Source: simka
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: Shayan Doust <hello@shayandoust.me>
Section: science
Priority: optional
Build-Depends: debhelper-compat (= 13),
               cmake,
               libgatbcore-dev,
               zlib1g-dev,
               libhdf5-dev,
               libboost-dev,
               python3-all,
               dh-python,
               chrpath
Standards-Version: 4.5.1
Vcs-Browser: https://salsa.debian.org/med-team/simka
Vcs-Git: https://salsa.debian.org/med-team/simka.git
Homepage: https://github.com/GATB/simka
Rules-Requires-Root: no

Package: simka
Architecture: amd64 arm64 i386 ppc64el s390x hppa ia64 ppc64 riscv64 sparc64
Depends: ${shlibs:Depends},
         ${misc:Depends},
Description: comparative metagenomics method dedicated to NGS datasets
 Simka is a de novo comparative metagenomics tool. Simka represents each
 dataset as a k-mer spectrum and compute several classical ecological
 distances between them.

Package: simkamin
Architecture: all
Depends: ${python3:Depends},
         ${misc:Depends},
         python3
Description: approximate comparative metagenomics method dedicated to NGS datasets
 Simka is a de novo comparative metagenomics tool. Simka represents each
 dataset as a k-mer spectrum and compute several classical ecological
 distances between them.
 .
 The difference with Simka stands in the fact that SimkaMin outputs
 approximate (but very similar) results by subsampling the kmer space.
 With this strategy, and with default parameters, SimkaMin is an order
 of magnitude faster, uses 10 times less memory and 70 times less disk
 than Simka.