SMS: Smart Model Selection in PhyML

Vincent Lefort 1, 2 Jean-Emmanuel Longueville 1, 2 Olivier Gascuel 1, 2
1 MAB - Méthodes et Algorithmes pour la Bioinformatique
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Model selection using likelihood-based criteria (e.g., AIC) is one of the first steps in phylogenetic analysis. One must select both a substitution matrix and a model for rates across sites. A simple method is to test all combinations and select the best one. We describe heuristics to avoid these extensive calculations. Runtime is divided by $2 with results remaining nearly the same, and the method performs well compared with ProtTest and jModelTest2. Our software, "Smart Model Selection" (SMS), is implemented in the PhyML environment and available using two interfaces: command-line (to be integrated in pipelines) and a web server (
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Vincent Lefort, Jean-Emmanuel Longueville, Olivier Gascuel. SMS: Smart Model Selection in PhyML. Molecular Biology and Evolution, Oxford University Press (OUP), 2017, 34 (9), pp.2422-2424. ⟨10.1093/molbev/msx149⟩. ⟨lirmm-01794206⟩



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