The rapid increase of the power of personal computers has led to the use of serious forward-time simulation programs in genetic studies. Forward-Time Population Genetics Simulations presents both new and commonly used methods, and introduces simuPOP, a powerful and flexible new program that can be used to simulate arbitrary evolutionary processes with unique features like customized chromosome types, arbitrary nonrandom mating schemes, virtual subpopulations, information fields, and Python operators.

The book begins with an overview of important concepts and models, then goes on to show how simuPOP can simulate a number of standard population genetics models—with the goal of demonstrating the impact of genetic factors such as mutation, selection, and recombination on standard Wright-Fisher models. The rest of the book is devoted to applications of forward-time simulations in various research topics.

Forward-Time Population Genetics Simulations includes:

An overview of currently available forward-time simulation methods, their advantages, and shortcomings
An overview and evaluation of currently available software
A simuPOP tutorial
Applications in population genetics
Applications in genetic epidemiology, statistical genetics, and mapping complex human diseases

The only book of its kind in the field today, Forward-Time Population Genetics Simulations will appeal to researchers and students of population and statistical genetics.

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Yes, you can access Forward-Time Population Genetics Simulations by Bo Peng, Marek Kimmel, Christopher I. Amos in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Genetics & Genomics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Wiley-Blackwell

Year

2012

ISBN

9781118180341

Edition

Topic

Biological Sciences

Subtopic

Genetics & Genomics

Index

Biological Sciences

Cover
Title Page
Copyright
Preface
Acknowledgments
List of Examples
Chapter 1: Basic Concepts and Models
Chapter 2: Simulation of Population Genetics Models
Chapter 3: Ascertainment Bias in Population Genetics
Chapter 4: Observing Properties of Evolving Populations
Chapter 5: Simulating Populations with Complex Human Diseases
Chapter 6: Nonrandom Mating and its Applications
Appendix: Forward-Time Simulations Using SimuPOP
Index