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Central Library - Vidyasagar University

“Education does not only mean learning, reading, writing, and arithmetic,

it should provide a comprehensive knowledge”

-Ishwarchandra Vidyasagar


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Evolutionary genetics: Concepts, analysis, and practice / Glenn-Peter Sætre and Mark Ravinet. [electronic resource]

By: Sætre, Glenn-Peter [author].
Contributor(s): Ravinet, M. (Mark) [author].
Material type: TextTextPublisher: New York : Oxford University Press, 2019Edition: First edition.Description: e-book contains 310 pages.ISBN: 9780191868993.Subject(s): Evolutionary genetics | Evolutionary genetics | Genetik | Genom | Populationsgenetik | Genetics and Genomics | Evolutionary Biology | Biomathematics and StatisticsDDC classification: 572.838 Online resources: https://academic.oup.com/book/36475 Click here
Contents:
Contents Front Matter Copyright Page Dedication Preface Acknowledgments Expand1 The foundations of evolutionary genetics View chapter Expand2 Genomes and the origin of genetic variation View chapter Expand3 Changes in allele and genotype frequency View chapter Expand4 The theory of natural selection View chapter Expand5 The power of natural selection View chapter Expand6 Multilocus evolution View chapter Expand7 Inferring evolutionary processes from DNA sequence data View chapter Expand8 Genetics and genomics of speciation View chapter Expand9 Reconstructing the past View chapter Expand10 Sequencing the genome and beyond View chapter End Matter Glossary References Index
Abstract: Abstract Evolutionary genetics is the study of how genetic variation leads to evolutionary change. With the recent explosion in the availability of whole genome sequence data, vast quantities of genetic data are being generated at an ever-increasing pace with the result that programming has become an essential tool for researchers. Most importantly, a thorough understanding of evolutionary principles is essential for making sense of this genetic data. This up-to-date textbook covers all the major components of modern evolutionary genetics, carefully explaining fundamental processes such as mutation, natural selection, genetic drift, and speciation, together with their consequences. In addition to the text, study questions are provided to motivate the reader to think and reflect on the concepts in each chapter. Practical experience is essential when it comes to developing an understanding of how to use genetic data to analyze and address interesting questions in the life sciences and how to interpret results in meaningful ways. Throughout the book, a series of online, computer-based tutorials serves as an introduction to programming and analysis of evolutionary genetic data centered on the R programming language, which stands out as an ideal all-purpose 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 introduce readers to the plethora of molecular and analytical methods that have only recently become available.
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E-Book E-Book WWW
Non-fiction 572.838 SAE/E (Browse shelf) Available EB762

Includes bibliographical references and indexes.

Contents
Front Matter
Copyright Page
Dedication
Preface
Acknowledgments
Expand1 The foundations of evolutionary genetics
View chapter
Expand2 Genomes and the origin of genetic variation
View chapter
Expand3 Changes in allele and genotype frequency
View chapter
Expand4 The theory of natural selection
View chapter
Expand5 The power of natural selection
View chapter
Expand6 Multilocus evolution
View chapter
Expand7 Inferring evolutionary processes from DNA sequence data
View chapter
Expand8 Genetics and genomics of speciation
View chapter
Expand9 Reconstructing the past
View chapter
Expand10 Sequencing the genome and beyond
View chapter
End Matter
Glossary
References
Index

Abstract
Evolutionary genetics is the study of how genetic variation leads to evolutionary change. With the recent explosion in the availability of whole genome sequence data, vast quantities of genetic data are being generated at an ever-increasing pace with the result that programming has become an essential tool for researchers. Most importantly, a thorough understanding of evolutionary principles is essential for making sense of this genetic data. This up-to-date textbook covers all the major components of modern evolutionary genetics, carefully explaining fundamental processes such as mutation, natural selection, genetic drift, and speciation, together with their consequences. In addition to the text, study questions are provided to motivate the reader to think and reflect on the concepts in each chapter. Practical experience is essential when it comes to developing an understanding of how to use genetic data to analyze and address interesting questions in the life sciences and how to interpret results in meaningful ways. Throughout the book, a series of online, computer-based tutorials serves as an introduction to programming and analysis of evolutionary genetic data centered on the R programming language, which stands out as an ideal all-purpose 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 introduce readers to the plethora of molecular and analytical methods that have only recently become available.

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