Computational Molecular Evolution

Computational Molecular Evolution

EnglishPaperback / softbackPrint on demand
Yang Ziheng
Oxford University Press
EAN: 9780198567028
Print on demand
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Detailed information

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 large genomic 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 for analysing 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 numerous illustrations, 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. Biologists who 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.
EAN 9780198567028
ISBN 0198567022
Binding Paperback / softback
Publisher Oxford University Press
Publication date October 5, 2006
Pages 384
Language English
Dimensions 230 x 155 x 20
Country United Kingdom
Authors Yang Ziheng
Illustrations Numerous figures and tables
Series Oxford Series in Ecology and Evolution