Alexei J. Drummond (University of Auckland), Remco R. Bouckaert (University of Auckland)

Bayesian Evolutionary Analysis with BEAST

• Gebundenes Buch

Produktbeschreibung

A comprehensive overview of Bayesian approaches to phylogenetics using Markov chain Monte Carlo (MCMC) methods, offering theoretical insight, pragmatic advice and tools to develop further models. This title is a one-stop reference to applying the latest phylogenetic models in BEAST 2, interpreting the analyses and extending these models further.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 260
• Erscheinungstermin: 6. August 2015
• Englisch
• Abmessung: 254mm x 182mm x 20mm
• Gewicht: 682g
• ISBN-13: 9781107019652
• ISBN-10: 1107019656
• Artikelnr.: 42070423

Autorenporträt

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.

Inhaltsangabe

Preface
Acknowledgements
Part I. Theory: 1. Introduction
2. Evolutionary trees
3. Substitution and site models
4. The molecular clock
5. Structured trees and phylogeography
Part II. Practice: 6. Bayesian evolutionary analysis by sampling trees
7. Setting up and running a phylogenetic analysis
8. Estimating species trees from multilocus data
9. Advanced analysis
10. Posterior analysis and post-processing
11. Exploring phylogenetic tree space
Part III. Programming: 12. Getting started with BEAST
13. BEAST XML
14. Coding and design patterns
15. Putting it all together
Bibliography
List of authors
List of subjects.