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

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...

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Detalles Bibliográficos
Autores principales: Darriba, Diego, Posada, David, Kozlov, Alexey M, Stamatakis, Alexandros, Morel, Benoit, Flouri, Tomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6984357/
https://www.ncbi.nlm.nih.gov/pubmed/31432070
http://dx.doi.org/10.1093/molbev/msz189
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author Darriba, Diego
Posada, David
Kozlov, Alexey M
Stamatakis, Alexandros
Morel, Benoit
Flouri, Tomas
author_facet Darriba, Diego
Posada, David
Kozlov, Alexey M
Stamatakis, Alexandros
Morel, Benoit
Flouri, Tomas
author_sort Darriba, Diego
collection PubMed
description 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.
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spelling pubmed-69843572020-01-30 ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Models Darriba, Diego Posada, David Kozlov, Alexey M Stamatakis, Alexandros Morel, Benoit Flouri, Tomas Mol Biol Evol Resources 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. Oxford University Press 2020-01 2019-08-21 /pmc/articles/PMC6984357/ /pubmed/31432070 http://dx.doi.org/10.1093/molbev/msz189 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Resources
Darriba, Diego
Posada, David
Kozlov, Alexey M
Stamatakis, Alexandros
Morel, Benoit
Flouri, Tomas
ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Models
title ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Models
title_full ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Models
title_fullStr ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Models
title_full_unstemmed ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Models
title_short ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Models
title_sort modeltest-ng: a new and scalable tool for the selection of dna and protein evolutionary models
topic Resources
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6984357/
https://www.ncbi.nlm.nih.gov/pubmed/31432070
http://dx.doi.org/10.1093/molbev/msz189
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