Source: garli
Standards-Version: 4.7.4
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders:
 Andreas Tille <tille@debian.org>,
Section: science
Build-Depends:
 debhelper-compat (= 13),
 libncl-dev,
 mpi-default-dev,
 ncl-tools,
 bc,
Vcs-Browser: https://salsa.debian.org/med-team/garli
Vcs-Git: https://salsa.debian.org/med-team/garli.git
Homepage: https://github.com/Ashod/garli

Package: garli
Architecture: any
Depends:
 ${shlibs:Depends},
 ${misc:Depends},
Description: phylogenetic analysis of molecular sequence data using maximum-likelihood
 GARLI, Genetic Algorithm for Rapid Likelihood Inference is a program for
 inferring phylogenetic trees. Using an approach similar to a classical
 genetic algorithm, it rapidly searches the space of evolutionary trees
 and model parameters to find the solution maximizing the likelihood
 score. It implements nucleotide, amino acid and codon-based models of
 sequence evolution, and runs on all platforms. The latest version adds
 support for partitioned models and morphology-like datatypes.

Package: garli-mpi
Architecture: any
Depends:
 ${shlibs:Depends},
 ${misc:Depends},
 mpi-default-bin,
Description: phylogenetic analysis of molecular sequence data using maximum-likelihood (MPI)
 GARLI, Genetic Algorithm for Rapid Likelihood Inference is a program for
 inferring phylogenetic trees. Using an approach similar to a classical
 genetic algorithm, it rapidly searches the space of evolutionary trees
 and model parameters to find the solution maximizing the likelihood
 score. It implements nucleotide, amino acid and codon-based models of
 sequence evolution, and runs on all platforms. The latest version adds
 support for partitioned models and morphology-like datatypes.
 .
 This version of Garli is using MPI.

Package: garli-examples
Architecture: all
Multi-Arch: foreign
Depends:
 ${misc:Depends},
Description: phylogenetic analysis of molecular sequence data (examples)
 GARLI, Genetic Algorithm for Rapid Likelihood Inference is a program for
 inferring phylogenetic trees. Using an approach similar to a classical
 genetic algorithm, it rapidly searches the space of evolutionary trees
 and model parameters to find the solution maximizing the likelihood
 score. It implements nucleotide, amino acid and codon-based models of
 sequence evolution, and runs on all platforms. The latest version adds
 support for partitioned models and morphology-like datatypes.
 .
 This package contains example data for garli.