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By: Masatoshi Nei(Author), Sudhir Kumar(Author)
333 pages, illustrations, tables
Presents statistical methods that are useful in the study of molecular evolution, and illustrates how to use them in actual data analysis. It is appropriate for graduate students and researchers (assuming a basic knowledge of evolution, molecular biology, and elementary statistics), allowing many investigators to incorporate refined statistical analysis of large-scale data in their own work.
"It is worth its price"
– Plant Systematics and Evolution
1: Molecular basis of evolution
2: Evolutionary changes of amino acid sequences
3: Evolutionary changes of DNA sequences
4: Synonymous and nonsynonymous nucleotide substitutions
5: Phylogenetic trees
6: Phylogenetic inference: Distance methods
7: Phylogenetic inference: Maximum parsimony methods
8: Phylogenetic inference: Maximum likelihood methods
9: Accuracies and statistical tests of phylogenetic trees
10: Molecular clocks and linearized trees
11: Ancestral nucleotide and amino acid sequences
12: Genetic polymorphism and evolution
13: Population trees from genetic markers
A. Mathematical sumbols and notations
B. Geological timescale
C. Geological events in the Cenozoic and Meszoic eras
D. Evolution of organisms based on the fossil record
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