Mercurial > repos > stemcellcommons > macs2
comparison macs2_wrapper.py @ 0:642c0da30ca6 draft
Initial upload.
| author | stemcellcommons |
|---|---|
| date | Thu, 17 Oct 2013 12:47:49 -0400 |
| parents | |
| children | c05f607d116c |
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| -1:000000000000 | 0:642c0da30ca6 |
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| 1 #purpose: macs2 python wrapper | |
| 2 #author: Ziru Zhou | |
| 3 #date: November, 2012 | |
| 4 | |
| 5 import sys, subprocess, tempfile, shutil, glob, os, os.path, gzip | |
| 6 from galaxy import eggs | |
| 7 import pkg_resources | |
| 8 pkg_resources.require( "simplejson" ) | |
| 9 import simplejson | |
| 10 | |
| 11 CHUNK_SIZE = 1024 | |
| 12 | |
| 13 #========================================================================================== | |
| 14 #functions | |
| 15 #========================================================================================== | |
| 16 def gunzip_cat_glob_path( glob_path, target_filename, delete = False ): | |
| 17 out = open( target_filename, 'wb' ) | |
| 18 for filename in glob.glob( glob_path ): | |
| 19 fh = gzip.open( filename, 'rb' ) | |
| 20 while True: | |
| 21 data = fh.read( CHUNK_SIZE ) | |
| 22 if data: | |
| 23 out.write( data ) | |
| 24 else: | |
| 25 break | |
| 26 fh.close() | |
| 27 if delete: | |
| 28 os.unlink( filename ) | |
| 29 out.close() | |
| 30 | |
| 31 def xls_to_interval( xls_file, interval_file, header = None ): | |
| 32 out = open( interval_file, 'wb' ) | |
| 33 if header: | |
| 34 out.write( '#%s\n' % header ) | |
| 35 wrote_header = False | |
| 36 #From macs readme: Coordinates in XLS is 1-based which is different with BED format. | |
| 37 for line in open( xls_file ): | |
| 38 #keep all existing comment lines | |
| 39 if line.startswith( '#' ): | |
| 40 out.write( line ) | |
| 41 #added for macs2 since there is an extra newline | |
| 42 elif line.startswith( '\n' ): | |
| 43 out.write( line ) | |
| 44 elif not wrote_header: | |
| 45 out.write( '#%s' % line ) | |
| 46 print line | |
| 47 wrote_header = True | |
| 48 else: | |
| 49 fields = line.split( '\t' ) | |
| 50 if len( fields ) > 1: | |
| 51 fields[1] = str( int( fields[1] ) - 1 ) | |
| 52 out.write( '\t'.join( fields ) ) | |
| 53 out.close() | |
| 54 | |
| 55 #========================================================================================== | |
| 56 #main | |
| 57 #========================================================================================== | |
| 58 def main(): | |
| 59 #take in options file and output file names | |
| 60 options = simplejson.load( open( sys.argv[1] ) ) | |
| 61 outputs = simplejson.load( open( sys.argv[2] ) ) | |
| 62 | |
| 63 #================================================================================= | |
| 64 #parse options and execute macs2 | |
| 65 #================================================================================= | |
| 66 #default inputs that are in every major command | |
| 67 experiment_name = '_'.join( options['experiment_name'].split() ) #save experiment name here, it will be used by macs for some file names | |
| 68 cmdline = "macs2 %s -t %s" % ( options['command'], ",".join( options['input_chipseq'] ) ) | |
| 69 if options['input_control']: | |
| 70 cmdline = "%s -c %s" % ( cmdline, ",".join( options['input_control'] ) ) | |
| 71 | |
| 72 #================================================================================= | |
| 73 if (options['command'] == "callpeak"): | |
| 74 output_bed = outputs['output_bed_file'] | |
| 75 output_extra_html = outputs['output_extra_file'] | |
| 76 output_extra_path = outputs['output_extra_file_path'] | |
| 77 output_peaks = outputs['output_peaks_file'] | |
| 78 output_narrowpeaks = outputs['output_narrowpeaks_file'] | |
| 79 output_xls_to_interval_peaks_file = outputs['output_xls_to_interval_peaks_file'] | |
| 80 output_xls_to_interval_negative_peaks_file = outputs['output_xls_to_interval_negative_peaks_file'] | |
| 81 | |
| 82 if 'pvalue' in options: | |
| 83 cmdline = "%s --format='%s' --name='%s' --gsize='%s' --bw='%s' --pvalue='%s' --mfold %s %s %s %s" % ( cmdline, options['format'], experiment_name, options['gsize'], options['bw'], options['pvalue'], options['mfoldlo'], options['mfoldhi'], options['nolambda'], options['bdg'] ) | |
| 84 elif 'qvalue' in options: | |
| 85 cmdline = "%s --format='%s' --name='%s' --gsize='%s' --bw='%s' --qvalue='%s' --mfold %s %s %s %s" % ( cmdline, options['format'], experiment_name, options['gsize'], options['bw'], options['qvalue'], options['mfoldlo'], options['mfoldhi'], options['nolambda'], options['bdg'] ) | |
| 86 | |
| 87 if 'nomodel' in options: | |
| 88 cmdline = "%s --nomodel --shiftsize='%s'" % ( cmdline, options['nomodel'] ) | |
| 89 #================================================================================= | |
| 90 if (options['command'] == "bdgcmp"): | |
| 91 output_bdgcmp = outputs['output_bdgcmp_file'] | |
| 92 | |
| 93 cmdline = "%s -m %s -p %s -o bdgcmp_out.bdg" % ( cmdline, options['m'], options['pseudocount'] ) | |
| 94 #================================================================================= | |
| 95 | |
| 96 tmp_dir = tempfile.mkdtemp() #macs makes very messy output, need to contain it into a temp dir, then provide to user | |
| 97 stderr_name = tempfile.NamedTemporaryFile().name # redirect stderr here, macs provides lots of info via stderr, make it into a report | |
| 98 proc = subprocess.Popen( args=cmdline, shell=True, cwd=tmp_dir, stderr=open( stderr_name, 'wb' ) ) | |
| 99 proc.wait() | |
| 100 #We don't want to set tool run to error state if only warnings or info, e.g. mfold could be decreased to improve model, but let user view macs log | |
| 101 #Do not terminate if error code, allow dataset (e.g. log) creation and cleanup | |
| 102 if proc.returncode: | |
| 103 stderr_f = open( stderr_name ) | |
| 104 while True: | |
| 105 chunk = stderr_f.read( CHUNK_SIZE ) | |
| 106 if not chunk: | |
| 107 stderr_f.close() | |
| 108 break | |
| 109 sys.stderr.write( chunk ) | |
| 110 | |
| 111 #================================================================================= | |
| 112 #copy files created by macs2 to appripriate directory with the provided names | |
| 113 #================================================================================= | |
| 114 | |
| 115 #================================================================================= | |
| 116 #move files generated by callpeak command | |
| 117 if (options['command'] == "callpeak"): | |
| 118 #run R to create pdf from model script | |
| 119 if os.path.exists( os.path.join( tmp_dir, "%s_model.r" % experiment_name ) ): | |
| 120 cmdline = 'R --vanilla --slave < "%s_model.r" > "%s_model.r.log"' % ( experiment_name, experiment_name ) | |
| 121 proc = subprocess.Popen( args=cmdline, shell=True, cwd=tmp_dir ) | |
| 122 proc.wait() | |
| 123 | |
| 124 #move bed out to proper output file | |
| 125 created_bed_name = os.path.join( tmp_dir, "%s_peaks.bed" % experiment_name ) | |
| 126 if os.path.exists( created_bed_name ): | |
| 127 shutil.move( created_bed_name, output_bed ) | |
| 128 | |
| 129 #OICR peak_xls file | |
| 130 created_peak_xls_file = os.path.join( tmp_dir, "%s_peaks.xls" % experiment_name ) | |
| 131 if os.path.exists( created_peak_xls_file ): | |
| 132 # shutil.copy( created_peak_xls_file, os.path.join ( "/mnt/galaxyData/tmp/", "%s_peaks.xls" % ( os.path.basename(output_extra_path) ))) | |
| 133 shutil.copyfile( created_peak_xls_file, output_peaks ) | |
| 134 | |
| 135 #peaks.encodepeaks (narrowpeaks) file | |
| 136 created_narrowpeak_file = os.path.join (tmp_dir, "%s_peaks.encodePeak" % experiment_name ) | |
| 137 if os.path.exists( created_narrowpeak_file ): | |
| 138 shutil.move (created_narrowpeak_file, output_narrowpeaks ) | |
| 139 | |
| 140 #parse xls files to interval files as needed | |
| 141 #if 'xls_to_interval' in options: | |
| 142 if (options['xls_to_interval'] == "True"): | |
| 143 create_peak_xls_file = os.path.join( tmp_dir, '%s_peaks.xls' % experiment_name ) | |
| 144 if os.path.exists( create_peak_xls_file ): | |
| 145 xls_to_interval( create_peak_xls_file, output_xls_to_interval_peaks_file, header = 'peaks file' ) | |
| 146 create_peak_xls_file = os.path.join( tmp_dir, '%s_negative_peaks.xls' % experiment_name ) | |
| 147 if os.path.exists( create_peak_xls_file ): | |
| 148 print "negative file exists" | |
| 149 xls_to_interval( create_peak_xls_file, output_xls_to_interval_negative_peaks_file, header = 'negative peaks file' ) | |
| 150 | |
| 151 #move all remaining files to extra files path of html file output to allow user download | |
| 152 out_html = open( output_extra_html, 'wb' ) | |
| 153 out_html.write( '<html><head><title>Additional output created by MACS (%s)</title></head><body><h3>Additional Files:</h3><p><ul>\n' % experiment_name ) | |
| 154 os.mkdir( output_extra_path ) | |
| 155 for filename in sorted( os.listdir( tmp_dir ) ): | |
| 156 shutil.move( os.path.join( tmp_dir, filename ), os.path.join( output_extra_path, filename ) ) | |
| 157 out_html.write( '<li><a href="%s">%s</a></li>\n' % ( filename, filename ) ) | |
| 158 #out_html.write( '<li><a href="%s">%s</a>peakxls %s SomethingDifferent tmp_dir %s path %s exp_name %s</li>\n' % ( created_peak_xls_file, filename, filename, tmp_dir, output_extra_path, experiment_name ) ) | |
| 159 out_html.write( '</ul></p>\n' ) | |
| 160 out_html.write( '<h3>Messages from MACS:</h3>\n<p><pre>%s</pre></p>\n' % open( stderr_name, 'rb' ).read() ) | |
| 161 out_html.write( '</body></html>\n' ) | |
| 162 out_html.close() | |
| 163 | |
| 164 #================================================================================= | |
| 165 #move files generated by bdgcmp command | |
| 166 if (options['command'] == "bdgcmp"): | |
| 167 created_bdgcmp_file = os.path.join (tmp_dir, "bdgcmp_out.bdg" ) | |
| 168 if os.path.exists( created_bdgcmp_file ): | |
| 169 shutil.move (created_bdgcmp_file, output_bdgcmp ) | |
| 170 | |
| 171 #================================================================================= | |
| 172 #cleanup | |
| 173 #================================================================================= | |
| 174 os.unlink( stderr_name ) | |
| 175 os.rmdir( tmp_dir ) | |
| 176 | |
| 177 if __name__ == "__main__": main() |
