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

Forward-Time Population Genetics Simulations: Methods, Implementation, and Applications

Computers & Technology

Kimmel, Marek

Peng, Bo

Amos, Christopher I.

Computer Science

Wiley/Blackwell

This book introduces biological examples of Branching Processes from molecular and cellular biology as well as from the fields of human evolution and medicine and discusses them in the context of the relevant mathematics. It provides a useful introduction to how the modeling can be done and for what types of problems branching processes can be used.

Branching Processes in Biology (Interdisciplinary Applied Mathematics)

Axelrod, David E.

Springer

This book provides a theoretical background of branching processes and discusses their biological applications. Branching processes are a well-developed and powerful set of tools in the field of applied probability. The range of applications considered includes molecular biology, cellular biology, human evolution and medicine. The branching processes discussed include Galton-Watson, Markov, Bellman-Harris, Multitype, and General Processes. As an aid to understanding specific examples, two introductory chapters, and two glossaries are included that provide background material in mathematics and in biology. The book will be of interest to scientists who work in quantitative modeling of biological systems, particularly probabilists, mathematical biologists, biostatisticians, cell biologists, molecular biologists, and bioinformaticians. The authors are a mathematician and cell biologist who have collaborated for more than a decade in the field of branching processes in biology for this new edition.This second expanded edition adds new material published during the last decade, with nearly 200 new references. More material has been added on infinitely-dimensional multitype processes, including the infinitely-dimensional linear-fractional case. Hypergeometric function treatment of the special case of the Griffiths-Pakes infinite allele branching process has also been added. There are additional applications of recent molecular processes and connections with systems biology are explored, and a new chapter on genealogies of branching processes and their applications.Reviews of First Edition:"This is a significant book on applications of branching processes in biology, and it is highly recommended for those readers who are interested in the application and development of stochastic models, particularly those with interests in cellular and molecular biology." (Siam Review, Vol. 45 (2), 2003)“This book will be very interesting and useful for mathematicians, statisticians and biologists as well, and especially for researchers developing mathematical methods in biology, medicine and other natural sciences.” (Short Book Reviews of the ISI, Vol. 23 (2), 2003)

Branching Processes in Biology (Interdisciplinary Applied Mathematics, 19)

This textbook presents mathematical models in bioinformatics and describes biological problems that inspire the computer science tools used to manage the enormous data sets involved. The first part of the book covers mathematical and computational methods, with practical applications presented in the second part. The mathematical presentation avoids unnecessary formalism, while remaining clear and precise. The book closes with a thorough bibliography, reaching from classic research results to very recent findings. This volume is suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on mathematical and computer science background.

Bioinformatics

Polanski, Andrzej

This textbook presents mathematical models in bioinformatics and describes biological problems that inspire the computing tools used to manage the enormous data sets involved. The first part of the book covers mathematical and computational methods, with practical applications presented in the second.

This authored monograph presents a mathematical description of the time evolution of neutral genomic regions in terms of the differential Lyapunov equation. The qualitative behavior of its solutions, with respect to different mutation models and demographic patterns, can be characterized using operator semi group theory.
Mutation and drift are two of the main genetic forces, which act on genes of individuals in populations. Their effects are influenced by population dynamics. This book covers the application to two mutation models: single step mutation for microsatellite loci and single-base substitutions. The effects of demographic change to the asymptotic of the distribution are also covered. The target audience primarily covers researchers and experts in the field but the book may also be beneficial for graduate students.

An Operator Semigroup in Mathematical Genetics (SpringerBriefs in Applied Sciences and Technology)

Science & Math

Bobrowski, Adam

Biological Sciences

This is a collection of refereed papers presented at the 4th International Conference on Mathematical Population Dynamics. The selection of papers and their organization were made by the following persons: O Arino, D Axelrod, V Capasso, W Fitzgibbon, P Jagers, M Kimmel, D Kirschner, C Mode, B Novak, R Sachs, W Stephan, A Swierniak and H Thieme.It features some of the new trends in cell and human population dynamics. The main link between the two traits is that human populations of concern here are essentially those subject to cell diseases, either the processes of anarchic proliferation or those by which some cell lines are killed by an infectious agent.The volume is divided into 3 main parts. Each part is subdivided into chapters, each chapter concentrating on a specific aspect. Each aspect is illustrated by one or several examples, developed in sections contributed by several authors. A detailed introduction for each part will enable the reader to refer to chapters of interest. An index and a bibliography for each part is also included for easy reference.This book will be useful for those interested in the subject matter.

Advances in Mathematical Population Dynamics: Molecules, Cells and Man : 23-27 May 1995 (Series in Mathematical Biology and Medicine, Vol 6)

International Conference on Mathematical Population Dynamics 1995 hou

Capasso, V.

World Scientific Pub Co Inc

See the best price to sell, buy, or rent books by Kimmel, Marek. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Kimmel, Marek

See the best price to sell, buy, or rent books by Kimmel, Marek. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Forward-Time Population Genetics Simulations: Methods, Implementation, and Applications

Branching Processes in Biology (Interdisciplinary Applied Mathematics)

Branching Processes in Biology (Interdisciplinary Applied Mathematics, 19)

Branching Processes in Biology (Interdisciplinary Applied Mathematics, 19)

Bioinformatics

Bioinformatics

An Operator Semigroup in Mathematical Genetics (SpringerBriefs in Applied Sciences and Technology)

Advances in Mathematical Population Dynamics: Molecules, Cells and Man : 23-27 May 1995 (Series in Mathematical Biology and Medicine, Vol 6)