Computational Molecular Evolution pdf epub mobi txt 電子書下載2025

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

出版者:Oxford University Press

作者:Ziheng Yang

出品人:

頁數:376

译者:

出版時間:2006-12-7

價格:USD 65.00

裝幀:Paperback

isbn號碼:9780198567028

叢書系列:Oxford Series in Ecology and Evolution

圖書標籤:

Evolution
生物
分子演化
生物-計算生物學
MCMC
高級
進化
係統發生分析

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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 large genomic data sets requires powerful statistical methods to analyze 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.