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Book Cover
E-book
Author Yang, Ziheng, author.

Title Molecular evolution : a statistical approach / Ziheng Yang
Edition First edition
Published Oxford : Oxford University Press, 2014
Online access available from:
Oxford University Press owned e-books    View Resource Record  

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Description 1 online resource (xv, 492 pages) : illustrations
Contents Models of nucleotide substitution -- Models of amino acid and codon substitution -- Phylogeny reconstruction: overview -- Maximum likelihood methods -- Comparison of phylogenetic methods and tests on trees -- Bayesian theory -- Bayesian computation (MCMC) -- Bayesian phylogenetics -- Coalescent theory and species trees -- Molecular clock and estimation of species divergence times -- Neutral and adaptive protein evolution -- Simulating molecular evolution
Summary "Studies of evolution at the molecular level have experienced phenomenal growth in the last few decades, due to rapid accumulation of genetic sequence data, improved computer hardware and software, and the development of sophisticated analytical methods. The flood of genomic data has generated an acute need for powerful statistical methods and efficient computational algorithms to enable their effective analysis and interpretation. This advanced textbook is aimed at graduate level students and professional researchers (both empiricists and theoreticians) in the fields of bioinformatics and computational biology, statistical genomics, evolutionary biology, molecular systematics, and population genetics. It will also be of relevance and use to a wider audience of applied statisticians, mathematicians, and computer scientists working in computational biology."--Back cover
Bibliography Includes bibliographical references (pages 450-487) and index
Notes Print version record
Subject Molecular evolution -- Mathematical models
Molecular evolution -- Statistical methods
Phylogeny -- Molecular aspects.
SCIENCE -- Life Sciences -- Biochemistry.
Phylogeny -- Molecular aspects.
Form Electronic book
ISBN 9780191782251
0191782254
9780191023309
0191023302