Foundations of Mathematical Genetics

Foundations of Mathematical Genetics
Author: Anthony William Fairbank Edwards
Publisher: Cambridge University Press
Total Pages: 138
Release: 2000-01-13
Genre: Science
ISBN: 9780521775441

A definitive account of the origins of modern mathematical population genetics, first published in 2000.

Mathematical Population Genetics 1

Mathematical Population Genetics 1
Author: Warren J. Ewens
Publisher: Springer Science & Business Media
Total Pages: 448
Release: 2004-01-09
Genre: Science
ISBN: 9780387201917

This is the first of a planned two-volume work discussing the mathematical aspects of population genetics with an emphasis on evolutionary theory. This volume draws heavily from the author’s 1979 classic, but it has been revised and expanded to include recent topics which follow naturally from the treatment in the earlier edition, such as the theory of molecular population genetics.

Human Population Genetics

Human Population Genetics
Author: John H. Relethford
Publisher: John Wiley & Sons
Total Pages: 326
Release: 2012-03-27
Genre: Science
ISBN: 0470464674

Introductory guide to human population genetics and microevolutionary theory Providing an introduction to mathematical population genetics, Human Population Genetics gives basic background on the mechanisms of human microevolution. This text combines mathematics, biology, and anthropology and is best suited for advanced undergraduate and graduate study. Thorough and accessible, Human Population Genetics presents concepts and methods of population genetics specific to human population study, utilizing uncomplicated mathematics like high school algebra and basic concepts of probability to explain theories central to the field. By describing changes in the frequency of genetic variants from one generation to the next, this book hones in on the mathematical basis of evolutionary theory. Human Population Genetics includes: Helpful formulae for learning ease Graphs and analogies that make basic points and relate the evolutionary process to mathematical ideas Glossary terms marked in boldface within the book the first time they appear In-text citations that act as reference points for further research Exemplary case studies Topics such as Hardy-Weinberg equilibrium, inbreeding, mutation, genetic drift, natural selection, and gene flow Human Population Genetics solidifies knowledge learned in introductory biological anthropology or biology courses and makes it applicable to genetic study. NOTE: errata for the first edition can be found at the author's website: http://employees.oneonta.edu/relethjh/HPG/errata.pdf

Mathematical and Statistical Methods for Genetic Analysis

Mathematical and Statistical Methods for Genetic Analysis
Author: Kenneth Lange
Publisher: Springer Science & Business Media
Total Pages: 376
Release: 2012-12-06
Genre: Medical
ISBN: 0387217509

Written to equip students in the mathematical siences to understand and model the epidemiological and experimental data encountered in genetics research. This second edition expands the original edition by over 100 pages and includes new material. Sprinkled throughout the chapters are many new problems.

Population Genetics and Microevolutionary Theory

Population Genetics and Microevolutionary Theory
Author: Alan R. Templeton
Publisher: John Wiley & Sons
Total Pages: 720
Release: 2006-09-29
Genre: Science
ISBN: 0470047216

The advances made possible by the development of molecular techniques have in recent years revolutionized quantitative genetics and its relevance for population genetics. Population Genetics and Microevolutionary Theory takes a modern approach to population genetics, incorporating modern molecular biology, species-level evolutionary biology, and a thorough acknowledgment of quantitative genetics as the theoretical basis for population genetics. Logically organized into three main sections on population structure and history, genotype-phenotype interactions, and selection/adaptation Extensive use of real examples to illustrate concepts Written in a clear and accessible manner and devoid of complex mathematical equations Includes the author's introduction to background material as well as a conclusion for a handy overview of the field and its modern applications Each chapter ends with a set of review questions and answers Offers helpful general references and Internet links

Evolutionary Theory

Evolutionary Theory
Author: Sean H. Rice
Publisher: Sinauer Associates Incorporated
Total Pages: 370
Release: 2004
Genre: Mathematics
ISBN: 9780878937028

Evolutionary Theory is for graduate students, researchers, and advanced undergraduates who want an understanding of the mathematical and biological reasoning that underlies evolutionary theory. The book covers all of the major theoretical approaches used to study the mechanics of evolution, including classical one- and two-locus models, diffusion theory, coalescent theory, quantitative genetics, and game theory. There are also chapters on theoretical approaches to the evolution of development and on multilevel selection theory. Each subject is illustrated by focusing on those results that have the greatest power to influence the way that we think about how evolution works. These major results are developed in detail, with many accompanying illustrations, showing exactly how they are derived and how the mathematics relates to the biological insights that they yield. In this way, the reader learns something of the actual machinery of different branches of theory while gaining a deeper understanding of the evolutionary process. Roughly half of the book focuses on gene-based models, the other half being concerned with general phenotype-based theory. Throughout, emphasis is placed on the fundamental relationships between the different branches of theory, illustrating how all of these branches are united by a few basic, universal, principles. The only mathematical background assumed is basic calculus. More advanced mathematical methods are explained, with the help of an extensive appendix, when they are needed.

Foundations of Mathematical Biology

Foundations of Mathematical Biology
Author: Robert J. Rosen
Publisher: Academic Press
Total Pages: 316
Release: 2013-10-22
Genre: Science
ISBN: 1483272133

Foundations of Mathematical Biology, Volume 1, Subcellular Systems, provides an introduction the place of mathematical biology in relation to the other biological, physical, and organizational sciences. It discusses the use of mathematical tools and techniques to solve biological problems. The book contains four chapters and begins with a discussion of the nature of hierarchical control in living matter. This is followed by a chapter on chemical kinetics and enzyme kinetics, covering the physicomathematical principles, models, and approximations underlying transition-state theory and the unimolecular reaction. Subsequent chapters deal with quantum genetics and membrane excitability.

Population Genetics

Population Genetics
Author: John H. Gillespie
Publisher: JHU Press
Total Pages: 270
Release: 2004-08-06
Genre: Medical
ISBN: 0801880084

Publisher Description

Introduction to Population Genetics

Introduction to Population Genetics
Author: Richard Halliburton
Publisher: Pearson
Total Pages: 680
Release: 2004
Genre: Juvenile Nonfiction
ISBN:

Making the theory of population genetics relevant to readers, this book explains the related mathematics with a logical organization. It presents the quantitative aspects of population genetics, and employs examples of human genetics, medical evolution, human evolution, and endangered species. For an introduction to, and understanding of, population genetics.

Coalescent Theory

Coalescent Theory
Author: John Wakely
Publisher: Roberts
Total Pages: 0
Release: 2016-04-22
Genre: Science
ISBN: 9780974707754

This textbook provides the foundation for molecular population genetics and genomics. It shows the conceptual framework for studies of DNA sequence variation within species, and is the source of essential tools for making inferences about mutation, recombination, population structure and natural selection from DNA sequence data.