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Molecular Evolution and Phylogenetics
출판사 : Oxford University Press
저 자 : Masatoshi Nei, Sudhir Kumar
ISBN : 9780195135855
발행일 : 예) 2006-0
도서종류 : 외국도서
발행언어 : 영어
페이지수 : 333
판매가격 : 34,000원
판매여부 : 재고확인요망
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   Molecular Evolution and Phylogenetics 목차
Table of Contents
Numerical Examples
1 Molecular Basis of Evolution 3
2 Evolutionary Change of Amino Acid Sequences 17
3 Evolutionary Change of DNA Sequences 33
4 Synonymous and Nonsynonymous Nucleotide Substitutions 51
5 Phylogenetic Trees 73
6 Phylogenetic Inference: Distance Methods 87
7 Phylogenetic Inference: Maximum Parsimony Methods 115
8 Phylogenetic Inference: Maximum Likelihood Methods 147
9 Accuracies and Statistical Tests of Phylogenetic Trees 165
10 Molecular Clocks and Linearized Trees 187
11 Ancestral Nucleotide and Amino Acid Sequences 207
12 Genetic Polymorphism and Evolution 231
13 Population Trees from Genetic Markers 265
14 Perspectives 291
App. A Mathematical Symbols and Notations 297
App. B Geological Timescale 299
App. C Geological Events in the Cenozoic and Mesozoic Eras 301
App. D Organismal Evolution Based on the Fossil Record 303
References 305
Index 329
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From the Publisher

During the last ten years, remarkable progress has occurred in the study of molecular evolution. Among the most important factors that are responsible for this progress are the development of new statistical methods and advances in computational technology. In particular, phylogenetic analysis of DNA or protein sequences has become a powerful tool for studying molecular evolution. Along with this developing technology, the application of the new statistical and computational methods has become more complicated and there is no comprehensive volume that treats these methods in depth. Molecular Evolution and Phylogenetics fills this gap and present various statistical methods that are easily accessible to general biologists as well as biochemists, bioinformatists and graduate students. The text covers measurement of sequence divergence, construction of phylogenetic trees, statistical tests for detection of positive Darwinian selection, inference of ancestral amino acid sequences, construction of linearized trees, and analysis of allele frequency data. Emphasis is given to practical methods of data analysis, and methods can be learned by working through numerical examples using the computer program MEGA2 that is provided.

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