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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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Hämtningar för alla tillgängliga arkitekturer
Arkitektur Version Paketstorlek Installerad storlek Filer
amd64 3.0.22-6+b3 959,8 kbyte6.371,0 kbyte [filförteckning]
arm64 3.0.22-6+b3 778,9 kbyte1.665,0 kbyte [filförteckning]
armel 3.0.22-6+b2 797,6 kbyte2.046,0 kbyte [filförteckning]
armhf 3.0.22-6+b2 785,0 kbyte1.598,0 kbyte [filförteckning]
i386 3.0.22-6+b2 1.094,5 kbyte7.369,0 kbyte [filförteckning]
mips64el 3.0.22-6+b3 819,7 kbyte1.813,0 kbyte [filförteckning]
ppc64el 3.0.22-6+b3 836,8 kbyte1.793,0 kbyte [filförteckning]
riscv64 3.0.22-6+b3 835,0 kbyte1.577,0 kbyte [filförteckning]
s390x 3.0.22-6+b3 826,1 kbyte2.061,0 kbyte [filförteckning]