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
1; Morel, Benoit; Flouri, Tomas
1 Institut für Theoretische Informatik (ITI), Karlsruher Institut für Technologie (KIT)
1; Morel, Benoit; Flouri, Tomas1 Institut für Theoretische Informatik (ITI), Karlsruher Institut für Technologie (KIT)
Abstract:
ModelTest-NG is a reimplementation fromscratch 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.
| Zugehörige Institution(en) am KIT | Institut für Theoretische Informatik (ITI) |
| Publikationstyp | Zeitschriftenaufsatz |
| Publikationsmonat/-jahr | 01.2020 |
| Sprache | Englisch |
| Identifikator | ISSN: 0737-4038, 1537-1719 KITopen-ID: 1000105651 |
| Erschienen in | Molecular biology and evolution |
| Verlag | Oxford University Press (OUP) |
| Band | 37 |
| Heft | 1 |
| Seiten | 291–294 |
| Vorab online veröffentlicht am | 21.08.2019 |
| Schlagwörter | phylogenetic model selection, high-performance computing, efficient algorithms, phylogenetic inference |
| Nachgewiesen in | Web of Science Dimensions Scopus |