Molecular evolution : a statistical approach
 Responsibility
 Ziheng Yang.
 Language
 English.
 Imprint
 Oxford ; New York : Oxford University Press, 2014.
 Physical description
 xv, 492 p. : ill. ; 26 cm
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Creators/Contributors
 Author/Creator
 Yang, Ziheng.
Contents/Summary
 Bibliography
 Includes bibliographical references (pages 450487) and index.
 Contents

 1. Models of nucleotide substitution  2. Models of amino acid and codon substitution  3. Phylogeny reconstruction: overview  4. Maximum likelihood methods  5. Comparison of phylogenetic methods and tests on trees  6. Bayesian theory  7. Bayesian computation (MCMC)  8. Bayesian phylogenetics  9. Coalescent theory and species trees  10. Molecular clock and estimation of species divergence times  11. Neutral and adaptive protein evolution  12. Simulating molecular evolution  Appendixes  References.
 (source: Nielsen Book Data)
 Publisher's Summary
 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 uptodate, 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.
(source: Nielsen Book Data)
Subjects
 Subject
 Molecular evolution > Mathematical models.
Bibliographic information
 Publication date
 2014
 ISBN
 0199602603
 9780199602605