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ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Models

Molecular Biology and Evolution · 2019 · Vol. 37(1) · pp. 291–294
Diego DarribaDavid PosadaAlexey M. KozlovAlexandros StamatakisBenoît MorelTomáš Flouri

Abstract

ModelTest-NG is a reimplementation from scratch of jModelTest and ProtTest, two popular tools for selecting the best-fit nucleotide and amino acid substitution models, respectively. ModelTest-NG is one to two orders of magnitude faster than jModelTest and ProtTest but equally accurate and introduces several new features, such as ascertainment bias correction, mixture, and free-rate models, or the automatic processing of single partitions. ModelTest-NG is available under a GNU GPL3 license at https://github.com/ddarriba/modeltest , last accessed September 2, 2019.

Genomics and Phylogenetic StudiesRNA and protein synthesis mechanismsMachine Learning in BioinformaticsBiologyScalabilitySubstitution (logic)Selection (genetic algorithm)Protein evolutionComputational biologyScratchGeneticsComputer scienceArtificial intelligence

MeSH terms

Genetic TechniquesModels, GeneticSoftwareEvolution, MolecularAmino Acid Substitution

Funding

  • Deutsche Forschungsgemeinschaft
  • Ministerio de Economía y Competitividad
  • Klaus Tschira Stiftung
  • Xunta de Galicia
Citations
2,052
FWCI
60.39
field-weighted impact
References
26
Percentile
100%
vs. same field & year
Citations per year
References
MODELTEST: testing the model of DNA substitution.
Bioinformatics · 1998 · 20,063 citations
jModelTest: Phylogenetic Model Averaging
Molecular Biology and Evolution · 2008 · 10,523 citations
A new look at the statistical model identification
IEEE Transactions on Automatic Control · 1974 · 49,965 citations
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Amino acid substitution matrices from protein blocks.
Proceedings of the National Academy of Sciences · 1992 · 6,351 citations
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