MetaPIGA v3.1
:: 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
Laboratory of Artificial & Natural Evolution
:: SCREENSHOTS
:: REQUIREMENTS
- MacOsX / Linux / Windows
- Java
:: DOWNLOAD
:: 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