Publication: BEAST 2.5: An Advanced Software Platform for Bayesian Evolutionary Analysis
BEAST 2.5: An Advanced Software Platform for Bayesian Evolutionary Analysis
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Bouckaert, R., Vaughan, T. G., Barido-Sottani, J., Duchêne, S., Fourment, M., Gavryushkina, A., Heled, J., Jones, G., Kühnert, D., De Maio, N., Matschiner, M., Mendes, F. K., Müller, N. F., Ogilvie, H. A., du Plessis, L., Popinga, A., Rambaut, A., Rasmussen, D., Siveroni, I., … Drummond, A. J. (2019). BEAST 2.5: An Advanced Software Platform for Bayesian Evolutionary Analysis. PLoS Computational Biology, 15(4), e1006650. https://doi.org/10.1371/journal.pcbi.1006650
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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 joi
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Creators (Authors)
- Bouckaert, Remco
- Vaughan, Timothy G
- Barido-Sottani, Joëlle
- Duchêne, Sebastián
- Fourment, Mathieu
- Gavryushkina, Alexandra
- 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-Hsi
- Xie, Dong
- Zhang, Chi
- Stadler, Tanja
- Drummond, Alexei J
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Bouckaert, R., Vaughan, T. G., Barido-Sottani, J., Duchêne, S., Fourment, M., Gavryushkina, A., Heled, J., Jones, G., Kühnert, D., De Maio, N., Matschiner, M., Mendes, F. K., Müller, N. F., Ogilvie, H. A., du Plessis, L., Popinga, A., Rambaut, A., Rasmussen, D., Siveroni, I., … Drummond, A. J. (2019). BEAST 2.5: An Advanced Software Platform for Bayesian Evolutionary Analysis. PLoS Computational Biology, 15(4), e1006650. https://doi.org/10.1371/journal.pcbi.1006650
