Python QueryResult.target方法代码示例

# 需要导入模块: from Bio.SearchIO._model import QueryResult [as 别名]
# 或者: from Bio.SearchIO._model.QueryResult import target [as 别名]
    def _parse_qresult(self):
        # initial qresult value
        qresult = None
        hit_rows = []
        # state values
        state_QRES_NEW = 1
        state_QRES_HITTAB = 3
        state_QRES_CONTENT = 5
        state_QRES_END = 7

        while True:

            # one line before the hit table
            if self.line.startswith('The best scores are:'):
                qres_state = state_QRES_HITTAB
            # the end of a query or the file altogether
            elif self.line.strip() == '>>>///' or not self.line:
                qres_state = state_QRES_END
            # the beginning of a new query
            elif not self.line.startswith('>>>') and '>>>' in self.line:
                qres_state = state_QRES_NEW
            # the beginning of the query info and its hits + hsps
            elif self.line.startswith('>>>') and not \
                    self.line.strip() == '>>><<<':
                qres_state = state_QRES_CONTENT
            # default qres mark
            else:
                qres_state = None

            if qres_state is not None:
                if qres_state == state_QRES_HITTAB:
                    # parse hit table if flag is set
                    hit_rows = self.__parse_hit_table()

                elif qres_state == state_QRES_END:
                    yield _set_qresult_hits(qresult, hit_rows)
                    break

                elif qres_state == state_QRES_NEW:
                    # if qresult is filled, yield it first
                    if qresult is not None:
                        yield _set_qresult_hits(qresult, hit_rows)
                    regx = re.search(_RE_ID_DESC_SEQLEN, self.line)
                    query_id = regx.group(1)
                    seq_len = regx.group(3)
                    desc = regx.group(2)
                    qresult = QueryResult(id=query_id)
                    qresult.seq_len = int(seq_len)
                    # get target from the next line
                    self.line = self.handle.readline()
                    qresult.target = [x for x in self.line.split(' ') if x][1].strip()
                    if desc is not None:
                        qresult.description = desc
                    # set values from preamble
                    for key, value in self._preamble.items():
                        setattr(qresult, key, value)

                elif qres_state == state_QRES_CONTENT:
                    assert self.line[3:].startswith(qresult.id), self.line
                    for hit, strand in self._parse_hit(query_id):
                        # HACK: re-set desc, for hsp hit and query description
                        hit.description = hit.description
                        hit.query_description = qresult.description
                        # if hit is not in qresult, append it
                        if hit.id not in qresult:
                            qresult.append(hit)
                        # otherwise, it might be the same hit with a different strand
                        else:
                            # make sure strand is different and then append hsp to
                            # existing hit
                            for hsp in hit.hsps:
                                assert strand != hsp.query_strand
                                qresult[hit.id].append(hsp)

            self.line = self.handle.readline()

# 需要导入模块: from Bio.SearchIO._model import QueryResult [as 别名]
# 或者: from Bio.SearchIO._model.QueryResult import target [as 别名]
    def __iter__(self):
        for rec in self.blast_iter:
            # set attributes to SearchIO's
            # get id and desc
            if rec.query.startswith('>'):
                rec.query = rec.query[1:]
            try:
                qid, qdesc = rec.query.split(' ', 1)
            except ValueError:
                qid, qdesc = rec.query, ''
            qdesc = qdesc.replace('\n', '').replace('\r', '')

            qresult = QueryResult(id=qid)
            qresult.program = rec.application.lower()
            qresult.target = rec.database
            qresult.seq_len = rec.query_letters
            qresult.version = rec.version

            # determine alphabet based on program
            if qresult.program == 'blastn':
                alphabet = generic_dna
            elif qresult.program in ['blastp', 'blastx', 'tblastn', 'tblastx']:
                alphabet = generic_protein

            # iterate over the 'alignments' (hits) and the hit table
            for idx, aln in enumerate(rec.alignments):
                # get id and desc
                if aln.title.startswith('> '):
                    aln.title = aln.title[2:]
                elif aln.title.startswith('>'):
                    aln.title = aln.title[1:]
                try:
                    hid, hdesc = aln.title.split(' ', 1)
                except ValueError:
                    hid, hdesc = aln.title, ''
                hdesc = hdesc.replace('\n', '').replace('\r', '')

                # iterate over the hsps and group them in a list
                hsp_list = []
                for bhsp in aln.hsps:
                    frag = HSPFragment(hid, qid)
                    frag.alphabet = alphabet
                    # set alignment length
                    frag.aln_span = bhsp.identities[1]
                    # set frames
                    try:
                        frag.query_frame = int(bhsp.frame[0])
                    except IndexError:
                        if qresult.program in ('blastp', 'tblastn'):
                            frag.query_frame = 0
                        else:
                            frag.query_frame = 1
                    try:
                        frag.hit_frame = int(bhsp.frame[1])
                    except IndexError:
                        if qresult.program in ('blastp', 'tblastn'):
                            frag.hit_frame = 0
                        else:
                            frag.hit_frame = 1
                    # set query coordinates
                    frag.query_start = min(bhsp.query_start,
                            bhsp.query_end) - 1
                    frag.query_end = max(bhsp.query_start, bhsp.query_end)
                    # set hit coordinates
                    frag.hit_start = min(bhsp.sbjct_start,
                            bhsp.sbjct_end) - 1
                    frag.hit_end = max(bhsp.sbjct_start, bhsp.sbjct_end)
                    # set query, hit sequences and its annotation
                    qseq = ''
                    hseq = ''
                    midline = ''
                    for seqtrio in zip(bhsp.query, bhsp.sbjct, bhsp.match):
                        qchar, hchar, mchar = seqtrio
                        if qchar == ' ' or hchar == ' ':
                            assert all(' ' == x for x in seqtrio)
                        else:
                            qseq += qchar
                            hseq += hchar
                            midline += mchar
                    frag.query, frag.hit = qseq, hseq
                    frag.aln_annotation['similarity'] = midline

                    # create HSP object with the fragment
                    hsp = HSP([frag])
                    hsp.evalue = bhsp.expect
                    hsp.bitscore = bhsp.bits
                    hsp.bitscore_raw = bhsp.score
                    # set gap
                    try:
                        hsp.gap_num = bhsp.gaps[0]
                    except IndexError:
                        hsp.gap_num = 0
                    # set identity
                    hsp.ident_num = bhsp.identities[0]
                    hsp.pos_num = bhsp.positives[0]
                    if hsp.pos_num is None:
                        hsp.pos_num = hsp[0].aln_span

                    hsp_list.append(hsp)

#.........这里部分代码省略.........