Items related to Bayesian Evolutionary Analysis with BEAST

Bayesian Evolutionary Analysis with BEAST - Hardcover

Drummond, Alexei J.; Bouckaert, Remco R.

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9781107019652: Bayesian Evolutionary Analysis with BEAST
Hardcover
ISBN 10: 1107019656 ISBN 13: 9781107019652
Publisher: Cambridge University Press, 2015

Synopsis

What are the models used in phylogenetic analysis and what exactly is involved in Bayesian evolutionary analysis using Markov chain Monte Carlo (MCMC) methods? How can you choose and apply these models, which parameterisations and priors make sense, and how can you diagnose Bayesian MCMC when things go wrong? These are just a few of the questions answered in this comprehensive overview of Bayesian approaches to phylogenetics. This practical guide: • Addresses the theoretical aspects of the field • Advises on how to prepare and perform phylogenetic analysis • Helps with interpreting analyses and visualisation of phylogenies • Describes the software architecture • Helps developing BEAST 2.2 extensions to allow these models to be extended further. With an accompanying website providing example files and tutorials (http://beast2.org/), this one-stop reference to applying the latest phylogenetic models in BEAST 2 will provide essential guidance for all users – from those using phylogenetic tools, to computational biologists and Bayesian statisticians.

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About the Authors

Alexei J. Drummond is Professor of Computational Biology and Principal Investigator at the Allan Wilson Centre of Molecular Ecology and Evolution at the University of Auckland, New Zealand. He is the lead author of the BEAST software package and has gained a reputation in the field as one of the most knowledgeable experts for Bayesian evolutionary analyses.

Remco R. Bouckaert is a computer scientist with a strong background in Bayesian methods. He is the main architect of version 2 of BEAST and has been working on extensions to the BEAST software and other phylogenetics projects in Alexei Drummond's group at the University of Auckland.

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Publisher
Cambridge University Press
Publication date
2015
Language
English
ISBN 10 
1107019656
ISBN 13 
9781107019652
Binding
Hardcover
Edition number
1
Number of pages
260
Rating
  • 4.00 out of 5 stars
    6 ratings by Goodreads