TY  - BOOK
AU  - Sætre,Glenn-Peter
AU  - Ravinet,M.
TI  - Evolutionary genetics: Concepts, analysis, and practice 
SN  - 9780191868993
U1  - 572.838 21
PY  - 2019///
CY  - New York
PB  - Oxford University Press
KW  - Evolutionary genetics
KW  - Genetik
KW  - Genom
KW  - Populationsgenetik
KW  - Genetics and Genomics,
KW  - Evolutionary Biology
KW  - Biomathematics and Statistics
N1  - 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
N2  - 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
UR  - https://academic.oup.com/book/36475
ER  -