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Source: python-cogent
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: Steffen Moeller <moeller@debian.org>,
Andreas Tille <tille@debian.org>
Section: python
Testsuite: autopkgtest-pkg-python
Priority: optional
Build-Depends: debhelper (>= 11~),
dh-python,
python-all-dev,
python-matplotlib,
python-numpy,
python-setuptools,
python3-sphinx,
cython,
blast2,
bwa [any-amd64],
cd-hit,
cdbfasta,
clearcut,
clustalw,
dialign,
fasttree,
infernal [any-amd64 any-i386],
mafft,
mothur [!s390x],
muscle,
parsinsert,
raxml [any-amd64 any-i386],
rdp-classifier,
rtax
Standards-Version: 4.3.0
Vcs-Browser: https://salsa.debian.org/med-team/python-cogent
Vcs-Git: https://salsa.debian.org/med-team/python-cogent.git
Homepage: http://pycogent.org/
Package: python-cogent
Architecture: any
Depends: ${shlibs:Depends},
${misc:Depends},
${python:Depends},
python-matplotlib
Recommends: blast2,
bwa [any-amd64],
cd-hit,
clearcut,
dialign,
muscle
Suggests: python-cogent-doc,
cdbfasta,
clustalw,
fasttree,
infernal [any-amd64 any-i386],
mafft,
mothur [!s390x],
parsinsert,
raxml [any-amd64 any-i386],
rdp-classifier,
rtax
Description: framework for genomic biology
PyCogent is a software library for genomic biology. It is a fully
integrated and thoroughly tested framework for:
* controlling third-party applications,
* devising workflows; querying databases,
* conducting novel probabilistic analyses of biological sequence
evolution, and
* generating publication quality graphics.
It is distinguished by many unique built-in capabilities (such as true codon
alignment) and the frequent addition of entirely new methods for the analysis
of genomic data.
Package: python-cogent-doc
Architecture: all
Section: doc
Depends: ${misc:Depends},
libjs-jquery,
libjs-underscore
Suggests: python-cogent (= ${binary:Version})
Description: docs for python-cogent
PyCogent is a software library for genomic biology.
.
It is distinguished by many unique built-in capabilities (such as true codon
alignment) and the frequent addition of entirely new methods for the analysis
of genomic data.
.
This package contains documentation and examples.
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