套件：examl（3.0.22-6）
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.
其他與 examl 有關的套件
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- dep: libc6 (>= 2.38)
- GNU C 函式庫：共用函式庫
同時作為一個虛擬套件由這些套件填實： libc6-udeb
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- dep: libmpich12
- Shared libraries for MPICH
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- dep: mpi-default-bin
- Standard MPI runtime programs (metapackage)