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Source: garli
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: Andreas Tille <tille@debian.org>
Section: science
Priority: optional
Build-Depends: debhelper-compat (= 13),
libncl-dev,
mpi-default-dev,
ncl-tools,
bc
Standards-Version: 4.7.0
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
Rules-Requires-Root: no
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
Depends: ${misc:Depends}
Multi-Arch: foreign
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.
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