Computational Molecular Evolution

Paperback | November 5, 2006

byZiheng Yang

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The field of molecular evolution has experienced explosive growth in recent years due to the rapid accumulation of genetic sequence data, continuous improvements to computer hardware and software, and the development of sophisticated analytical methods. The increasing availability of largegenomic data sets requires powerful statistical methods to analyse and interpret them, generating both computational and conceptual challenges for the field.Computational Molecular Evolution provides an up-to-date and comprehensive coverage of modern statistical and computational methods used in molecular evolutionary analysis, such as maximum likelihood and Bayesian statistics. Yang describes the models, methods and algorithms that are most useful foranalysing the ever-increasing supply of molecular sequence data, with a view to furthering our understanding of the evolution of genes and genomes. The book emphasizes essential concepts rather than mathematical proofs. It includes detailed derivations and implementation details, as well as numerousillustrations, worked examples, and exercises. It will be of relevance and use to students and professional researchers (both empiricists and theoreticians) in the fields of molecular phylogenetics, evolutionary biology, population genetics, mathematics, statistics and computer science. Biologistswho have used phylogenetic software programs to analyze their own data will find the book particularly rewarding, although it should appeal to anyone seeking an authoritative overview of this exciting area of computational biology.

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The field of molecular evolution has experienced explosive growth in recent years due to the rapid accumulation of genetic sequence data, continuous improvements to computer hardware and software, and the development of sophisticated analytical methods. The increasing availability of largegenomic data sets requires powerful statistical...

Ziheng Yang is Professor of Statistical Genetics at the Department of Biology at University College London.

other books by Ziheng Yang

Molecular Evolution: A Statistical Approach
Molecular Evolution: A Statistical Approach

Paperback|May 22 2014

$77.09 online$87.95list price(save 12%)
Format:PaperbackDimensions:376 pages, 9.21 × 6.14 × 0.79 inPublished:November 5, 2006Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0198567022

ISBN - 13:9780198567028

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Table of Contents

Preface1. Models of Nucleotide Substitution2. Models of Amino Acid and Codon Substitution3. Phylogeny Reconstruction: Overview4. Maximum Likelihood Methods5. Bayesian Methods6. Comparison of Methods and Tests on Trees7. Molecular Clock and Estimation of Species Divergence Times8. Neutral and Adaptive Protein Evolution9. Simulating Molecular Evolution10. PerspectivesAppendixesReference