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BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis

PLoS Computational Biology · 2019 · Vol. 15(4) · pp. e1006650–e1006650
Remco BouckaertTimothy G. VaughanJoëlle Barido‐SottaniSebastián DuchêneMathieu FourmentAlexandra GavryushkinaJoseph HeledGraham JonesDenise KühnertNicola De MaioMichael MatschinerFábio K. MendesNicola F. MüllerHuw A. OgilvieLouis du PlessisAlex PopingaAndrew RambautDavid A. RasmussenIgor SiveroniMarc A. SuchardChieh‐Hsi WuDong XieChi ZhangTanja StadlerAlexei J. Drummond

Abstract

Elaboration of Bayesian phylogenetic inference methods has continued at pace in recent years with major new advances in nearly all aspects of the joint modelling of evolutionary data. It is increasingly appreciated that some evolutionary questions can only be adequately answered by combining evidence from multiple independent sources of data, including genome sequences, sampling dates, phenotypic data, radiocarbon dates, fossil occurrences, and biogeographic range information among others. Including all relevant data into a single joint model is very challenging both conceptually and computationally. Advanced computational software packages that allow robust development of compatible (sub-)models which can be composed into a full model hierarchy have played a key role in these developments. Developing such software frameworks is increasingly a major scientific activity in its own right, and comes with specific challenges, from practical software design, development and engineering challenges to statistical and conceptual modelling challenges. BEAST 2 is one such computational software platform, and was first announced over 4 years ago. Here we describe a series of major new developments in the BEAST 2 core platform and model hierarchy that have occurred since the first release of the software, culminating in the recent 2.5 release.

Genomics and Phylogenetic StudiesEvolution and Paleontology StudiesGenetic diversity and population structureComputer scienceSoftwareData scienceHierarchyBayesian probabilityInferenceSoftware developmentPaceData miningArtificial intelligence

MeSH terms

AnimalsBayes TheoremComputer SimulationBiological EvolutionHumansMarkov ChainsModels, GeneticMonte Carlo MethodPhylogenySoftwareEvolution, MolecularComputational Biology

Funding

  • National Science Foundation
  • European Commission
  • Royal Society Te Apārangi
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
  • Max-Planck-Gesellschaft
  • National Institutes of Health
  • Marsden Fund
Citations
4,560
FWCI
177.14
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References
140
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100%
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References
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BEAST 2: A Software Platform for Bayesian Evolutionary Analysis
PLoS Computational Biology · 2014 · 6,896 citations
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PLoS Computational Biology · 2009 · 1,888 citations
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PLoS Biology · 2006 · 6,538 citations
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BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis · Scinovex