zbMATH — the first resource for mathematics

Probability models for DNA sequence evolution. 2nd ed. (English) Zbl 1311.92007
Probability and its Applications. New York, NY: Springer (ISBN 978-0-387-78168-6/hbk; 978-0-387-78169-3/ebook). xii, 431 p. (2008).
Publisher’s description: How is genetic variability shaped by natural selection, demographic factors, and random genetic drift? To approach this question, we introduce and analyze a number of probability models beginning with the basics, and ending at the frontiers of current research. Throughout the book, the theory is developed in close connection with examples from the biology literature that illustrate the use of these results. Along the way, there are many numerical examples and graphs to illustrate the conclusions.
This is the second edition and is twice the size of the first one (2002: Zbl 0991.92021). The material on recombination and the stepping stone model have been greatly expanded, there are many results form the last five years, and two new chapters on diffusion processes develop that viewpoint. This book is written for mathematicians and for biologists alike. No previous knowledge of concepts from biology is assumed, and only a basic knowledge of probability, including some familiarity with Markov chains and Poisson processes. The book has been restructured into a large number of subsections and written in a theorem-proof style, to more clearly highlight the main results and allow readers to find the results they need and to skip the proofs if they desire.

92-02 Research exposition (monographs, survey articles) pertaining to biology
92D20 Protein sequences, DNA sequences
92D15 Problems related to evolution
62P10 Applications of statistics to biology and medical sciences; meta analysis
60K99 Special processes
Full Text: DOI