Forward-Time Population Genetics Simulations (Paperback)

Bo Peng

ISBN 10: 0470503483 / ISBN 13: 9780470503485

Edité par John Wiley and Sons Ltd, Hoboken, 2012

Paperback. The only book available in the area of forward-time population genetics simulationsapplicable to both biomedical and evolutionary studies 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 modelswith 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. The rapid increase of the power of personal computers has led to the use of serious simulation programs such as easy POP in genetic studies. This book summarizes recent advances in forward-time simulation methods and demonstrates their applications in population genetics and genetic epidemiology. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780470503485

Synopsis :

The only book available in the area of forward-time population genetics simulations--applicable to both biomedical and evolutionary studies

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.

À propos de l'auteur: Bo Peng, PHD, is an assistant professor in the Department of Genetics at The University of Texas MD Anderson Cancer Center. With his degrees in applied mathematics and biostatistics, he is applying advanced computational techniques such as parallel computation and large-scale simulations to research topics in population genetics, genetic epidemiology, and bioinformatics.

Marek Kimmel, PHD, is Director of the Doctoral Program in Bioinformatics and Statistical Genetics and head of the Bioinformatics Group at Rice University. He holds joint appointments as Professor of Statistics at Rice University, Professor of Biostatistics and Applied Mathematics at MD Anderson Cancer Center, and Professor of Biometry at The University of Texas School of Public Health.

Christopher I. Amos, PHD, is a professor in the Department of Genetics at The University of Texas MD Anderson Cancer Center. He also holds adjunct appointments at Rice University and in the Department of Epidemiology at The University of Texas School of Public Health.

Détails bibliographiques

Titre : Forward-Time Population Genetics Simulations...
Éditeur : John Wiley and Sons Ltd, Hoboken
Date d'édition : 2012
Reliure : Paperback
Etat : new
Edition : Edition originale