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＜電子ブック＞
Probability Models for DNA Sequence Evolution / by Rick Durrett
(Probability and Its Applications)

版	1st ed. 2002.
出版者	(New York, NY : Springer New York : Imprint: Springer)
出版年	2002
本文言語	英語
大きさ	VIII, 241 p : online resource
著者標目	*Durrett, Rick author SpringerLink (Online service)
件　名	LCSH:Probabilities LCSH:Biometry LCSH:Biomathematics FREE:Probability Theory FREE:Biostatistics FREE:Mathematical and Computational Biology
一般注記	1 Basic Models -- 2 Neutral Complications -- 3 Natural Selection -- 4 Statistical Tests -- 5 Genome Rearrangement -- References 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. 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. Rick Durrett received his Ph.D. in operations research from Stanford University in 1976. He taught in the UCLA mathematics department before coming to Cornell in 1985. He is the author of eight books and 160 research papers, most of which concern the use of probability models in genetics and ecology. He is the academic father of 39 Ph.D. students and was recently elected to the National Academy of Science. HTTP:URL=https://doi.org/10.1007/978-1-4757-6285-3

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