Python pysam.AlignedSegment方法代碼示例

# 需要導入模塊: import pysam [as 別名]
# 或者: from pysam import AlignedSegment [as 別名]
def __init__(self, read):
        """Class for manipulating reads

        Parameters
        ==========
        read : pysam.AlignedSegment
        """

        # redefine all properties of interest explicitly from pysam.AlignedSegment object as
        # attributes of this class. The reason for this is that some of the AlignedSegment
        # attributes have no __set__ methods, so are read only. Since this class is designed to
        # modify some of these attributes, and since we want to maintain consistency across
        # attributes, all attributes of interest are redefined here
        self.cigartuples = np.array(read.cigartuples)
        self.query_sequence = np.frombuffer(read.query_sequence.encode('ascii'), np.uint8)
        self.reference_start = read.reference_start
        self.reference_end = read.reference_end

        if read.has_tag('MD'):
            self.reference_sequence = np.frombuffer(read.get_reference_sequence().upper().encode('ascii'), np.uint8)
        else:
            self.reference_sequence = np.array([ord('N')] * (self.reference_end - self.reference_start))

        # See self.vectorize
        self.v = None 

# 需要導入模塊: import pysam [as 別名]
# 或者: from pysam import AlignedSegment [as 別名]
def write_bam(fname, alignments, header, bam=True):
    """Write a `.bam` file for a set of alignments.

    :param fname: output filename.
    :param alignments: a list of `Alignment` tuples.
    :param header: bam header
    :param bam: write bam, else sam

    """
    mode = 'wb' if bam else 'w'
    with pysam.AlignmentFile(fname, mode, header=header) as fh:
        for ref_id, subreads in enumerate(alignments):
            for aln in sorted(subreads, key=lambda x: x.rstart):
                a = pysam.AlignedSegment()
                a.reference_id = ref_id
                a.query_name = aln.qname
                a.query_sequence = aln.seq
                a.reference_start = aln.rstart
                a.cigarstring = aln.cigar
                a.flag = aln.flag
                a.mapping_quality = 60
                fh.write(a)
    if mode == 'wb':
        pysam.index(fname) 

# 需要導入模塊: import pysam [as 別名]
# 或者: from pysam import AlignedSegment [as 別名]
def printFastaEntry(sequence, name, index, conversions, readOutSAM, conversionRate):
    #a = pysam.AlignedSegment()
    print(name + "_" + str(index) + "_" + str(conversions),
          "4",
          "*",
          "0",
          "0",
          "*",
          "*",
          "0",
          "0",
          sequence,
          "F" * len(sequence),
          "TC:i:" + str(conversions),
          "ID:i:" + str(index),
          "CR:f" + str(conversionRate),
           file=readOutSAM, sep="\t") 

# 需要導入模塊: import pysam [as 別名]
# 或者: from pysam import AlignedSegment [as 別名]
def get_blocks(self):
        """Mimic the get_blocks function from AlignedSegment.

        Notes
        =====
        - Takes roughly 200us
        """

        blocks = []
        block_start = self.reference_start
        block_length = 0

        for _, length, consumes_read, consumes_ref in iterate_cigartuples(self.cigartuples, constants.cigar_consumption):
            if consumes_read and consumes_ref:
                block_length += length

            elif consumes_read and not consumes_ref:
                if block_length:
                    blocks.append((block_start, block_start + block_length))

                block_start = block_start + block_length
                block_length = 0

            elif not consumes_read and consumes_ref:
                if block_length:
                    blocks.append((block_start, block_start + block_length))

                block_start = block_start + block_length + length
                block_length = 0

            else:
                pass

        if block_length:
            blocks.append((block_start, block_start + block_length))

        return blocks 

# 需要導入模塊: import pysam [as 別名]
# 或者: from pysam import AlignedSegment [as 別名]
def parse_custom_SAM_tags(sam_record: pysam.AlignedSegment):
    """ Looks for the following tags in the read. Will be set to None if no tag
        is found 
            fA: fraction As in the 10-bp interval following the alignment end
            lC: custom label (type = string)
            lA: custom allele label (type = string)
            tS: flag indicating start site support (type = string)
            tE: flag indicating end site support (typ = string)
    """
    try:
        fraction_As = sam_record.get_tag("fA")
    except:
        fraction_As = None
    try:
        custom_label = sam_record.get_tag("lC")
    except:
        custom_label = None
    try:
        allelic_label = sam_record.get_tag("lA")
    except:
        allelic_label = None
    try:
        start_support = sam_record.get_tag("tS")
    except:
        start_support = None
    try:
        end_support = sam_record.get_tag("tE")
    except:
        end_support = None

    return fraction_As, custom_label, allelic_label, start_support, end_support 

# 需要導入模塊: import pysam [as 別名]
# 或者: from pysam import AlignedSegment [as 別名]
def compute_transcript_end(transcript=pysam.AlignedSegment):
    """ Compute the position of the final transcript base relative to the genome,
        taking strand into account. Position is 1-based. """

    strand = "-" if transcript.is_reverse else "+"
    if strand == '+':
        return transcript.reference_end
    if strand == '-':
        return transcript.reference_start + 1 # (make 1-based) 

# 需要導入模塊: import pysam [as 別名]
# 或者: from pysam import AlignedSegment [as 別名]
def check_read_quality(sam_record: pysam.AlignedSegment, run_info):
    """ Process an individual sam read and return quality attributes. """
    read_ID = sam_record.query_name
    flag = sam_record.flag
    cigar = sam_record.cigarstring
    seq = sam_record.query
    read_length = sam_record.query_length
    dataset = sam_record.get_tag('RG')
 
    # Only use uniquely mapped transcripts
    if flag not in [0, 16]:
        return [dataset, read_ID, 0, 0, read_length, "NA", "NA"]

    # Only use reads that are greater than or equal to length threshold
    if read_length < run_info.min_length:
        return [dataset, read_ID, 0, 1, read_length, "NA", "NA"]

    # Locate the MD field of the sam transcript
    try:
        md_tag = sam_record.get_tag('MD')
    except KeyError:
        raise ValueError("SAM transcript %s lacks an MD tag" % read_ID)

    # Only use reads where alignment coverage and identity exceed
    # cutoffs
    coverage = compute_alignment_coverage(cigar)
    identity = compute_alignment_identity(md_tag, seq)

    if coverage < run_info.min_coverage or \
       identity < run_info.min_identity:
        return [dataset, read_ID, 0, 1, read_length, coverage, identity]

    # At this point, the read has passed the quality control
    return [dataset, read_ID, 1, 1, read_length, coverage, identity] 

# 需要導入模塊: import pysam [as 別名]
# 或者: from pysam import AlignedSegment [as 別名]
def get_introns(sam_record: pysam.AlignedSegment, start, cigar):
    """ Locates the jI field in a list of SAM fields or computes
        it from the CIGAR string and start position if it isn't found.
        Note that positions refer to start and endpoints of introns, not exons,
        so adjustments are needed to avoid an off-by-one error if you want exons.

        Example jI strings:
            no introns: jI:B:i,-1
            two introns: jI:B:i,167936516,167951806,167951862,167966628
        Args:
            sam_record: a pysam AlignedSegment
            start: The start position of the transcript with respect to the
            forward strand
            cigar: SAM CIGAR string describing match operations to the reference
            genome
        Returns:
            intron_list: intron starts and ends in a list (sorted order)
    """
    try:
        intron_list = sam_record.get_tag("jI").tolist()
    except KeyError:
        jI = compute_jI(start, cigar)
        intron_list = [int(x) for x in jI.split(",")[1:]]

    if intron_list[0] == -1:
        return []
    else:
        return intron_list 

# 需要導入模塊: import pysam [as 別名]
# 或者: from pysam import AlignedSegment [as 別名]
def _no_extension(self, read: pysam.AlignedSegment) -> str:
        return read.get_tag(self.umibarcode_str) 

# 需要導入模塊: import pysam [as 別名]
# 或者: from pysam import AlignedSegment [as 別名]
def _extension_Nbp(self, read: pysam.AlignedSegment) -> str:
        return read.get_tag(self.umibarcode_str) + read.query_alignment_sequence[:self.umi_bp] 

# 需要導入模塊: import pysam [as 別名]
# 或者: from pysam import AlignedSegment [as 別名]
def _extension_Gene(self, read: pysam.AlignedSegment) -> str:
        try:
            return read.get_tag(self.umibarcode_str) + "_" + read.get_tag("GX")  # catch the error
        except KeyError:
            return read.get_tag(self.umibarcode_str) + "_withoutGX" 

# 需要導入模塊: import pysam [as 別名]
# 或者: from pysam import AlignedSegment [as 別名]
def _placeolder_umi(self, read: pysam.AlignedSegment) -> str:
        return ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(vcy.PLACEHOLDER_UMI_LEN)) 

# 需要導入模塊: import pysam [as 別名]
# 或者: from pysam import AlignedSegment [as 別名]
def _extension_chr(self, read: pysam.AlignedSegment) -> str:
        return read.get_tag(self.umibarcode_str) + f"_{read.rname}:{read.reference_start // 10000000}"  # catch the error 

# 需要導入模塊: import pysam [as 別名]
# 或者: from pysam import AlignedSegment [as 別名]
def _bam_id_barcode(self, read: pysam.AlignedSegment) -> str:
        return f"{self._current_bamfile}" 

# 需要導入模塊: import pysam [as 別名]
# 或者: from pysam import AlignedSegment [as 別名]
def bam_iterator(bam):
    """Returns an iterator for the given SAM/BAM file (must be query-sorted).
    In each call, the alignments of a single read are yielded as a 3-tuple: (list of primary pysam.AlignedSegment, list of supplementary pysam.AlignedSegment, list of secondary pysam.AlignedSegment)."""
    alignments = bam.fetch(until_eof=True)
    current_aln = next(alignments)
    current_read_name = current_aln.query_name
    current_prim = []
    current_suppl = []
    current_sec = []
    if current_aln.is_secondary:
        current_sec.append(current_aln)
    elif current_aln.is_supplementary:
        current_suppl.append(current_aln)
    else:
        current_prim.append(current_aln)
    while True:
        try:
            next_aln = next(alignments)
            next_read_name = next_aln.query_name
            if next_read_name != current_read_name:
                yield (current_prim, current_suppl, current_sec)
                current_read_name = next_read_name
                current_prim = []
                current_suppl = []
                current_sec = []
            if next_aln.is_secondary:
                current_sec.append(next_aln)
            elif next_aln.is_supplementary:
                current_suppl.append(next_aln)
            else:
                current_prim.append(next_aln)
        except StopIteration:
            break
    yield (current_prim, current_suppl, current_sec)