Package: examl (3.0.22-1 and others)
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- Homepage [github.com]
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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.
Other Packages Related to examl
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- dep: libc6 (>= 2.29)
- GNU C Library: Shared libraries
also a virtual package provided by libc6-udeb
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- dep: libopenmpi3 (>= 4.1.0)
- high performance message passing library -- shared library
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- dep: openmpi-bin
- high performance message passing library -- binaries
Download examl
Architecture | Version | Package Size | Installed Size | Files |
---|---|---|---|---|
armel | 3.0.22-1+b4 | 797.5 kB | 1,873.0 kB | [list of files] |