BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis

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 evidenc...

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Detalles Bibliográficos
Autores principales: Bouckaert, 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-Hsi, Xie, Dong, Zhang, Chi, Stadler, Tanja, Drummond, Alexei J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472827/
https://www.ncbi.nlm.nih.gov/pubmed/30958812
http://dx.doi.org/10.1371/journal.pcbi.1006650

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472827/
https://www.ncbi.nlm.nih.gov/pubmed/30958812
http://dx.doi.org/10.1371/journal.pcbi.1006650

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