SMS: Smart Model Selection in PhyML
Centre National de la Recherche Scientifique · Université de Montpellier · +2 more institutions
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 (http://www.atgc-montpellier.fr/phyml-sms/).
Citation impact
- FWCI
- 81.63
- Percentile
- 100%
- References
- 8
Authors
3- VLVincent Lefort
Centre National de la Recherche Scientifique, Université de Montpellier, Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier
- JLJean-Emmanuel Longueville
Centre National de la Recherche Scientifique, Université de Montpellier, Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier
- OGOlivier GascuelCorresponding
Centre National de la Recherche Scientifique, Institut Pasteur, Université de Montpellier, Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier
Topics & keywords
- Biology
- Heuristics
- Selection (genetic algorithm)
- Software
- Model selection
- Simple (philosophy)
- Computer science
- Substitution (logic)
- Industry, innovation and infrastructure