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.
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This book covers all the major components of modern evolutionary genetics including population genetics, molecular evolution, speciation, organismal evolution, and phylogenetics.
1: The foundations of evolutionary genetics 2: Genomes and the origin of genetic variation 3: Changes in allele and genotype frequency 4: The theory of natural selection 5: The power of natural selection 6: Multilocus evolution 7: Inferring evolutionary processes from DNA sequence data 8: Genetics and genomics of speciation 9: Reconstructing the past 10: Sequencing the genome and beyond
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With the main text at under 300 pages, and precise yet accessible writing and figures that are both aesthetic and informative, this book would be an excellent resource for any broad evolutionary genetics course and a handy reference to keep on the shelf, ready to share with curious students.
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Describes the key concepts and analyses for handling evolutionary genetic data Adopts a hands-on, practical approach in tackling key challenges of summarising, interpreting and visualising evolutionary genetic data Practical R sessions centre on concepts introduced in the textbook using genetic data from real populations as well as simulation exercises with important evolutionary models Encourages a strong foundation in basic programming skills and places an emphasis on bioinformatics training for evolutionary biologists
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Glenn-Peter Sætre is Professor in Evolutionary Biology at the University of Oslo, Norway. He is fascinated by the roles that speciation, adaptation, and behaviour play in the evolution of life on Earth. He received a PhD in evolutionary biology from the University of Oslo in 1993. Since then he has worked primarily on evolution, speciation, and sexual selection in birds, including flycatchers and Passer sparrows. Mark Ravinet is an evolutionary biologist working with genomic and bioinformatics tools to understand speciation, adaptation, and evolution. He obtained his PhD in evolutionary biology and population genetics from Queen's University Belfast, UK. Since completing his PhD, he has gained postdoctoral experience in speciation and evolutionary genomics in Sweden, Japan, and now Norway. His research involves a wide array of different taxa including stickleback fishes, Littorina marine snails, bedbugs and Passer sparrows.
Les mer
Describes the key concepts and analyses for handling evolutionary genetic data Adopts a hands-on, practical approach in tackling key challenges of summarising, interpreting and visualising evolutionary genetic data Practical R sessions centre on concepts introduced in the textbook using genetic data from real populations as well as simulation exercises with important evolutionary models Encourages a strong foundation in basic programming skills and places an emphasis on bioinformatics training for evolutionary biologists
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Produktdetaljer

ISBN
9780198830924
Publisert
2019
Utgiver
Vendor
Oxford University Press
Vekt
738 gr
Høyde
246 mm
Bredde
289 mm
Dybde
15 mm
Aldersnivå
U, 05
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
336

Biographical note

Glenn-Peter Sætre is Professor in Evolutionary Biology at the University of Oslo, Norway. He is fascinated by the roles that speciation, adaptation, and behaviour play in the evolution of life on Earth. He received a PhD in evolutionary biology from the University of Oslo in 1993. Since then he has worked primarily on evolution, speciation, and sexual selection in birds, including flycatchers and Passer sparrows. Mark Ravinet is an evolutionary biologist working with genomic and bioinformatics tools to understand speciation, adaptation, and evolution. He obtained his PhD in evolutionary biology and population genetics from Queen's University Belfast, UK. Since completing his PhD, he has gained postdoctoral experience in speciation and evolutionary genomics in Sweden, Japan, and now Norway. His research involves a wide array of different taxa including stickleback fishes, Littorina marine snails, bedbugs and Passer sparrows.