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A biologist's guide to Bayesian phylogenetic analysis

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 sum...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41559-017-0280-x

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author
Publisher:
Nature Publishing Group Publisher's website
Journal:
Nature Ecology and Evolution Journal website
Volume:
1
Issue:
2017
Pages:
1446-1454
Publication date:
2017-09-21
Acceptance date:
2017-07-17
DOI:
ISSN:
2397-334X
Source identifiers:
809763
Pubs id:
pubs:809763
UUID:
uuid:3681d271-ddd3-4051-a749-cccf7a7bcb44
Local pid:
pubs:809763
Deposit date:
2017-12-07

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