000)+'K.jpeg',dpi=200) + plt.savefig(output+'-WholeGenome-'+str(resolution/1000)+'K'+extension,dpi=200) else: - plt.savefig(output+'-WholeGenome-'+str(resolution/1000)+'K.jpeg') + plt.savefig(output+'-WholeGenome-'+str(resolution/1000)+'K'+extension) elif randomBins: if highResolution: - plt.savefig(output+'-'+chromosome+'.'+'ofBins('+str(start)+'-'+str(end)+').RandomBins.jpeg',dpi=200) + plt.savefig(output+'-'+chromosome+'.'+'ofBins('+str(start)+'-'+str(end)+').RandomBins'+extension,dpi=200) else: - plt.savefig(output+'-'+chromosome+'.'+'ofBins('+str(start)+'-'+str(end)+').RandomBins.jpeg') + plt.savefig(output+'-'+chromosome+'.'+'ofBins('+str(start)+'-'+str(end)+').RandomBins'+extension) else: if highResolution: - plt.savefig(output+'-'+chromosome+'.'+'ofBins('+str(start)+'-'+str(end)+').'+str(resolution/1000)+'K.jpeg',dpi=200) + plt.savefig(output+'-'+chromosome+'.'+'ofBins('+str(start)+'-'+str(end)+').'+str(resolution/1000)+'K'+extension,dpi=200) else: - plt.savefig(output+'-'+chromosome+'.'+'ofBins('+str(start)+'-'+str(end)+').'+str(resolution/1000)+'K.jpeg') + plt.savefig(output+'-'+chromosome+'.'+'ofBins('+str(start)+'-'+str(end)+').'+str(resolution/1000)+'K'+extension) if __name__=='__main__': @@ -1000,6 +1105,7 @@ def HiCplotter(files=[],names=[],resolution=100000,chromosome='',output='',histo group1.add_argument('-hl', '--histLabels', nargs='+',metavar='',default=[]) group1.add_argument('-hm', '--histMax', nargs='+',metavar='',default=[]) group1.add_argument('-fhist', '--fillHist', nargs='+',metavar='',default=[],help='(0:no, 1:yes)') + group1.add_argument('-hc', '--histColors', nargs='+',metavar='',default=[]) group1.add_argument('-t', '--tilePlots', nargs='+',metavar='',default=[]) group1.add_argument('-tl', '--tileLabels', nargs='+',metavar='',default=[]) group1.add_argument('-tc', '--tileColors', nargs='+',metavar='',default=[]) @@ -1010,6 +1116,8 @@ def HiCplotter(files=[],names=[],resolution=100000,chromosome='',output='',histo group1.add_argument('-high', '--highlights',default=0,type=int,metavar='',help='default:0 - enable with 1') group1.add_argument('-hf', '--highFile',default='',metavar='',help='') group1.add_argument('-peak', '--peakFiles', nargs='+',metavar='',default=[]) + group1.add_argument('-ep', '--epiLogos',metavar='',default='') + group1.add_argument('-im', '--imputed',type=int,default=False,metavar='',help="default: 0 - enable with 1") group1.add_argument('-s', '--start',type=int,default=0,metavar='',help="default: 0") group1.add_argument('-e', '--end',type=int,default=0,metavar='',help="default: matrix end") 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zG;*5`Kt3?F+txPV)K!d@hD2_&H8}WUO4|k;Ky9->a4KxGA@KDSTrp_c1q}gw|D;~O z#vBeVrrTse!GZ03NEEH^!TAfNl@DB}{)L9x)-E`I;k4t1fTIz#vLF!Dyo6h22Ing6 zJcl4bHro2Y?0#rk8$trWwsjH-z!9|e0-E2pu|%Ta)Vz*c^apBXn|z=}QXd&x_)y>k zrj-Q++5zntf$QnE`GE$Ya9Ta1LHnbX1zdNx%?}J5j-V}zfg`C8qd(=Nu9LLu1^~`- zS~~@4a0E@epysL2&er;%01O0pXlY33HX0HN?t7x)L&9n2FZf&lGe6Suq0vy9F$bV% zG_9UN8U{k!Uyz2N84oJoHoZVGpb}`?#eh5Kw$uKcNA9kcwhjc>gVaQydbU2GI{<=8 zy3Wq-d{j#V5g=)GC!#YS*z+HMD}$Td -## Visualization of ChIP-Seq and RAP-Seq data as histograms - -_Data taken from:_ RAP-seq : [Engreitz et al. Science 2014](http://www.sciencemag.org/content/341/6147/1237973.long), Hi-C : [Dixon et, al. Nature 2012](http://www.nature.com/nature/journal/v485/n7398/full/nature11082.html?WT.ec_id=NATURE-20120517) and H3K27me3 : [Mouse ENCODE Project](http://www.mouseencode.org/) -_Rotated matrix can be removed with -ptr 0 parameter_ +_Color for area under the curve fillings can be specific as a hexadecimal number with -hc parameter._ - python HiCPlotter.py -f data/HiC/Mouse/mES.chrX -n mES -r 40000 -chr chrX -o RAP -fh 0 -hist data/HiC/Mouse/GSE46918_pSM33-0hr-Xist_vs_Input.W10000_O7500.bedGraph,data/HiC/Mouse/GSE46918_pSM33-1hr-Xist_vs_Input.W10000_O7500.bedGraph,data/HiC/Mouse/GSE46918_pSM33-2hr-Xist_vs_Input.W10000_O7500.bedGraph,data/HiC/Mouse/GSE46918_pSM33-3hr-Xist_vs_Input.W10000_O7500.bedGraph,data/HiC/Mouse/GSE46918_pSM33-6hr-Xist_vs_Input.W10000_O7500.bedGraph,data/HiC/Mouse/wgEncodeLicrHistoneEsb4H3k27me3ME0C57bl6StdSig.chrX.bedGraph -hl Xist_0h,Xist_1h,Xist_2h,Xist_3h,Xist_6h,H3K27me3_0h -pi 0 -ptr 0 -fhist 0,1,1,1,1,0 -hmc 4 -sn 0 + python HiCPlotter.py -f data/HiC/Mouse/mES.chr2 -n mES -chr chr2 -r 40000 -o HoxDc -hist data/HiC/Mouse/GSM1334415_4C_Mouse_EScells_Hoxd4_smoothed_11windows.bedGraph,data/HiC/Mouse/GSM1334412_4C_Mouse_EScells_Hoxd13_smoothed_11windows.bedGraph -hl Hoxd4-ES,Hoxd13-ES -s 1830 -e 1880 -fh 0 -pi 0 -pcd 1 -pcdf data/mES_domains_mm9.bed -fhist 1,1 -hm 2000,2000 -hc 143D52,9ACD32

-
**Xist spreading during initiation of X-chromosome inactivation**
- Example plot from HiCPlotter +
**Colored Histograms**
+ Example plot from HiCPlotter
-## Visualization of ChIP-Seq as histograms, ChIA-Pet as arcs and Polycomb domains as tiles + +## Arcs plotting _Arc plots require a bedGraph file (-a file1), color can be specied as a hexadecimal number (-ac B4B4B4) or for each arc by specified RGB colors in bedGraph file._ _Data taken from:_ SMC ChIA-Pet and Polycomb Domains: [Dowen et, al. Cell 2014](http://www.sciencedirect.com/science/article/pii/S0092867414011799), Hi-C and TADs : [Dixon et, al. Nature 2012](http://www.nature.com/nature/journal/v485/n7398/full/nature11082.html?WT.ec_id=NATURE-20120517) and H3K27me3 : [Mouse ENCODE Project](http://www.mouseencode.org/) - python s.py -f data/HiC/Mouse/mES.chr3 -n mES -chr chr3 -o Bhlhe22 -r 40000 -s 400 -e 500 -a data/HiC/Mouse/mESC_SMC_ChIPPet.bed -al SMC -hist data/HiC/Mouse/GSM747534_chr3.bedGraph,data/HiC/Mouse/wgEncodeLicrHistoneEsb4H3k27me3ME0C57bl6StdSig.chr3.bedGraph -hl CTCF,H3K27me3 -pi 0 -ptr 0 -t data/HiC/Mouse/mm9_Polycomb_domains.bed -tl Polycomb -tc 00CCFF -ac B4B4B4 -fh 0 + python HiCPlotter.py -f data/HiC/Mouse/mES.chr3 -n mES -chr chr3 -o Bhlhe22 -r 40000 -s 400 -e 500 -a data/HiC/Mouse/mESC_SMC_ChIPPet.bed -al SMC -hist data/HiC/Mouse/GSM747534_chr3.bedGraph,data/HiC/Mouse/wgEncodeLicrHistoneEsb4H3k27me3ME0C57bl6StdSig.chr3.bedGraph -hl CTCF,H3K27me3 -pi 0 -ptr 0 -t data/HiC/Mouse/mm9_Polycomb_domains.bed -tl Polycomb -tc 00CCFF -ac B4B4B4 -fh 0
**Bhlhe22 locus in mouse ES cells**
Example plot from HiCPlotter
-## Visualization of 4C data as histograms and Enhancers as tiles with text +## Tiles plotting _If bedGraph file for tile plotting contains text in 6th column, features can be plotted above tiles with -tt parameter._ @@ -268,6 +271,23 @@ _Data taken from:_ 4C : [Lonfat et, al. Science 2014](http://www.sciencemag.org/ Example plot from HiCPlotter +## Epilogos plotting + +Epilogos is developed visualization and analysis of chromatin state model data in various cell types by Wouter Meuleman and Manolis Kellis. More about epilogos, [check](http://compbio.mit.edu/epilogos/#) + +You can download the epilogos data [from](http://egg2.wustl.edu/roadmap/data/byFileType/chromhmmSegmentations/ChmmModels/epilogos/) + + python HiCPlotter.py -f data/HiC/Human/GM12878-chr10_25kb.RAWobserved_KRnormalizedMatrix.txt -chr chr10 -fh 0 -n GM12878 -o Epilogos -r 25000 -ep qcat -hist RepliSeq.bedGraph -hl RepliSeq -fhist 1 -s 2500 -e 5000 -mm 8 + +
+
**Epilogos with Replication Timing and Hi-C data**
+ Example plot from HiCPlotter +
+ +_Use parameter (-im) if you download the qcat file from imputed/ folder_ + +_Currently color of each states for Epilogos plotting is hard-coded in HiCPlotter, therefore please use qcat files in imputed or observed folders._ + ## Highlighting selected loci on the plot _Highlights on the plots can be drawn with -high 1 and passing a bed file name to -hf parameter._ @@ -309,6 +329,22 @@ _Data taken from:_ Hi-C : [Seitan et, al. Genome Research 2014](http://genome.cs Example plot from HiCPlotter +### Whole genome plotting with triple sparse files + +_(-chr) parameter will be used designate to the end chromosome, such as (-chr chr11) will plot interactions starting from chr1 to chr11._ + +
+
**hES whole genome interactions**
+ Example plot from HiCPlotter +
+ +_Please use (-chr chrY) for whole genome interaction plots._ + +
+
**hES interactions from chr1 to chr11**
+ Example plot from HiCPlotter +
+ ## 5C data visualization _Random binned 5C data plotting can be activated by -rb parameter (Please note: currently only matrixes and triangular plots can be plotted with this option)._ @@ -371,8 +407,6 @@ _Data taken from:_ 5C data [Nora et, al. Nature 2012](http://www.nature.com/natu Original : from scipy.signal import argrelextrema (line 20) Try this : #from scipy.signal import argrelextrema (line 20). Use HiCPlotter with the -pi 0 and -ptd 0 -*If you received the following error: "IOError: encoder jpeg not available", please change extensions of '.jpeg' to '.png' after line 880. - *If you like to run HiCPlotter in verbose mode, please use -v parameter which will create a log file with which parameters the program ran. *If you need to convert bigWig files to bedGraph files, you can use kentUtils/bigWigToBedGraph executable. diff --git a/examplePlots/Epilogos-chr10.ofBins(2500-5000).25K.jpeg b/examplePlots/Epilogos-chr10.ofBins(2500-5000).25K.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..1261fc129e03afbd4c5f61d8cc85909d91ac78d9 GIT binary patch literal 679068 zcmeFZc{o-7`!~AGGnr>w=2_-Kb`nC!9MUdBrc4f&+X{&!a(_&C&CeCM7?m?}H42G}kHZ`j?jZGv+US>6CW%@^%Kt zobv4J?B#q)cY*Y?pgOp69A~`UH^l2{0}<7B?ROX0CaqOAKZ6$bqf%baFP^MxNzaT;8mC4 zdoBS1ve)l8dEUA2EU4q-<$K5b0Ra4!`SdP;UgqxY3Yy#7 z**(DB$6L_d`+sHO|K@G~!NV!}*RMf>HJ1pm!Q_B5!)yTA_7{Mhl@1`gnF(GY`Ip_U 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