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SMS: Smart Model Selection in PhyML

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  • معلومة اضافية
    • Contributors:
      Méthodes et Algorithmes pour la Bioinformatique (MAB); Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM); Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS); Institut de Biologie Computationnelle (IBC); Institut National de la Recherche Agronomique (INRA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS); Bioinformatique évolutive - Evolutionary Bioinformatics; Institut Pasteur Paris (IP)-Centre National de la Recherche Scientifique (CNRS)
    • بيانات النشر:
      HAL CCSD
      Oxford University Press (OUP)
    • الموضوع:
      2017
    • Collection:
      Université de Montpellier: HAL
    • نبذة مختصرة :
      International audience ; 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/).
    • Relation:
      lirmm-01794206; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01794206; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01794206/document; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01794206/file/msx149.pdf
    • الرقم المعرف:
      10.1093/molbev/msx149
    • Rights:
      http://creativecommons.org/licenses/by-nc/ ; info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.BED6FECD