Journal article

RaxmlGUI 2.0: A graphical interface and toolkit for phylogenetic analyses using RAxML

  • Edler, Daniel Integrated Science Lab Department of Physics Umeå University Umeå Sweden - Gothenburg Global Biodiversity Centre Gothenburg Sweden - Department of Biological and Environmental Sciences University of Gothenburg Gothenburg Sweden
  • Klein, Johannes Gothenburg Global Biodiversity Centre Gothenburg Sweden
  • Antonelli, Alexandre Gothenburg Global Biodiversity Centre Gothenburg Sweden - Department of Biological and Environmental Sciences University of Gothenburg Gothenburg Sweden - Royal Botanic Gardens Kew Richmond UK - Department of Plant Sciences University of Oxford Oxford UK
  • Silvestro, Daniele Gothenburg Global Biodiversity Centre Gothenburg Sweden - Department of Biological and Environmental Sciences University of Gothenburg Gothenburg Sweden - Department of Biology Swiss Institute of Bioinformatics, University of Fribourg Fribourg Switzerland - Swiss Institute of Bioinformatics Fribourg Switzerland
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    17.10.2020
Published in:
  • Methods in Ecology and Evolution. - 2021, vol. 12, no. 2, p. 373-377
English raxmlGUI is a graphical user interface to RAxML, one of the most popular and widely used softwares for phylogenetic inference using maximum likelihood.Here we present raxmlGUI 2.0, a complete rewrite of the GUI which seamlessly integrates RAxML binaries for all major operating systems with an intuitive graphical front‐end to setup and run phylogenetic analyses.Our program offers automated pipelines for analyses that require multiple successive calls of RAxML, built‐in functions to concatenate alignment files while automatically specifying the appropriate partition settings, and one‐click model testing to select the best substitution models using ModelTest‐NG. In addition to RAxML 8.x, raxmlGUI 2.0 also supports the new RAxML‐NG, which provides new functionality and higher performance on large datasets.raxmlGUI 2.0 facilitates phylogenetic analyses by coupling an intuitive interface with the unmatched performance of RAxML.
Faculty
Faculté des sciences et de médecine
Department
Département de Biologie
Language
  • English
Classification
Biological sciences
License
License undefined
Identifiers
Persistent URL
https://folia.unifr.ch/unifr/documents/309160
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