Molecular Evolution
A Statistical Approach
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Product details:
- Publisher OUP Oxford
- Date of Publication 15 May 2014
- ISBN 9780199602605
- Binding Hardback
- No. of pages512 pages
- Size 248x195x35 mm
- Weight 1146 g
- Language English 0
Categories
Short description:
The book focuses on molecular evolution and phylogenetics, dealing with the statistical methods of data analysis implemented in commonly-used computer software.
MoreLong description:
Studies of evolution at the molecular level have experienced phenomenal growth in the last few decades, due to rapid accumulation of genetic sequence data, improved computer hardware and software, and the development of sophisticated analytical methods. The flood of genomic data has generated an acute need for powerful statistical methods and efficient computational algorithms to enable their effective analysis and interpretation.
Molecular Evolution: a statistical approach presents and explains modern statistical methods and computational algorithms for the comparative analysis of genetic sequence data in the fields of molecular evolution, molecular phylogenetics, statistical phylogeography, and comparative genomics. Written by an expert in the field, the book emphasizes conceptual understanding rather than mathematical proofs. The text is enlivened with numerous examples of real data analysis and numerical calculations to illustrate the theory, in addition to the working problems at the end of each chapter. The coverage of maximum likelihood and Bayesian methods are in particular up-to-date, comprehensive, and authoritative.
This advanced textbook is aimed at graduate level students and professional researchers (both empiricists and theoreticians) in the fields of bioinformatics and computational biology, statistical genomics, evolutionary biology, molecular systematics, and population genetics. It will also be of relevance and use to a wider audience of applied statisticians, mathematicians, and computer scientists working in computational biology.
Molecular Evolution: A Statistical Approach is a significant update of Ziheng Yangs previous book Computational Molecular Evolution, which was published in 2006 ... Yang has produced a book that could be readand enjoyed by different audiences for different purposes. I think that the book will be welcomed by biologists who want some mathematical intuition for whats underneath the hood of the methods they rely on. Yang has made a serious effort to keep the book understandable to non-mathematicians, and as a result the book does not feel overly mathematical or dense with notation despite the fact that it covers a lot of mathematical terrain.
Table of Contents:
Models of nucleotide substitution
Models of amino acid and codon substitution
Phylogeny reconstruction: overview
Maximum likelihood methods
Comparison of phylogenetic methods and tests on trees
Bayesian theory
Bayesian computation (MCMC)
Bayesian phylogenetics
Coalescent theory and species trees
Molecular clock and estimation of species divergence times
Neutral and adaptive protein evolution
Simulating molecular evolution
Appendixes
References
