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# Bioconvert is a project to facilitate the interconversion #
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"""Convert :term:`BAM` file to :term:`TSV` format"""
import os
import colorlog
from bioconvert import ConvBase
from bioconvert.core.decorators import requires
logger = colorlog.getLogger(__name__)
[docs]class BAM2TSV(ConvBase):
"""Convert sorted :term:`BAM` file into :term:`TSV` stats
This is not a conversion per se but the extraction of BAM
statistics saved into a TSV format. The 4 columns of the TSV file
are::
Reference sequence name, Sequence length,Mapped reads, Unmapped reads
Methods are based on samtools [SAMTOOLS]_ and pysam [PYSAM]_.
"""
#: Default value
_default_method = "samtools"
def __init__(self, infile, outfile, *args, **kargs):
""".. rubric:: constructor
:param str infile: BAM file
:param str outfile: TSV file
Methods are based on samtools [SAMTOOLS]_ and pysam [PYSAM]_.
"""
super(BAM2TSV, self).__init__(infile, outfile, *args, **kargs)
[docs] @requires(python_library="pysam", external_binary="samtools")
def _method_pysam(self, *args, **kwargs):
"""We use here the python module Pysam.
`Pysam documentation <https://pysam.readthedocs.io/en/latest/api.html>`_"""
import pysam
# index the bam file
pysam.index(self.infile)
# create count table
with open(self.outfile, "wt") as out:
out.write("Reference sequence name\tSequence length\t" "Mapped reads\tUnmapped reads{}".format(os.linesep))
for line in pysam.idxstats(self.infile):
out.write(line)