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dc.contributor.authorBouckaert, Remco
Vaughan, Timothy G.
Barido-Sottani, Joëlle
Duchêne, Sebastián
Fourment, Mathieu
Gavryushkina, Alexandra
Heled, Joseph
Jones, Graham
Kühnert, Denise
De Maio, Nicola
Matschiner, Michael
Mendes, Fábio K.
Müller, Nicola F.
Ogilvie, Huw A.
du Plessis, Louis
Popinga, Alex
Rambaut, Andrew
Rasmussen, David
Siveroni, Igor
Suchard, Marc A.
Wu, Chieh-His
Xie, Dong
Zhang, Chi
Stadler, Tanja
Drummond, Alexei J.
dc.date.accessioned 2021-12-17T20:08:22Z
dc.date.available 2021-12-17T20:08:22Z
dc.date.issued 2019
dc.identifier.citation Bouckaert, Remco, Vaughan, Timothy G., Barido-Sottani, Joëlle, et al.. "BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis." PLoS Computational Biology, 15, no. 4 (2019) Public Library of Science: https://doi.org/10.1371/journal.pcbi.1006650.
dc.identifier.urihttps://hdl.handle.net/1911/111878
dc.description.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.
dc.language.iso eng
dc.publisher Public Library of Science
dc.rights This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.title BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis
dc.type Journal article
dc.citation.journalTitle PLoS Computational Biology
dc.citation.volumeNumber 15
dc.citation.issueNumber 4
dc.identifier.digital document-2
dc.type.dcmi Text
dc.identifier.doihttps://doi.org/10.1371/journal.pcbi.1006650
dc.type.publication publisher version
dc.citation.articleNumber e1006650


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