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Molecular Evolution - A Statistical Approach | Oxford Scholarship Online
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Molecular Evolution: A Statistical Approach

Ziheng Yang

Abstract

This book summarizes the statistical models and computational algorithms for comparative analysis of genetic sequence data in the fields of molecular evolution, molecular phylogenetics, and statistical phylogeography. The book presents and explains the models of nucleotide, amino acid, and codon substitution, and their use in calculating pairwise sequence distances and in reconstruction of phylogenetic trees. All major methods for phylogeny reconstruction are covered in detail, including neighbour joining, maximum parsimony, maximum likelihood, and Bayesian methods. Using motivating examples, ... More

Keywords: molecular evolution, phylogenetics, statistical phylogeography, computational biology, Markov chain Monte Carlo, MCMC, molecular clock, parsimony, maximum likelihood, Bayesian computation

Bibliographic Information

Print publication date: 2014 Print ISBN-13: 9780199602605
Published to Oxford Scholarship Online: August 2014 DOI:10.1093/acprof:oso/9780199602605.001.0001

Authors

Affiliations are at time of print publication.

Ziheng Yang, author
RA Fisher Professor of Statistical Genetics, Department of Genetics, Evolution and Environment, University College London