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Copy pathgenerateCPseries.py
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executable file
·129 lines (98 loc) · 4.18 KB
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#!/usr/bin/env python
""" Convert CPfluors into CPseries.
This script requires you to already have quantified images with another pipeline.
Inputs:
Sequence data (.CPseq files)
CPfluor files (.CPfluor files or directories)
Outputs:
CPseries files
Ben Ober-Reynolds, modified from a script by Sarah Denny """
import sys
import os
import argparse
import cpfiletools
from joblib import Parallel, delayed
### MAIN ###
def main():
################ Parse input parameters ################
#set up command line argument parser
parser = argparse.ArgumentParser(description='Script for generating CPseries files from CPseq and CPfluor files')
group = parser.add_argument_group('required arguments for processing data')
group.add_argument('-fs', '--filtered_CPseqs', required=True,
help='directory that holds the filtered sequence data (CPseq)')
group.add_argument('-bs', '--bsCPfluors', required=True,
help='directory containing binding series CPfluor files')
group = parser.add_argument_group('optional arguments for processing data')
group.add_argument('-od','--output_dir', default="CPseries",
help='save output files to here. default = ./CPseries')
group.add_argument('-ar','--allRNA', default='',
help='directory containing allRNA CPfluor files')
group = parser.add_argument_group('other settings')
group.add_argument('-n','--num_cores', type=int, default=20,
help='maximum number of cores to use. default=20')
if not len(sys.argv) > 1:
parser.print_help()
sys.exit()
#parse command line arguments
args = parser.parse_args()
numCores = args.num_cores
# import CPseq filtered files split by tile
print "Finding CPseq files in directory {}...".format(args.filtered_CPseqs)
# Gather all of the CPseq files in the 'filtered_CPseqs' file directory
CPseqFilenames = cpfiletools.find_files_in_directory(args.filtered_CPseqs, ['CPseq'])
if len(CPseqFilenames) < 1:
print "Error: No CPseq files found in directory: " + args.filtered_CPseqs
sys.exit()
print "Found CPseq files: "
printList(CPseqFilenames)
# Create a dictionary of the CPseq files keyed by tile
CPseqDict = cpfiletools.make_tile_dict(CPseqFilenames, args.filtered_CPseqs)
tileList = CPseqDict.keys()
# Gather all of the CPfluor files for all RNA images, if provided
allRNA_Dict = {}
if args.allRNA != '':
print "Finding allRNA CPfluor files in directory {}...".format(args.allRNA)
allRNAfilenames = cpfiletools.find_files_in_directory(args.allRNA, ['CPfluor'])
print "Found allRNA files: "
printList(allRNAfilenames)
if len(allRNAfilenames) < 1:
print "Error: no CPfluor files found in directory: " + args.allRNA
allRNA_Dict = cpfiletools.make_tile_dict(allRNAfilenames, args.allRNA)
else:
for tile in tileList:
allRNA_Dict[tile] = ''
# Gather all of the CPfluor files for creating the cluster binding series
print "Finding binding series CPfluor files in directory {}...".format(args.bsCPfluors)
bindingSeriesList = cpfiletools.find_files_in_directory(args.bsCPfluors, ['CPfluor'])
print "Found CPfluor files: "
printList(bindingSeriesList)
bindingSeriesDict = cpfiletools.make_tile_dict_multiple(bindingSeriesList, args.bsCPfluors)
# Make sure output directory is ready:
outputDirectory = args.output_dir
if os.path.isdir(outputDirectory):
print "Output directory {} already exists".format(outputDirectory)
else:
outputDirectory = os.path.join(os.getcwd(), outputDirectory)
print "Making output directory: {}".format(outputDirectory)
os.makedirs(outputDirectory)
# Make CPseries files
CPseriesDict = {}
for tile, fileName in CPseqDict.items():
path, baseFile = os.path.split(fileName)
CPseriesDict[tile] = os.path.join(outputDirectory, baseFile.split('.')[0]+'.CPseries')
# Make CPseries files in parallel:
print "Making CPseries files..."
(Parallel(n_jobs=numCores, verbose = 10)
(delayed(cpfiletools.generate_CPseries_files)
(CPseqDict[tile],
allRNA_Dict[tile],
bindingSeriesDict[tile],
CPseriesDict[tile],
tile)
for i, tile in enumerate(tileList)))
print "Done"
def printList(lst):
for l in lst:
print "\t{}".format(l)
if __name__ == '__main__':
main()