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Stochastic processes in genetics and...

Sleeman, Candace K.

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Stochastic processes in genetics and evolution/ Charles J. Mode, Candace K. Sleeman.
Reminder of title:	computer experiments in the quantification of mutation and selection /
Author:	Mode, Charles J.
other author:	Sleeman, Candace K.
Published:	Hackensack, N.J. :World Scientific, : 2012.,
Description:	1 online resource (xxviii, 666 p.) :ill.
[NT 15003449]:	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.
Subject:	Genetics - Mathematical models. -
Online resource:	http://www.worldscientific.com/worldscibooks/10.1142/8159#t=toc
ISBN:	9789814350686 (electronic bk.)

Stochastic processes in genetics and evolution = computer experiments in the quantification of mutation and selection /
Mode, Charles J.

Stochastic processes in genetics and evolutioncomputer experiments in the quantification of mutation and selection /[electronic resource] :Charles J. Mode, Candace K. Sleeman. - Hackensack, N.J. :World Scientific,2012. - 1 online resource (xxviii, 666 p.) :ill.

Includes bibliographical references and index.

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.

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.

ISBN: 9789814350686 (electronic bk.)Subjects--Topical Terms:

712863
Genetics
--Mathematical models.

LC Class. No.: QH438.4.M3 / M63 2012

Dewey Class. No.: 519.7

Stochastic processes in genetics and evolution = computer experiments in the quantification of mutation and selection /
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020 $a 9789814350686 (electronic bk.)
020 $a 9814350680 (electronic bk.)
020 $a 9789814397070 (electronic bk.)
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020 $z 9789814350679
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050 4 $a QH438.4.M3 $b M63 2012
082 0 4 $a 519.7
100 1 $a Mode, Charles J. $3 2089751
245 1 0 $a Stochastic processes in genetics and evolution $h [electronic resource] : $b computer experiments in the quantification of mutation and selection / $c Charles J. Mode, Candace K. Sleeman.
260 $a Hackensack, N.J. : $b World Scientific, $c 2012.
300 $a 1 online resource (xxviii, 666 p.) : $b ill.
504 $a Includes bibliographical references and index.
505 0 $a 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.
520 $a 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.
650 0 $a Genetics $x Mathematical models. $3 712863
650 0 $a Evolution (Biology) $x Mathematical models. $3 651611
650 0 $a Stochastic processes. $3 520663
700 1 $a Sleeman, Candace K. $3 2089752
856 4 0 $u http://www.worldscientific.com/worldscibooks/10.1142/8159#t=toc