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Source: macsyfinder
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: bertrand Neron <bneron@pasteur.fr>
Section: science
Priority: optional
Build-Depends: debhelper-compat (= 13),
dh-python,
python3,
python3-setuptools,
python3-sphinx,
python3-networkx <!nocheck>,
python3-yaml <!nocheck>,
python3-colorlog <!nocheck>,
python3-colorama,
python3-pandas <!nocheck>,
python3-sphinx-rtd-theme <!nodoc>,
tex-gyre <!nodoc>,
texlive-latex-recommended,
texlive-plain-generic,
texlive-latex-extra,
texlive-fonts-recommended,
latexmk,
graphviz,
hmmer,
debhelper
Standards-Version: 4.6.2
Vcs-Browser: https://salsa.debian.org/med-team/macsyfinder
Vcs-Git: https://salsa.debian.org/med-team/macsyfinder.git
Homepage: https://github.com/gem-pasteur/macsyfinder
Rules-Requires-Root: no
Package: macsyfinder
Architecture: amd64 i386
Depends: ${python3:Depends},
${sphinxdoc:Depends},
${misc:Depends},
python3-networkx,
python3-yaml,
python3-colorlog,
hmmer,
ncbi-blast+,
libjs-jquery,
libjs-underscore
Built-Using: ${sphinxdoc:Built-Using}
Description: detection of macromolecular systems in protein datasets
MacSyFinder is a program to model and detect macromolecular systems,
genetic pathways... in protein datasets. In prokaryotes, these systems
have often evolutionarily conserved properties: they are made of conserved
components, and are encoded in compact loci (conserved genetic architecture).
The user models these systems with MacSyFinder to reflect these conserved
features, and to allow their efficient detection
.
This package presents the Open Source Java API to biological databases
and a series of mostly sequence-based algorithms.
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