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. 2012 Nov 15;28(22):2989-90.
doi: 10.1093/bioinformatics/bts555. Epub 2012 Sep 12.

Phylogenetics, likelihood, evolution and complexity

A P Jason de Koning  1 , Wanjun Gu, Todd A Castoe, David D Pollock
Affiliations

Phylogenetics, likelihood, evolution and complexity

A P Jason de Koning et al. Bioinformatics. .

Abstract

Summary: Phylogenetics, likelihood, evolution and complexity (PLEX) is a flexible and fast Bayesian Markov chain Monte Carlo software program for large-scale analysis of nucleotide and amino acid data using complex evolutionary models in a phylogenetic framework. The program gains large speed improvements over standard approaches by implementing 'partial sampling of substitution histories', a data augmentation approach that can reduce data analysis times from months to minutes on large comparative datasets. A variety of nucleotide and amino acid substitution models are currently implemented, including non-reversible and site-heterogeneous mixture models. Due to efficient algorithms that scale well with data size and model complexity, PLEX can be used to make inferences from hundreds to thousands of taxa in only minutes on a desktop computer. It also performs probabilistic ancestral sequence reconstruction. Future versions will support detection of co-evolutionary interactions between sites, probabilistic tests of convergent evolution and rigorous testing of evolutionary hypotheses in a Bayesian framework.

Availability and implementation: PLEX v1.0 is licensed under GPL. Source code and documentation will be available for download at www.evolutionarygenomics.com/ProgramsData/PLEX. PLEX is implemented in C++ and supported on Linux, Mac OS X and other platforms supporting standard C++ compilers. Example data, control files, documentation and accessory Perl scripts are available from the website.

Contact: David.Pollock@UCDenver.edu.

Supplementary information: Supplementary data are available at Bioinformatics online.

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References

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