| 000 | 01983nam a2200277Ia 4500 | ||
|---|---|---|---|
| 000 | 02307naaa 00313uu | ||
| 001 | https://directory.doabooks.org/handle/20.500.12854/29509 | ||
| 005 | 20211222141240.0 | ||
| 008 | 211013s9999 xx 000 0 und d | ||
| 020 | _a978-1-0716-0199-0 | ||
| 024 | _a10.1007/978-1-0716-0199-0 | ||
| 042 | _adc | ||
| 245 | 0 | _aStatistical Population Genomics | |
| 260 |
_bSpringer Nature _c2020 |
||
| 300 | _a1 electronic resource (468 p.) | ||
| 506 | _aOpen Access | ||
| 520 | _aThis open access volume presents state-of-the-art inference methods in population genomics, focusing on data analysis based on rigorous statistical techniques. After introducing general concepts related to the biology of genomes and their evolution, the book covers state-of-the-art methods for the analysis of genomes in populations, including demography inference, population structure analysis and detection of selection, using both model-based inference and simulation procedures. Last but not least, it offers an overview of the current knowledge acquired by applying such methods to a large variety of eukaryotic organisms. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, pointers to the relevant literature, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Statistical Population Genomics aims to promote and ensure successful applications of population genomic methods to an increasing number of model systems and biological questions. | ||
| 540 | _aCreative Commons | ||
| 653 | _aLife sciences | ||
| 700 | 1 | _aDutheil, Julien Y. | |
| 700 | 1 | _aDutheil, Julien Y. | |
| 856 | _uhttps://directory.doabooks.org/handle/20.500.12854/29509 | ||
| 856 | _uhttps://library.oapen.org/bitstream/20.500.12657/23339/1/1006816.pdf | ||
| 856 | _uwww.oapen.org | ||
| 942 | _cE-BOOK | ||
| 999 |
_c52868 _d52868 |
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