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| 003 | IN-MiVU | ||
| 005 | 20240625150301.0 | ||
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| 007 | cr |||aaaaa | ||
| 008 | 240625s2019 xxua gob 001 0 eng d | ||
| 020 |
_a9780191868993 _cGBP258.75 _q(e-book) |
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| 024 | 7 |
_2DOI: _ahttps://doi.org/10.1093/oso/9780198830917.001.0001 |
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| 040 |
_beng _cIN-MiVU |
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| 082 | 0 | 4 |
_221 _a572.838 _bSAE/E |
| 100 | 1 |
_aSætre, Glenn-Peter, _eauthor |
|
| 245 | 1 | 0 |
_aEvolutionary genetics: _bConcepts, analysis, and practice / _cGlenn-Peter Sætre and Mark Ravinet. _h[electronic resource] |
| 250 | _aFirst edition. | ||
| 260 | 3 |
_aNew York : _bOxford University Press, _c2019. |
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| 300 | _ae-book contains 310 pages: | ||
| 504 | _aIncludes bibliographical references and indexes. | ||
| 505 | 0 | _aContents 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 | |
| 520 | 3 | _aAbstract 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. | |
| 650 | 0 | _aEvolutionary genetics. | |
| 650 | 7 | _aEvolutionary genetics. | |
| 650 | 7 | _aGenetik | |
| 650 | 7 | _aGenom | |
| 650 | 7 | _aPopulationsgenetik | |
| 653 | 0 | 0 | _aGenetics and Genomics, |
| 653 | 0 | 0 | _aEvolutionary Biology, |
| 653 | 0 | 0 | _aBiomathematics and Statistics |
| 700 | 1 |
_aRavinet, M. _eauthor _q(Mark) |
|
| 856 | 4 | 0 |
_3https://academic.oup.com/book/36475 _uhttps://academic.oup.com/book/36475 _yClick here |
| 942 |
_2ddc _cEB |
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