Computational Molecular Evolution (Oxford Series in Ecology and Evolution) | 
 enlarge | Author: Ziheng Yang
Publisher: Oxford University Press, USA
Category: Book
List Price: $65.00
Buy New: $49.10
You Save: $15.90 (24%)
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Rating:  1 reviews
Sales Rank: 102058
Media: Paperback
Pages: 376
Number Of Items: 1
Shipping Weight (lbs): 1.2
Dimensions (in): 9.1 x 6.1 x 0.9
ISBN: 0198567022
Dewey Decimal Number: 572.838015118
EAN: 9780198567028
Publication Date: December 7, 2006
Availability: Usually ships in 1-2 business days
Condition: Brand new just arrived from publisher - ships with tracking #
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Product Description
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.
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| Customer Reviews:
A useful review of statistical work in the area September 15, 2007
DataGuru (DC)
4 out of 9 found this review helpful
I bought a copy of this book with high expectation that I will learn something new in this area. I was disappointed in that it essentially covers all the statistical techniques, with little account on the biological background and genetic evolution contexts. While I admire the author's skill and sophistication in his facility with modern statistical methods, particularly Bayesian computational tools. I think, however, the statistics-sophisticated readers should be better served by other books, such as Wen-Hsiung Li's two books on Molecular EvolutionFundamentals of Molecular Evolution, Molecular Evolution. Anyway, this book may be written for biologists, and for experimentalists, for whom this book should be an excellent and elegant written book. But for people with adequate mathematical background, I recommend other books which have more dicussions on the biological motivations and experimental facts.
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