170 lines
7.3 KiB
Python
Executable File
170 lines
7.3 KiB
Python
Executable File
import sys
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import os
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import re
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import traceback
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import shlex, subprocess
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from optparse import OptionParser, OptionGroup
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from IndentedHelpFormatterWithNL import *
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import time
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# Init cmd-line args
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description = """
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This script submits LSF jobs that run the GATK TranscriptToInfo Walker on each individual chromosome. This reduces the overall runtime to a manageable ammount (eg. < 1 day).
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NOTE: This script must be run in the top level dir of your GATK checkout area.
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"""
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parser = OptionParser( description=description, usage="usage: %prog [options] ", formatter=IndentedHelpFormatterWithNL())
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parser.add_option("-i", "--transcript-table", metavar="PATH", dest="transcript_table", help="Path of the file that contains the transcript data in AnnotatorROD format (eg. /humgen/gsa-hpprojects/GATK/data/Annotations/refseq/raw/refGene-converted.txt)")
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parser.add_option("-f", "--output-filename-prefix", metavar="PREFIX", dest="prefix", help="Output filename prefix (eg. refGene)")
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parser.add_option("-p", "--print", dest="justprint", action="store_true", default=False, help="Only print the commands to standard out, don't actually execute them yet.")
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parser.add_option("-e", "--execute", dest="execute", action="store_true", default=False, help="Executes the commands. This flag acts as a confirmation that you want to proceed with launching the processes.")
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parser.add_option("-l", "--locally", dest="run_locally", action="store_true", default=False, help="Don't submit the commands to LSF. Run them sequentially on the current machine.")
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parser.add_option("-R", "--reference", metavar="PATH", dest="reference", help="Specifies the path of the reference file to use.", default="/seq/references/Homo_sapiens_assembly18/v0/Homo_sapiens_assembly18.fasta")
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parser.add_option("-n", "--gene-name-columns", dest="gene_name_columns", metavar="GENE_NAMES", help="Comma-separated list of column names that contain gene names. This arg is passed through to the GenomicAnnotator. The GenomicAnnotator docs have more details on this.")
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parser.add_option("-q", "--queue", dest="queue", metavar="QUEUE", help="Specifies the LSF queue to use.", default="solexa")
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parser.add_option("-s", "--num-parallel-processes", dest="num_parallel_processes", metavar="SLOTS", help="How many processes to launch simultaneously. This is only used when the -l option is set.", default="1")
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parser.add_option("-v", "--filter-in-chromosomes", dest="filterin", metavar="FILTER", help="Only process these chromosomes - specified by a python expression which must evaluate to a list (eg. ['chr1', 'chr2', 'chr3'] or ['chr'+x for x in range(1, 10)].")
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parser.add_option("-w", "--filter-out-chromosomes", dest="filterout", metavar="FILTER", help="Skip these chromosomes - specified by a python expression which must evaluate to a list (eg. ['chr1', 'chr2', 'chr3'] or ['chr'+x for x in range(1, 10)].")
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(options, args) = parser.parse_args()
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def error(msg):
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print("ERROR: %s. (Rerun with -h to print help info) \n" % msg)
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parser.print_help()
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sys.exit(-1)
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run = options.execute
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justprint = options.justprint
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run_locally = options.run_locally
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if not run and not justprint:
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error("Must run with either -p or -e")
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transcript_table = options.transcript_table
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if not transcript_table or not os.access(transcript_table, os.R_OK):
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error("Must specify a valid transcript table file path using -i")
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gene_name_columns = options.gene_name_columns
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if not gene_name_columns:
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error("Must specify gene name columns using -n")
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output_file_prefix = options.prefix
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if not output_file_prefix:
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error("Must specify the output file prefix using -f")
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reference = options.reference
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if not os.access(reference, os.R_OK):
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error("Couldn't access reference file: "+ reference)
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queue = options.queue
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num_parallel_processes = int(options.num_parallel_processes)
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if options.filterout and options.filterin:
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error("Either -v or -w filters can be specified, but not both")
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elif options.filterout:
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filter_out = True
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chr_filter = options.filterout
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elif options.filterin:
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filter_out = False
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chr_filter = options.filterin
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else:
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chr_filter = None
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if chr_filter:
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try:
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chr_filter = eval(chr_filter)
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except Exception, e:
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error("Invalid filter string: " + chr_filter + " " + str(e))
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if type(chr_filter) != type([]):
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error("Filter string doesn't evaluate to a list: " + chr_filter)
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transcript_dir = os.path.dirname(transcript_table)
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logs_dir = os.path.join(transcript_dir,"logs")
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contig_chars = ["M"] + range(1,23) + ["X", "Y"]
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contigs = []
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contigs += [ "chr" + str(x) for x in contig_chars ]
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contigs += [ "chr" + str(x) + "_random" for x in set( contig_chars ).difference(set(['M',12,14,20,'X','Y'])) ] # There are no "_random" chromosomes for chrM,12,14,20,Y
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if chr_filter:
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if filter_out:
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contigs = [ x for x in contigs if x in set( contigs ).difference(set(chr_filter)) ] # Filter out contigs
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else:
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contigs = chr_filter # Only process these contigs
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while True:
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input_str = raw_input("Filter applied: " + str(chr_filter) + "\nWill process: " + str(contigs) + ".\n Proceed [Y/N]? ")
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if input_str.upper() == "Y":
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break
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elif input_str.upper() == "N":
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sys.exit(0)
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else:
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print("Please enter Y or N")
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if run:
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print("Deleting any previous logs...")
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os.system("rm " + os.path.join(logs_dir,"bsub_*_log.txt"))
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os.system("mkdir " + logs_dir)
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running_processes = []
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def execute(command, stdout_filename=None):
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# Wait until a slot becomes open
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while len( running_processes ) + 1 >= num_parallel_processes:
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# Check if any have ended
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for process in running_processes:
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if process.poll() != None:
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print("Process [pid=" + str(process.pid) + "] finished with exit status: " + str(process.returncode))
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running_processes.remove(process)
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break
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else:
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time.sleep(3) # Sleep for 3 seconds before checking again
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# A slot has opened up - start another process
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stdout = None
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if stdout_filename:
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stdout = open(stdout_filename, "w+")
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p = subprocess.Popen(shlex.split(command), stdout=stdout, stderr=subprocess.STDOUT)
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running_processes.append(p)
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for contig in contigs:
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if contig.count("random") or contig.lower().count("chrm"):
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MEMORY_USAGE = 10 # Gigabytes
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EXCLUSIVE = ""
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else:
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if run_locally:
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MEMORY_USAGE = 64
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else:
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MEMORY_USAGE = 32
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EXCLUSIVE = ""
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command = "java -Xmx"+str(MEMORY_USAGE)+"g -jar dist/GenomeAnalysisTK.jar -T TranscriptToInfo -l info -nt " + str(num_parallel_processes) + " -R " + reference + " -B transcripts,AnnotatorInputTable,"+transcript_table+" -n "+gene_name_columns+" -o "+ os.path.join(transcript_dir,output_file_prefix) +"-big-table-ucsc-%s.txt -L %s:1+ " % (contig, contig)
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if not run_locally:
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command = "bsub "+EXCLUSIVE+" -q " + queue + " -R \"rusage[mem="+str(MEMORY_USAGE)+"]\" -o " + os.path.join(logs_dir,contig+"_log.txt") + " " + command
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if run:
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print("Executing: " + command)
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if run_locally:
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#execute(command, os.path.join(logs_dir,contig+"_log.txt"))
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os.system(command + " >& " + os.path.join(logs_dir,contig+"_log.txt"))
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else:
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os.system(command)
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else:
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print(command)
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