Maintainer: Debian Med Packaging Team <firstname.lastname@example.org>
Uploaders: Andreas Tille <email@example.com>
Build-Depends: debhelper (>= 11~),
Architecture: amd64 i386 kfreebsd-i386 kfreebsd-amd64 hurd-i386
Description: Exascale Maximum Likelihood (ExaML) code for phylogenetic inference
Exascale Maximum Likelihood (ExaML) is a code for phylogenetic inference
using MPI. This code implements the popular RAxML search algorithm for
maximum likelihood based inference of phylogenetic trees.
ExaML is a strapped-down light-weight version of RAxML for phylogenetic
inference on huge datasets. It can only execute some very basic
functions and is intended for computer-savvy users that can write little
perl-scripts and have experience using queue submission scripts for
clusters. ExaML only implements the CAT and GAMMA models of rate
heterogeneity for binary, DNA, and protein data.
ExaML uses a radically new MPI parallelization approach that yields
improved parallel efficiency, in particular on partitioned multi-gene or
whole-genome datasets. It also implements a new load balancing algorithm
that yields better parallel efficiency.
It is up to 4 times faster than its predecessor RAxML-Light and scales
to a larger number of processors.