Mercurial > repos > yufei-luo > s_mart
view smart_toolShed/SMART/Java/Python/mergeTranscriptLists.py @ 4:1fc014126d55
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author | yufei-luo |
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date | Fri, 18 Jan 2013 04:45:50 -0500 |
parents | e0f8dcca02ed |
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#! /usr/bin/env python # # Copyright INRA-URGI 2009-2010 # # This software is governed by the CeCILL license under French law and # abiding by the rules of distribution of free software. You can use, # modify and/ or redistribute the software under the terms of the CeCILL # license as circulated by CEA, CNRS and INRIA at the following URL # "http://www.cecill.info". # # As a counterpart to the access to the source code and rights to copy, # modify and redistribute granted by the license, users are provided only # with a limited warranty and the software's author, the holder of the # economic rights, and the successive licensors have only limited # liability. # # In this respect, the user's attention is drawn to the risks associated # with loading, using, modifying and/or developing or reproducing the # software by the user in light of its specific status of free software, # that may mean that it is complicated to manipulate, and that also # therefore means that it is reserved for developers and experienced # professionals having in-depth computer knowledge. Users are therefore # encouraged to load and test the software's suitability as regards their # requirements in conditions enabling the security of their systems and/or # data to be ensured and, more generally, to use and operate it in the # same conditions as regards security. # # The fact that you are presently reading this means that you have had # knowledge of the CeCILL license and that you accept its terms. # """Merge elements of two transcript lists with some condition""" import os, random, shutil, glob from optparse import OptionParser from commons.core.parsing.SequenceListParser import SequenceListParser from commons.core.parsing.BedParser import BedParser from commons.core.parsing.GffParser import GffParser from commons.core.writer.TranscriptWriter import TranscriptWriter from SMART.Java.Python.structure.TranscriptListsComparator import TranscriptListsComparator from SMART.Java.Python.structure.TranscriptContainer import TranscriptContainer from SMART.Java.Python.misc.RPlotter import RPlotter from SMART.Java.Python.misc.Progress import Progress class MergeLists(object): def __init__(self, verbosity): self.verbosity = verbosity self.seed = random.randint(0, 100000) self.aggregation = False self.normalization = False self.distance = False self.antisense = False self.colinear = False self.fileNames = {} self.formats = {} self.tmpFileNames = [] self.logHandle = None # def __del__(self): # for fileNameRoot in self.tmpFileNames: # for fileName in glob.glob("%s*" % (fileNameRoot)): # os.remove(fileName) # if self.logHandle != None: # self.logHandle.close() # self.logHandle = None def setLogFileName(self, fileName): self.logHandle = open(fileName, "w") def setInputFileName(self, fileName, format, id): self.fileNames[id] = fileName self.formats[id] = format def setOutputFileName(self, fileName): self.outputFileName = fileName def setAggregate(self, aggregation): self.aggregation = aggregation def setNormalization(self, normalization): self.normalization = normalization def setDistance(self, distance): self.distance = distance def setAntisense(self, antisense): self.antisense = antisense def setColinear(self, colinear): self.colinear = colinear def createTmpFileName(self, root): fileName = "tmp_%s_%d.gff3" % (root, self.seed) self.tmpFileNames.append(fileName) return fileName def selfMerge(self, fileName, format, outputFileName): transcriptListComparator = TranscriptListsComparator(self.logHandle, self.verbosity) transcriptListComparator.getColinearOnly(True) transcriptListComparator.setNormalization(self.normalization) transcriptContainer = TranscriptContainer(fileName, format, self.verbosity) writer = TranscriptWriter(outputFileName, "gff3", self.verbosity) transcriptListComparator.setInputTranscriptContainer(transcriptListComparator.QUERY, transcriptContainer) transcriptListComparator.setOutputWriter(writer) transcriptListComparator.compareTranscriptListSelfMerge() def keepOverlapping(self, fileNames, formats, outputFileName): transcriptListComparator = TranscriptListsComparator(self.logHandle, self.verbosity) transcriptListComparator.getAntisenseOnly(self.antisense) transcriptListComparator.getColinearOnly(self.colinear) for i in (0, 1): transcriptContainer = TranscriptContainer(fileNames[i], formats[i], self.verbosity) transcriptListComparator.setInputTranscriptContainer(i, transcriptContainer) transcriptListComparator.aggregate(self.aggregation) transcriptListComparator.setNormalization(self.normalization) transcriptListComparator.setMaxDistance(self.distance) writer = TranscriptWriter(outputFileName, "gff3", self.verbosity) transcriptListComparator.setOutputWriter(writer) transcriptListComparator.compareTranscriptList() def mergeFiles(self, fileName1, fileName2, outputFileName): outputFile = open(outputFileName, "w") shutil.copyfileobj(open(fileName1, "r"), outputFile) shutil.copyfileobj(open(fileName2, "r"), outputFile) outputFile.close() def run(self): selectedFileQuery = self.createTmpFileName("query") self.keepOverlapping({0: self.fileNames[0], 1: self.fileNames[0]}, {0: "gff3", 1: "gff3"}, selectedFileQuery) mergeFileTarget = self.createTmpFileName("target") self.selfMerge(self.fileNames[1], self.formats[1], mergeFileTarget) if not self.aggregation: overlapFile = self.createTmpFileName("overlap") self.keepOverlapping({0: mergeFileTarget, 1: selectedFileQuery}, {0: "gff3", 1: "gff3"}, overlapFile) mergeFileTarget = overlapFile mergeFileMerged = self.createTmpFileName("merged") self.mergeFiles(mergeFileTarget, selectedFileQuery, mergeFileMerged) self.selfMerge(mergeFileMerged, "gff3", self.outputFileName) if __name__ == "__main__": # parse command line description = "Merge Lists v1.0.3: Merge the elements of two lists of genomic coordinates. [Category: Merge]" parser = OptionParser(description = description) parser.add_option("-i", "--input1", dest="inputFileName1", action="store", type="string", help="input file 1 [compulsory] [format: file in transcript format given by -f]") parser.add_option("-f", "--format1", dest="format1", action="store", type="string", help="format of file 1 [compulsory] [format: transcript file format]") parser.add_option("-j", "--input2", dest="inputFileName2", action="store", default=None, type="string", help="input file 2 [compulsory] [format: file in transcript format given by -g]") parser.add_option("-g", "--format2", dest="format2", action="store", default=None, type="string", help="format of file 2 [compulsory] [format: file in transcript format]") parser.add_option("-o", "--output", dest="outputFileName", action="store", default=None, type="string", help="output file [compulsory] [format: output file in GFF3 format]") parser.add_option("-k", "--all", dest="all", action="store_true", default=False, help="print all the transcripts, not only those overlapping [format: bool] [default: false]") parser.add_option("-d", "--distance", dest="distance", action="store", default=0, type="int", help="max. distance between two transcripts [format: int] [default: 0]") parser.add_option("-a", "--antisense", dest="antisense", action="store_true", default=False, help="antisense only [format: bool] [default: false]") parser.add_option("-c", "--colinear", dest="colinear", action="store_true", default=False, help="colinear only [format: bool] [default: false]") parser.add_option("-n", "--normalize", dest="normalize", action="store_true", default=False, help="normalize the number of reads per cluster by the number of mappings per read [format: bool] [default: false]") parser.add_option("-v", "--verbosity", dest="verbosity", action="store", default=1, type="int", help="trace level [format: int]") (options, args) = parser.parse_args() # ml = MergeLists(logHandle, options.verbosity) ml = MergeLists(0) ml.setInputFileName(options.inputFileName1, options.format1, 0) ml.setInputFileName(options.inputFileName2, options.format2, 1) ml.setOutputFileName(options.outputFileName) ml.setAntisense(options.antisense) ml.setColinear(options.colinear) ml.setAggregate(options.all) ml.setNormalization(options.normalize) ml.setDistance(options.distance) ml.run()