title: Phylogenetics, likelihood, evolution and complexity.
abstract: CONCLUSIONS
  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.
  
  
  METHODS
  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.
  
  
  BACKGROUND
  David.Pollock@UCDenver.edu.
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Department of Biochemistry and Molecular Genetics, School of Medicine, University of Colorado, Aurora, CO 80045, USA.
authors.forename: A P Jason
authors.initials: AP
authors.lastname: de Koning
authors.forename: Wanjun
authors.initials: W
authors.lastname: Gu
authors.forename: Todd A
authors.initials: TA
authors.lastname: Castoe
authors.forename: David D
authors.initials: DD
authors.lastname: Pollock
mesh_terms: D000465:Algorithms; D000818:Animals; D001499:Bayes Theorem; D005075:Biological Evolution; D008390:Markov Chains; D009010:Monte Carlo Method; D010802:Phylogeny; D011336:Probability; D012984:Software