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Stochastic processes in genetics and evolution : computer experiments in the quantification of mutation and selection Cover Image

E-book

Stochastic processes in genetics and evolution : computer experiments in the quantification of mutation and selection

Mode, Charles J. (Author). Sleeman, Candace K. (Added Author).

Summary: The scope of this book is the field of evolutionary genetics. The book contains new methods for simulating evolution at the genomic level. It sets out applications using up to date Monte Carlo simulation methods applied in classical population genetics, and sets out new fields of quantifying mutation and selection at the Mendelian level. A serious limitation of Wright-Fisher process, the assumption that population size is constant, motivated the introduction of self regulating branching processes in this book. While providing a short review of the principles of probability and its application.

Record details

ISBN: 9814350680
ISBN: 9789814350686
Physical Description: 1 online resource (xxviii, 666 pages) : illustrations
remote
Publisher: Hackensack, N.J. : World Scientific, 2012.

Content descriptions

Bibliography, etc. Note:	Includes bibliographical references and index.
Formatted Contents Note:	Prologue; Acknowledgments; Contents; 1. An Introduction to Mathematical Probability with Applications in Mendelian Genetics; 1.1 Introduction; 1.2 Mathematical Probability in Mendelian Genetics; 1.3 Examples of Finite Probability Spaces; Example 1.3.1: An Equal Frequency Model; Example 1.3.2: Partitions of an Abstract Set; Example 1.3.3: A Deterministic Case; Example 1.3.4: Inheritance of Eye Color and Sex; 1.4 Elementary Combinatorial Analysis; 1.5 The Binomial Distribution; Example 1.5.1: Distribution of Boys and Girls in Families of Size N.
Restrictions on Access Note:	NLC staff and students only.