Python QueryResult.description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 description [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 description [as 别名]
    def _parse_qresult(self):
        """Parses query results."""
        # parse the queries
        for event, qresult_elem in self.xml_iter:
            # </Iteration> marks the end of a single query
            # which means we can process it
            if event == 'end' and qresult_elem.tag == 'Iteration':

                # we'll use the following schema
                # <!ELEMENT Iteration (
                #        Iteration_iter-num,
                #        Iteration_query-ID?,
                #        Iteration_query-def?,
                #        Iteration_query-len?,
                #        Iteration_hits?,
                #        Iteration_stat?,
                #        Iteration_message?)>

                # assign query attributes with fallbacks
                query_id = qresult_elem.findtext('Iteration_query-ID')
                if query_id is None:
                    query_id = self._fallback['id']

                query_desc = qresult_elem.findtext('Iteration_query-def')
                if query_desc is None:
                    query_desc = self._fallback['description']

                query_len = qresult_elem.findtext('Iteration_query-len')
                if query_len is None:
                    query_len = self._fallback['len']

                # handle blast searches against databases with Blast's IDs
                # 'Query_' marks the beginning of a BLAST+-generated ID,
                # 'lcl|' marks the beginning of a BLAST legacy-generated ID
                if query_id.startswith('Query_') or query_id.startswith('lcl|'):
                    # store the Blast-generated query ID
                    blast_query_id = query_id
                    id_desc = query_desc.split(' ', 1)
                    query_id = id_desc[0]
                    try:
                        query_desc = id_desc[1]
                    except IndexError:
                        query_desc = ''
                else:
                    blast_query_id = ''

                hit_list, key_list = [], []
                for hit in self._parse_hit(qresult_elem.find('Iteration_hits'),
                        query_id):
                    if hit:
                        # need to keep track of hit IDs, since there could be duplicates,
                        if hit.id in key_list:
                            warnings.warn("Adding hit with BLAST-generated ID "
                                    "%r since hit ID %r is already present "
                                    "in query %r. Your BLAST database may contain "
                                    "duplicate entries." %
                                    (hit._blast_id, hit.id, query_id), BiopythonParserWarning)
                            # fallback to Blast-generated IDs, if the ID is already present
                            # and restore the desc, too
                            hit.description = '%s %s' % (hit.id, hit.description)
                            hit.id = hit._blast_id
                            # and change the hit_id of the HSPs contained
                            for hsp in hit:
                                hsp.hit_id = hit._blast_id
                        else:
                            key_list.append(hit.id)

                        hit_list.append(hit)

                # create qresult and assign its attributes
                qresult = QueryResult(hit_list, query_id)
                qresult.description = query_desc
                qresult.seq_len = int(query_len)
                qresult._blast_id = blast_query_id
                for key, value in self._meta.items():
                    setattr(qresult, key, value)

                # statistics are stored in Iteration_stat's 'grandchildren' with the
                # following DTD
                # <!ELEMENT Statistics (
                #        Statistics_db-num,
                #        Statistics_db-len,
                #        Statistics_hsp-len,
                #        Statistics_eff-space,
                #        Statistics_kappa,
                #        Statistics_lambda,
                #        Statistics_entropy)>

                stat_iter_elem = qresult_elem.find('Iteration_stat')
                if stat_iter_elem is not None:
                    stat_elem = stat_iter_elem.find('Statistics')

                    for key, val_info in _ELEM_QRESULT_OPT.items():
                        value = stat_elem.findtext(key)
                        if value is not None:
                            caster = val_info[1]
                            # recast only if value is not intended to be str
                            if value is not None and caster is not str:
                                value = caster(value)
                            setattr(qresult, val_info[0], value)
#.........这里部分代码省略.........

# 需要导入模块: from Bio.SearchIO._model import QueryResult [as 别名]
# 或者: from Bio.SearchIO._model.QueryResult import description [as 别名]

#.........这里部分代码省略.........
                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)

                hit = Hit(hsp_list)
                hit.seq_len = aln.length
                hit.description = hdesc
                qresult.append(hit)

            qresult.description = qdesc
            yield qresult