Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7

Bayesian inference of phylogeny using Markov chain Monte Carlo (MCMC) plays a central role in understanding evolutionary history from molecular sequence data. Visualizing and analyzing the MCMC-generated samples from the posterior distribution is a key step in any non-trivial Bayesian inference. We...

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Detalles Bibliográficos
Autores principales: Rambaut, Andrew, Drummond, Alexei J, Xie, Dong, Baele, Guy, Suchard, Marc A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Software for Systematics and Evolution
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6101584/
https://www.ncbi.nlm.nih.gov/pubmed/29718447
http://dx.doi.org/10.1093/sysbio/syy032

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6101584/
https://www.ncbi.nlm.nih.gov/pubmed/29718447
http://dx.doi.org/10.1093/sysbio/syy032

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