Overview
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.
Full Product Details
Author: Ziheng Yang (RA Fisher Professor of Statistical Genetics, RA Fisher Professor of Statistical Genetics, Department of Genetics, Evolution and Environment, University College London)
Publisher: Oxford University Press
Imprint: Oxford University Press
Dimensions:
Width: 19.00cm
, Height: 2.90cm
, Length: 24.60cm
Weight: 0.970kg
ISBN: 9780199602612
ISBN 10: 0199602611
Pages: 512
Publication Date: 15 May 2014
Audience:
College/higher education
,
Postgraduate, Research & Scholarly
Format: Paperback
Publisher's Status: Active
Availability: To order
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.
Reviews
I think Molecular Evolution: A Statistical Approach would also work very well as a text for a graduate level course in statistical phylogenetics ... The exercises at the end of each chapterwould be useful for academics anting to use the book as a course textquestions cover an interesting range of problems that would get the class both thinking and programming. * Barbara R. Holland, Systematic Biology *
I think Molecular Evolution: A Statistical Approach would also work very well as a text for a graduate level course in statistical phylogenetics ... The exercises at the end of each chapterwould be useful for academics anting to use the book as a course textquestions cover an interesting range of problems that would get the class both thinking and programming. Barbara R. Holland, Systematic Biology
Author Information
Ziheng Yang is currently RA Fisher Professor of Statistical Genetics in University College London. He obtained a Ph. D in agronomy in Beijing Agricultural University in 1992. Since then he held a few postdoctoral researcher positions in the UK and US. He joined UCL in 1997, first as a lecturer, then reader and professor. He teaches statistical genetics. He has published about 150 research papers and book chapters in molecular evolution, phylogenetics, population genetics, and computational biology. His program package paml is widely used in the molecular evolution community. He was elected a Fellow of the Royal Society in 2006.
