Computational Molecular Evolution

Author:   Ziheng Yang (Department of Biology, University College London)
Publisher:   Oxford University Press
ISBN:  

9780198567028


Pages:   384
Publication Date:   05 October 2006
Format:   Paperback
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

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Computational Molecular Evolution


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Full Product Details

Author:   Ziheng Yang (Department of Biology, University College London)
Publisher:   Oxford University Press
Imprint:   Oxford University Press
Dimensions:   Width: 15.50cm , Height: 2.00cm , Length: 23.00cm
Weight:   0.639kg
ISBN:  

9780198567028


ISBN 10:   0198567022
Pages:   384
Publication Date:   05 October 2006
Audience:   College/higher education ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

Preface 1: Models of Nucleotide Substitution 2: Models of Amino Acid and Codon Substitution 3: Phylogeny Reconstruction: Overview 4: Maximum Likelihood Methods 5: Bayesian Methods 6: Comparison of Methods and Tests on Trees 7: Molecular Clock and Estimation of Species Divergence Times 8: Neutral and Adaptive Protein Evolution 9: Simulating Molecular Evolution 10: Perspectives Appendixes Reference

Reviews

What sets this books 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 an invaluable resource both for new graduate students and established researchers. It will be a major source for insight and enormously helpful for anyone who wants to understand molecular phylogenies. The Quarterly Review of Biology


Author Information

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

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