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Paketti: examl (3.0.22-5 ja muut)

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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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Imurointi kaikille saataville arkkitehtuureille
Arkkitehtuuri Versio Paketin koko Koko asennettuna Tiedostot
amd64 3.0.22-5+b1 938.7 kt6,026.0 kt [tiedostoluettelo]
arm64 3.0.22-5+b1 778.7 kt1,664.0 kt [tiedostoluettelo]
armel 3.0.22-5+b1 799.1 kt1,873.0 kt [tiedostoluettelo]
armhf 3.0.22-5+b1 785.9 kt1,513.0 kt [tiedostoluettelo]
i386 3.0.22-5+b1 1,079.1 kt7,044.0 kt [tiedostoluettelo]
mips64el 3.0.22-5+b1 817.2 kt1,812.0 kt [tiedostoluettelo]
ppc64el 3.0.22-5+b1 837.2 kt1,792.0 kt [tiedostoluettelo]
riscv64 3.0.22-5+b1 835.2 kt1,576.0 kt [tiedostoluettelo]
s390x 3.0.22-5+b1 825.9 kt2,060.0 kt [tiedostoluettelo]