dc.contributor.author | Nascimento, FF | en_US |
dc.contributor.author | Reis, MD | en_US |
dc.contributor.author | Yang, Z | en_US |
dc.date.accessioned | 2017-08-17T09:27:55Z | |
dc.date.available | 2017-07-17 | en_US |
dc.date.issued | 2017-10 | en_US |
dc.date.submitted | 2017-08-11T15:16:30.376Z | |
dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/25287 | |
dc.description.abstract | Bayesian methods have become very popular in molecular phylogenetics due to the availability of user-friendly software implementing sophisticated models of evolution. However, Bayesian phylogenetic models are complex, and analyses are often carried out using default settings, which may not be appropriate. Here, we summarize the major features of Bayesian phylogenetic inference and discuss Bayesian computation using Markov chain Monte Carlo (MCMC), the diagnosis of an MCMC run, and ways of summarising the MCMC sample. We discuss the specification of the prior, the choice of the substitution model, and partitioning of the data. Finally, we provide a list of common Bayesian phylogenetic software and provide recommendations as to their use. | en_US |
dc.format.extent | 1446 - 1454 | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Nat Ecol Evol | en_US |
dc.rights | This is a pre-copyedited, author-produced version of an article accepted for publication in Nature Ecology and Evolution following peer review. | |
dc.subject | Bayes Theorem | en_US |
dc.subject | Evolution, Molecular | en_US |
dc.subject | Markov Chains | en_US |
dc.subject | Models, Genetic | en_US |
dc.subject | Monte Carlo Method | en_US |
dc.subject | Phylogeny | en_US |
dc.subject | Software | en_US |
dc.title | A biologist's guide to Bayesian phylogenetic analysis. | en_US |
dc.type | Article | |
dc.rights.holder | © 2017 Nature Publishing Group | |
dc.identifier.doi | 10.1038/s41559-017-0280-x | en_US |
pubs.author-url | https://www.ncbi.nlm.nih.gov/pubmed/28983516 | en_US |
pubs.issue | 10 | en_US |
pubs.notes | 6 months | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 1 | en_US |