Mercurial > repos > xuebing > sharplabtool
diff tools/new_operations/gops_cluster.py @ 0:9071e359b9a3
Uploaded
author | xuebing |
---|---|
date | Fri, 09 Mar 2012 19:37:19 -0500 |
parents | |
children |
line wrap: on
line diff
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/tools/new_operations/gops_cluster.py Fri Mar 09 19:37:19 2012 -0500 @@ -0,0 +1,132 @@ +#!/usr/bin/env python +""" +Cluster regions of intervals. + +usage: %prog in_file out_file + -1, --cols1=N,N,N,N: Columns for start, end, strand in file + -d, --distance=N: Maximum distance between clustered intervals + -v, --overlap=N: Minimum overlap require (negative distance) + -m, --minregions=N: Minimum regions per cluster + -o, --output=N: 1)merged 2)filtered 3)clustered 4) minimum 5) maximum +""" +from galaxy import eggs +import pkg_resources +pkg_resources.require( "bx-python" ) +import sys, traceback, fileinput +from warnings import warn +from bx.intervals import * +from bx.intervals.io import * +from bx.intervals.operations.find_clusters import * +from bx.cookbook import doc_optparse +from galaxy.tools.util.galaxyops import * + +assert sys.version_info[:2] >= ( 2, 4 ) + +def main(): + distance = 0 + minregions = 2 + output = 1 + upstream_pad = 0 + downstream_pad = 0 + + options, args = doc_optparse.parse( __doc__ ) + try: + chr_col_1, start_col_1, end_col_1, strand_col_1 = parse_cols_arg( options.cols1 ) + if options.distance: distance = int( options.distance ) + if options.overlap: distance = -1 * int( options.overlap ) + if options.output: output = int( options.output ) + if options.minregions: minregions = int( options.minregions ) + in_fname, out_fname = args + except: + doc_optparse.exception() + + g1 = NiceReaderWrapper( fileinput.FileInput( in_fname ), + chrom_col=chr_col_1, + start_col=start_col_1, + end_col=end_col_1, + strand_col=strand_col_1, + fix_strand=True ) + + # Get the cluster tree + try: + clusters, extra = find_clusters( g1, mincols=distance, minregions=minregions) + except ParseError, exc: + fail( "Invalid file format: %s" % str( exc ) ) + + f1 = open( in_fname, "r" ) + out_file = open( out_fname, "w" ) + + # If "merge" + if output == 1: + fields = ["." for x in range(max(g1.chrom_col, g1.start_col, g1.end_col)+1)] + for chrom, tree in clusters.items(): + for start, end, lines in tree.getregions(): + fields[g1.chrom_col] = chrom + fields[g1.start_col] = str(start) + fields[g1.end_col] = str(end) + out_file.write( "%s\n" % "\t".join( fields ) ) + + # If "filtered" we preserve order of file and comments, etc. + if output == 2: + linenums = dict() + for chrom, tree in clusters.items(): + for linenum in tree.getlines(): + linenums[linenum] = 0 + linenum = -1 + f1.seek(0) + for line in f1.readlines(): + linenum += 1 + if linenum in linenums or linenum in extra: + out_file.write( "%s\n" % line.rstrip( "\n\r" ) ) + + # If "clustered" we output original intervals, but near each other (i.e. clustered) + if output == 3: + linenums = list() + f1.seek(0) + fileLines = f1.readlines() + for chrom, tree in clusters.items(): + for linenum in tree.getlines(): + out_file.write( "%s\n" % fileLines[linenum].rstrip( "\n\r" ) ) + + # If "minimum" we output the smallest interval in each cluster + if output == 4 or output == 5: + linenums = list() + f1.seek(0) + fileLines = f1.readlines() + for chrom, tree in clusters.items(): + regions = tree.getregions() + for start, end, lines in tree.getregions(): + outsize = -1 + outinterval = None + for line in lines: + # three nested for loops? + # should only execute this code once per line + fileline = fileLines[line].rstrip("\n\r") + try: + cluster_interval = GenomicInterval( g1, fileline.split("\t"), + g1.chrom_col, + g1.start_col, + g1.end_col, + g1.strand_col, + g1.default_strand, + g1.fix_strand ) + except Exception, exc: + print >> sys.stderr, str( exc ) + f1.close() + sys.exit() + interval_size = cluster_interval.end - cluster_interval.start + if outsize == -1 or \ + ( outsize > interval_size and output == 4 ) or \ + ( outsize < interval_size and output == 5 ) : + outinterval = cluster_interval + outsize = interval_size + out_file.write( "%s\n" % outinterval ) + + f1.close() + out_file.close() + + if g1.skipped > 0: + print skipped( g1, filedesc="" ) + +if __name__ == "__main__": + main()