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Source: python-pyvcf
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: Andreas Tille <tille@debian.org>
Section: python
Priority: optional
Build-Depends: debhelper (>= 10),
dh-python,
cython,
python-dev,
python-setuptools,
cython3,
python3-all-dev,
python3-setuptools
Standards-Version: 3.9.8
Vcs-Browser: https://anonscm.debian.org/cgit/debian-med/python-pyvcf.git
Vcs-Git: https://anonscm.debian.org/git/debian-med/python-pyvcf.git
Homepage: https://pypi.python.org/pypi/PyVCF
Package: python-pyvcf
Architecture: any
Depends: ${shlibs:Depends},
${misc:Depends},
${python:Depends}
Description: Variant Call Format (VCF) parser for Python
The Variant Call Format (VCF) specifies the format of a text file used
in bioinformatics for storing gene sequence variations. The format has
been developed with the advent of large-scale genotyping and DNA
sequencing projects, such as the 1000 Genomes Project.
.
The intent of this module is to mimic the ``csv`` module in the Python
stdlib, as opposed to more flexible serialization formats like JSON or
YAML. ``vcf`` will attempt to parse the content of each record based on
the data types specified in the meta-information lines -- specifically
the ##INFO and
##FORMAT lines. If these lines are missing or incomplete, it will check
against the reserved types mentioned in the spec. Failing that, it will
just return strings.
.
This package provides the Python 2 modules.
Package: python3-pyvcf
Architecture: any
Depends: ${shlibs:Depends},
${misc:Depends},
${python3:Depends}
Description: Variant Call Format (VCF) parser for Python 3
The Variant Call Format (VCF) specifies the format of a text file used
in bioinformatics for storing gene sequence variations. The format has
been developed with the advent of large-scale genotyping and DNA
sequencing projects, such as the 1000 Genomes Project.
.
The intent of this module is to mimic the ``csv`` module in the Python
stdlib, as opposed to more flexible serialization formats like JSON or
YAML. ``vcf`` will attempt to parse the content of each record based on
the data types specified in the meta-information lines -- specifically
the ##INFO and
##FORMAT lines. If these lines are missing or incomplete, it will check
against the reserved types mentioned in the spec. Failing that, it will
just return strings.
.
This package provides the Python 3 modules.
Package: pyvcf
Architecture: all
Depends: ${misc:Depends},
${python3:Depends},
python3-pyvcf
Description: helper scripts for Variant Call Format (VCF) parser
The Variant Call Format (VCF) specifies the format of a text file used
in bioinformatics for storing gene sequence variations. The format has
been developed with the advent of large-scale genotyping and DNA
sequencing projects, such as the 1000 Genomes Project.
.
The intent of this module is to mimic the ``csv`` module in the Python
stdlib, as opposed to more flexible serialization formats like JSON or
YAML. ``vcf`` will attempt to parse the content of each record based on
the data types specified in the meta-information lines -- specifically
the ##INFO and
##FORMAT lines. If these lines are missing or incomplete, it will check
against the reserved types mentioned in the spec. Failing that, it will
just return strings.
.
This package provides helper scripts using python3-pyvcf.
Package: python-pyvcf-examples
Architecture: all
Depends: ${misc:Depends}
Suggests: python3-pyvcf | python-pyvcf
Description: Example data for Variant Call Format (VCF) parser for Python
The Variant Call Format (VCF) specifies the format of a text file used
in bioinformatics for storing gene sequence variations. The format has
been developed with the advent of large-scale genotyping and DNA
sequencing projects, such as the 1000 Genomes Project.
.
The intent of this module is to mimic the ``csv`` module in the Python
stdlib, as opposed to more flexible serialization formats like JSON or
YAML. ``vcf`` will attempt to parse the content of each record based on
the data types specified in the meta-information lines -- specifically
the ##INFO and
##FORMAT lines. If these lines are missing or incomplete, it will check
against the reserved types mentioned in the spec. Failing that, it will
just return strings.
.
This package provides example data to test the Python modules.
|
