Darriba, D;
Posada, D;
Kozlov, AM;
Stamatakis, A;
Morel, B;
Flouri, T;
(2020)
ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Models.
Molecular Biology and Evolution
, 37
(1)
pp. 291-294.
10.1093/molbev/msz189.
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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.
| Type: | Article |
|---|---|
| Title: | ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Models |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1093/molbev/msz189 |
| Publisher version: | https://doi.org/10.1093/molbev/msz189 |
| Language: | English |
| Additional information: | 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. Supplementary data |
| Keywords: | Phylogenetic model selection, high-performance computing, efficient algorithms, phylogenetic inference |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10091282 |
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