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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Vydané v:	PLoS computational biology Ročník 15; číslo 4; s. e1006650
Hlavní autori:	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.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Public Library of Science 08.04.2019 Public Library of Science (PLoS)
Predmet:	Bayesian analysis Biochemistry Bioinformatics Biological research Computation Computer applications Computer programming Computer programs Engineering Environmental science Evolution Evolutionary biology Gene sequencing Genomes Genomics Laboratories Markov analysis Mathematical models Molecular biology Phylogenetics Phylogeny Scientific software Software Software engineering Software industry Software packages Systematic biology Technology application Trees New Zealand United States > US Switzerland Germany
ISSN:	1553-7358, 1553-734X, 1553-7358
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