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[ Source: examl  ]

Package: examl (3.0.22-3 and others)

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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.

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Download for all available architectures
Architecture Version Package Size Installed Size Files
amd64 3.0.22-3+b2 928.7 kB5,930.0 kB [list of files]
arm64 3.0.22-3+b2 780.3 kB1,664.0 kB [list of files]
armel 3.0.22-3+b2 798.2 kB1,881.0 kB [list of files]
armhf 3.0.22-3+b2 785.7 kB1,513.0 kB [list of files]
i386 3.0.22-3+b2 1,087.1 kB7,008.0 kB [list of files]
mips64el 3.0.22-3+b2 815.5 kB1,812.0 kB [list of files]
mipsel 3.0.22-3+b2 828.1 kB1,934.0 kB [list of files]
ppc64el 3.0.22-3+b2 845.8 kB1,920.0 kB [list of files]
s390x 3.0.22-3+b2 816.6 kB1,996.0 kB [list of files]