Source: macsyfinder Maintainer: Debian Med Packaging Team Uploaders: bertrand Neron Section: science Priority: optional Build-Depends: debhelper-compat (= 13), dh-python, python3, python3-setuptools, python3-sphinx, python3-networkx , python3-yaml , python3-colorlog , python3-sphinx-rtd-theme , texlive-latex-recommended, texlive-plain-generic, texlive-latex-extra, texlive-fonts-recommended, latexmk, graphviz, hmmer Standards-Version: 4.5.1 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.