Fr. 136.90

Computational Molecular Evolution

English · Paperback / Softback

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Zusatztext 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. Informationen zum Autor Ziheng Yang is Professor of Statistical Genetics at the Department of Biology, University College London Klappentext This book 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. Zusammenfassung This book 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. Inhaltsverzeichnis 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

Product details

Authors YANG, Ziheng Yang
Publisher Oxford University Press
 
Languages English
Product format Paperback / Softback
Released 05.10.2006
 
EAN 9780198567028
ISBN 978-0-19-856702-8
No. of pages 374
Dimensions 158 mm x 235 mm x 20 mm
Series Oxford Series in Ecology and Evolution
Oxford Series in Ecology and Evolution
Subjects Natural sciences, medicine, IT, technology > Biology

Biochemie, Epidemiologie und medizinische Statistik, Genetik (nicht-medizinisch), Chemie / Biochemie, Taxonomie und Systematik

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