MetaPIGA v2.0 : maximum likelihood large phylogeny estimation using the metapopulation genetic algorithm and other stochastic heuristics

Helaers, Raphaël;Milinkovitch, Michel C
(2010) BMC Bioinformatics — Vol. 11, p. 379 (2010)

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The development, in the last decade, of stochastic heuristics implemented in robust application softwares has made large phylogeny inference a key step in most comparative studies involving molecular sequences. Still, the choice of a phylogeny inference software is often dictated by a combination of parameters not related to the raw performance of the implemented algorithm(s) but rather by practical issues such as ergonomics and/or the availability of specific functionalities.
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Helaers, R., & Milinkovitch, M. C. (2010). MetaPIGA v2.0 : maximum likelihood large phylogeny estimation using the metapopulation genetic algorithm and other stochastic heuristics. BMC Bioinformatics, 11, 379. https://hdl.handle.net/2078.5/33058 (Original work published 2010)