Jun 202013
 

MetaPIGA 3

:: DESCRIPTION

MetaPIGA is a robust implementation of several stochastic heuristics for large phylogeny inference (under maximum likelihood), including a random-restart hill climbing, a simulated annealing algorithm, a classical genetic algorithm, and the metapopulation genetic algorithm (metaGA) together with complex substitution models, discrete Gamma rate heterogeneity, and the possibility to partition data.

::DEVELOPER

Michel C. Milinkovitch’s lab

:: SCREENSHOTS

MetaPIGA

:: REQUIREMENTS

  • MacOsX / Linux / Windows
  • Java

:: DOWNLOAD

  MetaPIGA

:: MORE INFORMATION

Citation

MetaPIGA v2.0: maximum likelihood large phylogeny estimation using the metapopulation genetic algorithm and other stochastic heuristics
aphaël Helaers & Michel C. Milinkovitch
BMC Bioinformatics 2010, 11:379

286 views

Sorry, the comment form is closed at this time.