Source: garli Maintainer: Debian Med Packaging Team Uploaders: Andreas Tille Section: science Priority: optional Build-Depends: debhelper (>= 11~), libncl-dev, libopenmpi-dev, ncl-tools, bc Standards-Version: 4.2.1 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}, openmpi-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} 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.