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Computational Molecular Evolution (Oxford Series in Ecology and Evolution), by Ziheng 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 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.
- Sales Rank: #2814294 in eBooks
- Published on: 2006-10-05
- Released on: 2006-10-05
- Format: Kindle eBook
Review
"What sets this book apart is the authority and thoughtfulness with which it is written, the thorough coverage of the relevant literature, and the great care that has been taken in the computational examples to compare different methods on the same set of data, and to present the results clearly. It will be a major source for insight and enormously helpful for anyone who wants to understand molecular phylogenies." -- The Quarterly Review of Biology, Vol. 83
About the Author
Ziheng Yang is Professor of Statistical Genetics at the Department of Biology, University College London
Most helpful customer reviews
0 of 0 people found the following review helpful.
Really good book
By Jeronimo Sainz
I start working with it and it has satisfied my expectations, its a really simple and complete book. Im completely happy
2 of 2 people found the following review helpful.
Excellent yet dense!
By Addie A. Evans
This book is written eloquently, although it is quite dense. I could only read a few pages at a time and then go back to introductory material to learn about all the concepts he referred to in a few sentences.
But that is just because I am a beginner. For anyone who is already very knowledge about the preliminary material, this book is an excellent compilation of advanced methods for computational molecular evolution.
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