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140 lines
6.6 KiB
Python
140 lines
6.6 KiB
Python
import glob
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import gzip
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import json
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import os
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import os.path
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import shutil
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import subprocess
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import sys
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import tempfile
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CHUNK_SIZE = 1024
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def gunzip_cat_glob_path( glob_path, target_filename, delete = False ):
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out = open( target_filename, 'wb' )
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for filename in glob.glob( glob_path ):
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fh = gzip.open( filename, 'rb' )
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while True:
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data = fh.read( CHUNK_SIZE )
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if data:
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out.write( data )
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else:
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break
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fh.close()
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if delete:
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os.unlink( filename )
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out.close()
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def xls_to_interval( xls_file, interval_file, header = None ):
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out = open( interval_file, 'wb' )
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if header:
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out.write( '#%s\n' % header )
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wrote_header = False
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#From macs readme: Coordinates in XLS is 1-based which is different with BED format.
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for line in open( xls_file ):
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#keep all existing comment lines
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if line.startswith( '#' ):
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out.write( line )
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elif not wrote_header:
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out.write( '#%s' % line )
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wrote_header = True
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else:
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fields = line.split( '\t' )
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if len( fields ) > 1:
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fields[1] = str( int( fields[1] ) - 1 )
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out.write( '\t'.join( fields ) )
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out.close()
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def main():
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options = json.load( open( sys.argv[1] ) )
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output_bed = sys.argv[2]
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output_extra_html = sys.argv[3]
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output_extra_path = sys.argv[4]
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experiment_name = '_'.join( options['experiment_name'].split() ) #save experiment name here, it will be used by macs for filenames (gzip of wig files will fail with spaces - macs doesn't properly escape them)..need to replace all whitespace, split makes this easier
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cmdline = "macs -t %s" % ",".join( options['input_chipseq'] )
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if options['input_control']:
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cmdline = "%s -c %s" % ( cmdline, ",".join( options['input_control'] ) )
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cmdline = "%s --format='%s' --name='%s' --gsize='%s' --tsize='%s' --bw='%s' --pvalue='%s' --mfold='%s' %s --lambdaset='%s' %s" % ( cmdline, options['format'], experiment_name, options['gsize'], options['tsize'], options['bw'], options['pvalue'], options['mfold'], options['nolambda'], options['lambdaset'], options['futurefdr'] )
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if 'wig' in options:
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wigextend = int( options['wig']['wigextend'] )
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if wigextend >= 0:
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wigextend = "--wigextend='%s'" % wigextend
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else:
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wigextend = ''
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cmdline = "%s --wig %s --space='%s'" % ( cmdline, wigextend, options['wig']['space'] )
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if 'nomodel' in options:
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cmdline = "%s --nomodel --shiftsize='%s'" % ( cmdline, options['nomodel'] )
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if 'diag' in options:
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cmdline = "%s --diag --fe-min='%s' --fe-max='%s' --fe-step='%s'" % ( cmdline, options['diag']['fe-min'], options['diag']['fe-max'], options['diag']['fe-step'] )
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tmp_dir = tempfile.mkdtemp() #macs makes very messy output, need to contain it into a temp dir, then provide to user
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stderr_name = tempfile.NamedTemporaryFile().name # redirect stderr here, macs provides lots of info via stderr, make it into a report
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proc = subprocess.Popen( args=cmdline, shell=True, cwd=tmp_dir, stderr=open( stderr_name, 'wb' ) )
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proc.wait()
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#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
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#Do not terminate if error code, allow dataset (e.g. log) creation and cleanup
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if proc.returncode:
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stderr_f = open( stderr_name )
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while True:
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chunk = stderr_f.read( CHUNK_SIZE )
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if not chunk:
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stderr_f.close()
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break
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sys.stderr.write( chunk )
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#run R to create pdf from model script
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if os.path.exists( os.path.join( tmp_dir, "%s_model.r" % experiment_name ) ):
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cmdline = 'R --vanilla --slave < "%s_model.r" > "%s_model.r.log"' % ( experiment_name, experiment_name )
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proc = subprocess.Popen( args=cmdline, shell=True, cwd=tmp_dir )
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proc.wait()
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#move bed out to proper output file
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created_bed_name = os.path.join( tmp_dir, "%s_peaks.bed" % experiment_name )
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if os.path.exists( created_bed_name ):
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shutil.move( created_bed_name, output_bed )
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#parse xls files to interval files as needed
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if options['xls_to_interval']:
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create_peak_xls_file = os.path.join( tmp_dir, '%s_peaks.xls' % experiment_name )
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if os.path.exists( create_peak_xls_file ):
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xls_to_interval( create_peak_xls_file, options['xls_to_interval']['peaks_file'], header = 'peaks file' )
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create_peak_xls_file = os.path.join( tmp_dir, '%s_negative_peaks.xls' % experiment_name )
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if os.path.exists( create_peak_xls_file ):
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xls_to_interval( create_peak_xls_file, options['xls_to_interval']['negative_peaks_file'], header = 'negative peaks file' )
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#merge and move wig files as needed, delete gz'd files and remove emptied dirs
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if 'wig' in options:
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wig_base_dir = os.path.join( tmp_dir, "%s_MACS_wiggle" % experiment_name )
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if os.path.exists( wig_base_dir ):
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#treatment
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treatment_dir = os.path.join( wig_base_dir, "treat" )
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if os.path.exists( treatment_dir ):
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gunzip_cat_glob_path( os.path.join( treatment_dir, "*.wig.gz" ), options['wig']['output_treatment_file'], delete = True )
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os.rmdir( treatment_dir )
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#control
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if options['input_control']:
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control_dir = os.path.join( wig_base_dir, "control" )
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if os.path.exists( control_dir ):
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gunzip_cat_glob_path( os.path.join( control_dir, "*.wig.gz" ), options['wig']['output_control_file'], delete = True )
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os.rmdir( control_dir )
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os.rmdir( wig_base_dir )
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#move all remaining files to extra files path of html file output to allow user download
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out_html = open( output_extra_html, 'wb' )
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out_html.write( '<html><head><title>Additional output created by MACS (%s)</title></head><body><h3>Additional Files:</h3><p><ul>\n' % experiment_name )
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os.mkdir( output_extra_path )
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for filename in sorted( os.listdir( tmp_dir ) ):
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shutil.move( os.path.join( tmp_dir, filename ), os.path.join( output_extra_path, filename ) )
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out_html.write( '<li><a href="%s">%s</a></li>\n' % ( filename, filename ) )
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out_html.write( '</ul></p>\n' )
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out_html.write( '<h3>Messages from MACS:</h3>\n<p><pre>%s</pre></p>\n' % open( stderr_name, 'rb' ).read() )
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out_html.write( '</body></html>\n' )
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out_html.close()
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os.unlink( stderr_name )
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os.rmdir( tmp_dir )
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if __name__ == "__main__": main()
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