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  BEAST 2.5: an advanced software platform for Bayesian evolutionary analysis

Bouckaert, R., Vaughan, T. G., Barido-Sottani, J., Duchêne, S., Fourment, M., Gavryushkina, A., et al. (2019). BEAST 2.5: an advanced software platform for Bayesian evolutionary analysis. PLoS Computational Biology, 15(4): e1006650. doi:10.1371/journal.pcbi.1006650.

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Bouckaert, Remco1, Autor           
Vaughan, Timothy G., Autor
Barido-Sottani, Joelle, Autor
Duchêne, Sebastián, Autor
Fourment, Mathieu, Autor
Gavryushkina, Alexandra, Autor
Heled, Joseph, Autor
Jones, Graham, Autor
Kühnert, Denise2, Autor           
De Maio, Nicola, Autor
Matschiner, Michael, Autor
Mendes, Fábio K., Autor
Müller, Nicola F., Autor
Ogilvie, Huw A., Autor
du Plessis, Louis, Autor
Popinga, Alex, Autor
Rambaut, Andrew, Autor
Rasmussen, David, Autor
Siveroni, Igor, Autor
Suchard, Marc A., Autor
Wu, Chieh-Hsi, AutorXie, Dong, AutorZhang, Chi, AutorStadler, Tanja, AutorDrummond, Alexei J., Autor mehr..
Affiliations:
1Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, Max Planck Society, ou_2074311              
2tide, Max Planck Institute for the Science of Human History, Max Planck Society, ou_2591691              

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 Zusammenfassung: 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.

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Sprache(n): eng - English
 Datum: 2019-04-08
 Publikationsstatus: Online veröffentlicht
 Seiten: 28
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1371/journal.pcbi.1006650
Anderer: shh2223
 Art des Abschluß: -

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Titel: PLoS Computational Biology
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: San Francisco, CA : Public Library of Science
Seiten: - Band / Heft: 15 (4) Artikelnummer: e1006650 Start- / Endseite: - Identifikator: ISSN: 1553-734X
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000017180_1