Basic Concepts in Population, Quantitative, and Evolutionary Genetics PDF Download

Author: James Franklin Crow
Publisher: W H Freeman & Company
ISBN: 9780716717607
Category : Évolution
Languages : en
Pages : 273

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Author: James G. Crow
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Author: Armando Caballero
Publisher: Cambridge University Press
ISBN: 1108481418
Category : Mathematics
Languages : en
Pages : 343

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An up-to-date, accessible guide to the main concepts and applications of quantitative genetics.

Author: John H. Gillespie
Publisher: JHU Press
ISBN: 9781421401706
Category : Science
Languages : en
Pages : 240

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Book Description
This concise introduction offers students and researchers an overview of the discipline that connects genetics and evolution. Addressing the theories behind population genetics and relevant empirical evidence, John Gillespie discusses genetic drift, natural selection, nonrandom mating, quantitative genetics, and the evolutionary advantage of sex. First published to wide acclaim in 1998, this brilliant primer has been updated to include new sections on molecular evolution, genetic drift, genetic load, the stationary distribution, and two-locus dynamics. This book is indispensable for students working in a laboratory setting or studying free-ranging populations.

Author: Alan R. Templeton
Publisher: John Wiley & Sons
ISBN: 0470047216
Category : Science
Languages : en
Pages : 720

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Book Description
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

Author: Lawrence E. Mettler
Publisher: Benjamin-Cummings Publishing Company
ISBN:
Category : Medical
Languages : en
Pages : 342

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Book Description
Self-contained and reader-friendly, this volume provides a balanced blend of evolutionary theory, population genetics, and systematics with an emphasis on the experimental approach.

Author: Glenn-Peter Sætre
Publisher:
ISBN: 0198830912
Category : Mathematics
Languages : en
Pages : 327

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Book Description
With recent technological advances, vast quantities of genetic and genomic data are being generated at an ever-increasing pace. The explosion in access to data has transformed the field of evolutionary genetics. A thorough understanding of evolutionary principles is essential for making sense of this, but new skill sets are also needed to handle and analyze big data. This contemporary textbook covers all the major components of modern evolutionary genetics, carefully explaining fundamental processes such as mutation, natural selection, genetic drift, and speciation. It also draws on a rich literature of exciting and inspiring examples to demonstrate the diversity of evolutionary research, including an emphasis on how evolution and selection has shaped our own species. Practical experience is essential for developing an understanding of how to use genetic and genomic data to analyze and interpret results in meaningful ways. In addition to the main text, a series of online tutorials using the R language serves as an introduction to programming, statistics, and analysis. Indeed the R environment stands out as an ideal all-purpose source platform to handle and analyze such data. The book and its online materials take full advantage of the authors' own experience in working in a post-genomic revolution world, and introduces readers to the plethora of molecular and analytical methods that have only recently become available. Evolutionary Genetics is an advanced but accessible textbook aimed principally at students of various levels (from undergraduate to postgraduate) but also for researchers looking for an updated introduction to modern evolutionary biology and genetics.

Author: Torbjörn Säll
Publisher: John Wiley & Sons
ISBN: 1119124034
Category : Science
Languages : en
Pages : 290

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Book Description
An inspiring introduction to a vital scientific field. The reader is taken through ten mathematical derivations that lead to important results, explaining in a hands-on manner the key concepts and methods of theoretical population genetics. The derivations are carefully worked out and easy to follow. Particular attention is given to the underlying assumptions and the mathematics used. The results are discussed and broadened out with relevant current implications. All topics feature questions with helpful answers. The book is intended for the reader who already knows some population genetics but requires a more comprehensive understanding. It is particularly suited to those who analyse genetic data and wish to better grasp what their results actually mean. It will also be helpful for those who wish to understand how population genetics contributes to the explanation of evolution. Or as the writers claim: If one wants to understand life – in all its improbable and amazing richness – one must start by understanding population genetics.

Author: John H. Relethford
Publisher: John Wiley & Sons
ISBN: 0470464674
Category : Science
Languages : en
Pages : 326

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Book Description
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

Author: Glenn-Peter Sætre
Publisher: Oxford University Press
ISBN: 0192566652
Category : Science
Languages : en
Pages : 352

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Book Description
With recent technological advances, vast quantities of genetic and genomic data are being generated at an ever-increasing pace. The explosion in access to data has transformed the field of evolutionary genetics. A thorough understanding of evolutionary principles is essential for making sense of this, but new skill sets are also needed to handle and analyze big data. This contemporary textbook covers all the major components of modern evolutionary genetics, carefully explaining fundamental processes such as mutation, natural selection, genetic drift, and speciation. It also draws on a rich literature of exciting and inspiring examples to demonstrate the diversity of evolutionary research, including an emphasis on how evolution and selection has shaped our own species. Practical experience is essential for developing an understanding of how to use genetic and genomic data to analyze and interpret results in meaningful ways. In addition to the main text, a series of online tutorials using the R language serves as an introduction to programming, statistics, and analysis. Indeed the R environment stands out as an ideal all-purpose source platform to handle and analyze such data. The book and its online materials take full advantage of the authors' own experience in working in a post-genomic revolution world, and introduces readers to the plethora of molecular and analytical methods that have only recently become available. Evolutionary Genetics is an advanced but accessible textbook aimed principally at students of various levels (from undergraduate to postgraduate) but also for researchers looking for an updated introduction to modern evolutionary biology and genetics.