An Introduction to Population Genetics

Theory and Applications

Author: Rasmus Nielsen

Publisher: Sinauer Associates Incorporated

ISBN:

Category: Science

Page: 287

View: 459

"A text for a one-semester course in population genetics. It introduces students to classical population genetics (in terms of allele and haplotype frequencies) and modern population genetics (in terms of coalescent theory). It presents numerous applications of population genetic methods to practical problems, including testing for natural selection, detecting genetic hitchhiking and inferring the history of populations"--Provided by publisher.

An Introduction to Population Genetics Theory

Author: James F. Crow

Publisher:

ISBN:

Category: Mathematics

Page: 591

View: 525

Originally published in 1970, this classic in the field of population genetics opens with elementary concepts and deals primarily with natural populations and less fully with the rather similar problems that arise in breeding livestock and cultivated plants.

Introduction to Population Genetics

Author: Richard Halliburton

Publisher: Benjamin-Cummings Publishing Company

ISBN:

Category: Science

Page: 650

View: 232

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.

An Introduction to Genetic Algorithms

Author: Melanie Mitchell

Publisher: MIT Press

ISBN:

Category: Computers

Page: 209

View: 714

Genetic algorithms are used in science and engineering for problem solving and as computational models. This brief introduction enables readers to implement and experiment with genetic algorithms on their own. The descriptions of applications and modeling projects stretch beyond the boundaries of computer science to include systems theory, game theory, biology, ecology, and population genetics. 20 illustrations.

An Introduction to Genetic Epidemiology

Author: Lyle J. Palmer

Publisher: Policy Press

ISBN:

Category: Medical

Page: 230

View: 620

Genetic epidemiology is a field that has acquired a central role in modern biomedical science. This book provides an introduction to genetic epidemiology that begins with a primer in human molecular genetics and then examines the standard methods in population genetics and genetic epidemiology

An Introduction to Population Genetics , Theory and Applications

Biology, Genetics

Author: CTI Reviews

Publisher: Cram101 Textbook Reviews

ISBN:

Category: Education

Page: 24

View: 528

Facts101 is your complete guide to An Introduction to Population Genetics , Theory and Applications. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

Introduction to Theoretical Population Genetics

Author: Thomas Nagylaki

Publisher: Springer Science & Business Media

ISBN:

Category: Science

Page: 369

View: 326

This book covers those areas of theoretical population genetics that can be investigated rigorously by elementary mathematical methods. I have tried to formulate the various models fairly generally and to state the biological as sumptions quite explicitly. I hope the choice and treatment of topics will en able the reader to understand and evaluate detailed analyses of many specific models and applications in the literature. Models in population genetics are highly idealized, often even over idealized, and their connection with observation is frequently remote. Further more, it is not practicable to measure the parameters and variables in these models with high accuracy. These regrettable circumstances amply justify the use of appropriate, lucid, and rigorous approximations in the analysis of our models, and such approximations are often illuminating even when exact solu tions are available. However, our empirical and theoretical limitations justify neither opaque, incomplete formulations nor unconvincing, inadequate analy ses, for these may produce uninterpretable, misleading, or erroneous results. Intuition is a principal source of ideas for the construction and investigation of models, but it can replace neither clear formulation nor careful analysis. Fisher (1930; 1958, pp. x, 23-24, 38) not only espoused similar ideas, but he recognized also that our concepts of intuition and rigor must evolve in time. The book is neither a review of the literature nor a compendium of results. The material is almost entirely self-contained. The first eight chapters are a thoroughly revised and greatly extended version of my published lecture notes (Nagylaki, 1977a).