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Package: examl (3.0.20-1)

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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

  • depends
  • recommends
  • suggests
  • dep: libc6 (>= 2.14) [amd64]
    GNU C Library: Shared libraries
    also a virtual package provided by libc6-udeb
    dep: libc6 (>= 2.4) [i386]
  • dep: libgomp1 (>= 4.9)
    GCC OpenMP (GOMP) support library
  • dep: libopenmpi2
    high performance message passing library -- shared library
  • dep: openmpi-bin
    high performance message passing library -- binaries

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Download for all available architectures
Architecture Package Size Installed Size Files
amd64 907.6 kB2644 kB [list of files]
i386 864.3 kB2568 kB [list of files]