Mercurial > repos > yufei-luo > s_mart
view commons/core/seq/BioseqDB.py @ 58:5f5c9b74c2dd
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author | m-zytnicki |
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date | Fri, 07 Feb 2014 11:53:36 -0500 |
parents | 769e306b7933 |
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# Copyright INRA (Institut National de la Recherche Agronomique) # http://www.inra.fr # http://urgi.versailles.inra.fr # # 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. import sys import re from commons.core.seq.Bioseq import Bioseq from commons.core.stat.Stat import Stat ## Handle a collection of a Bioseq (header-sequence) # class BioseqDB( object ): def __init__( self, name="" ): self.idx = {} self.idx_renamed = {} self.db = [] self.name = name if name != "": faFile = open( name ) self.read( faFile ) faFile.close() self.mean_seq_lgth = None self.stat = Stat() ## Equal operator # def __eq__( self, o ): selfSize = self.getSize() if selfSize != o.getSize(): return False nbEqualInstances = 0 for i in self.db: atLeastOneIsEqual = False for j in o.db: if i == j: atLeastOneIsEqual = True continue if atLeastOneIsEqual: nbEqualInstances += 1 if nbEqualInstances == selfSize: return True return False ## Change the name of the BioseqDB # # @param name the BioseqDB name # def setName(self, name): self.name = name ## Record each sequence of the input file as a list of Bioseq instances # # @param faFileHandler handler of a fasta file # def read( self, faFileHandler ): while True: seq = Bioseq() seq.read( faFileHandler ) if seq.sequence == None: break self.add( seq ) ## Write all Bioseq of BioseqDB in a formatted fasta file (60 character long) # # @param faFileHandler file handler of a fasta file # def write( self, faFileHandler ): for bs in self.db: bs.writeABioseqInAFastaFile( faFileHandler ) ## Write all Bioseq of BioseqDB in a formatted fasta file (60 character long) # # @param outFaFileName file name of fasta file # @param mode 'write' or 'append' # def save( self, outFaFileName, mode="w" ): outFaFile = open( outFaFileName, mode ) self.write( outFaFile ) outFaFile.close() ## Read a formatted fasta file and load it in the BioseqDB instance # # @param inFaFileName file name of fasta file # def load(self, inFaFileName): fichier = open(inFaFileName) self.read(fichier) fichier.close() ## Reverse each sequence of the collection # def reverse( self ): for bs in self.db: bs.reverse() ## Turn each sequence into its complement # def complement( self ): for bs in self.db: bs.complement() ## Reverse and complement each sequence # def reverseComplement( self ): for bs in self.db: bs.reverseComplement() ## Set the collection from a list of Bioseq instances # def setData( self, lBioseqs ): for i in lBioseqs: self.add( i ) ## Initialization of each attribute of the collection # def reset( self ): self.db = [] self.idx = {} self.name = None self.mean_seq_lgth = None self.stat.reset() ## Remove all the gap of the sequences of the collection # def cleanGap(self): for iBioSeq in self.db: iBioSeq.cleanGap() ## Add a Bioseq instance and update the attributes # # @param bs a Bioseq instance # def add( self, bs ): if self.idx.has_key( bs.header ): sys.stderr.write( "ERROR: two sequences with same header '%s'\n" % ( bs.header ) ) sys.exit(1) self.db.append( bs ) self.idx[ bs.header ] = len(self.db) - 1 self.idx_renamed[ bs.header.replace("::","-").replace(":","-").replace(",","-").replace(" ","_") ] = len(self.db) - 1 ## Give the Bioseq instance corresponding to specified index # # @return a Bioseq instance # def __getitem__(self,index): if index < len(self.db): return self.db[index] ## Give the number of sequences in the bank # # @return an integer # def getSize( self ): return len( self.db ) ## Give the cumulative sequence length in the bank # # @return an integer # def getLength( self ): cumLength = 0 for iBioseq in self.db: cumLength += iBioseq.getLength() return cumLength ## Return the length of a given sequence via its header # # @return an integer # def getSeqLength( self, header ): return self.fetch(header).getLength() ## Return a list with the sequence headers # def getHeaderList( self ): lHeaders = [] for bs in self.db: lHeaders.append( bs.header ) return lHeaders ## Return a list with the sequences # def getSequencesList( self ): lSeqs = [] for bs in self.db: lSeqs.append( bs.getSequence() ) return lSeqs ## Give the Bioseq instance of the BioseqDB specified by its header # # @warning name of this method not appropriate getBioseqByHeader is proposed # @param header string # @return a Bioseq instance # def fetch( self, header ): return self.db[self.idx[header]] ## Give the Bioseq instance of the BioseqDB specified by its renamed header # In renamed header "::", ":", "," character are been replaced by "-" and " " by "_" # # @param renamedHeader string # @return a Bioseq instance # def getBioseqByRenamedHeader( self, renamedHeader ): return self.db[self.idx_renamed[renamedHeader]] ## Count the number of times the given nucleotide is present in the bank. # # @param nt character (nt or aa) # @return an integer # def countNt( self, nt ): total = 0 for iBioseq in self.db: total+= iBioseq.countNt( nt ) return total ## Count the number of times each nucleotide (A,T,G,C,N) is present in the bank. # # @return a dictionary with nucleotide as key and an integer as values # def countAllNt( self ): dNt2Count = {} for nt in ["A","T","G","C","N"]: dNt2Count[ nt ] = self.countNt( nt ) return dNt2Count ## Extract a sub BioseqDB of specified size which beginning at specified start # # @param start integer index of first included Bioseq # @param size integer size of expected BioseqDB # @return a BioseqDB # def extractPart(self, start, size): iShorterBioseqDB = BioseqDB() for iBioseq in self.db[start:(start + size)]: iShorterBioseqDB.add(iBioseq) return iShorterBioseqDB ## Extract a sub BioseqDB with the specified number of best length Bioseq # # @param numBioseq integer the number of Bioseq searched # @return a BioseqDB # def bestLength(self, numBioseq): length_list = [] numseq = 0 for each_seq in self.db: if each_seq.sequence == None: l=0 else: l = each_seq.getLength() length_list.append(l) numseq = numseq + 1 length_list.sort() size = len(length_list) if numBioseq < size: len_min = length_list[size-numBioseq] else: len_min = length_list[0] numseq = 0 nbsave = 0 bestSeqs = BioseqDB() bestSeqs.setName(self.name) for each_seq in self.db: if each_seq.sequence == None: l=0 else : l = each_seq.getLength() numseq = numseq + 1 if l >= len_min: bestSeqs.add(each_seq) nbsave = nbsave + 1 if nbsave == numBioseq : break return bestSeqs ## Extract a sub BioseqDB from a file with Bioseq header containing the specified pattern # # @param pattern regular expression of wished Bioseq header # @param inFileName name of fasta file in which we want extract the BioseqDB # def extractPatternOfFile(self, pattern, inFileName): if pattern=="" : return srch=re.compile(pattern) file_db=open(inFileName) numseq=0 nbsave=0 while 1: seq=Bioseq() seq.read(file_db) if seq.sequence==None: break numseq+=1 m=srch.search(seq.header) if m: self.add(seq) nbsave+=1 file_db.close() ## Extract a sub BioseqDB from the instance with all Bioseq header containing the specified pattern # # @param pattern regular expression of wished Bioseq header # # @return a BioseqDB # def getByPattern(self,pattern): if pattern=="" : return iBioseqDB=BioseqDB() srch=re.compile(pattern) for iBioseq in self.db: if srch.search(iBioseq.header): iBioseqDB.add(iBioseq) return iBioseqDB ## Extract a sub BioseqDB from the instance with all Bioseq header not containing the specified pattern # # @param pattern regular expression of not wished Bioseq header # # @return a BioseqDB # def getDiffFromPattern(self,pattern): if pattern=="" : return iBioseqDB=BioseqDB() srch=re.compile(pattern) for iBioseq in self.db: if not srch.search(iBioseq.header): iBioseqDB.add(iBioseq) return iBioseqDB #TODO: to run several times to remove all concerned sequences when big data. How to fix it ? ## Remove from the instance all Bioseq which header contains the specified pattern # # @param pattern regular expression of not wished Bioseq header # def rmByPattern(self,pattern): if pattern=="" : return srch=re.compile(pattern) for seq in self.db: if srch.search(seq.header): self.db.remove(seq) ## Copy a part from another BioseqDB in the BioseqDB if Bioseq have got header containing the specified pattern # # @warning this method is called extractPattern in pyRepet.seq.BioseqDB # # @param pattern regular expression of wished Bioseq header # @param sourceBioseqDB the BioseqDB from which we want extract Bioseq # def addBioseqFromABioseqDBIfHeaderContainPattern(self, pattern, sourceBioseqDB): if pattern=="" : return srch=re.compile(pattern) for seq in sourceBioseqDB.db: m=srch.search(seq.header) if m: self.add(seq) ## Up-case the sequence characters in all sequences # def upCase( self ): for bs in self.db: bs.upCase() ## Split each gapped Bioseq in a list and store all in a dictionary # # @return a dict, keys are bioseq headers, values are list of Map instances # def getDictOfLMapsWithoutGaps( self ): dSeq2Maps = {} for bs in self.db: dSeq2Maps[ bs.header ] = bs.getLMapWhithoutGap() return dSeq2Maps ## Give the list of the sequence length in the bank # # @return an list # def getListOfSequencesLength( self ): lLength = [] for iBioseq in self.db: lLength.append(iBioseq.getLength()) return lLength ## Return sequence length for a list of sequence header # def getSeqLengthByListOfName( self, lHeaderName ): lseqLength=[] for headerName in lHeaderName: lseqLength.append(self.getSeqLength( headerName )) return lseqLength