Statistical Population Genomics
This 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 a...
Збережено в:
| Формат: | Online |
|---|---|
| Мова: | Англійська |
| Опубліковано: |
Springer Nature
2021
|
| Предмети: | |
| Онлайн доступ: | 1006816 |
| Теги: |
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|
| _version_ | 1869529288893530112 |
|---|---|
| collection | Directory of Open Access Books |
| description | This 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. |
| format | Online |
| id | doab-20.500.12854ir-29509 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-295092025-07-21T15:57:28Z Statistical Population Genomics Dutheil, Julien Y. Life sciences Bioinformatics Genetics thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical) thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSD Molecular biology thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical) thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSD Molecular biology This 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. 2021-02-10T13:33:06Z 2021-02-10T13:33:06Z 2020-03-18 13:36:15 2020-04-01T09:12:29Z 2020 book 1006816 OCN: 1139138925 http://library.oapen.org/handle/20.500.12657/23339 https://directory.doabooks.org/handle/20.500.12854/29509 eng Methods in Molecular Biology open access image/jpeg image/jpeg image/jpeg n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/23339/1/1006816.pdf https://library.oapen.org/bitstream/20.500.12657/23339/1/1006816.pdf https://library.oapen.org/bitstream/20.500.12657/23339/1/1006816.pdf Springer Nature 10.1007/978-1-0716-0199-0 10.1007/978-1-0716-0199-0 9fa3421d-f917-4153-b9ab-fc337c396b5a 468 open access |
| spellingShingle | Life sciences Bioinformatics Genetics thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical) thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSD Molecular biology thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical) thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSD Molecular biology Statistical Population Genomics |
| title | Statistical Population Genomics |
| title_full | Statistical Population Genomics |
| title_fullStr | Statistical Population Genomics |
| title_full_unstemmed | Statistical Population Genomics |
| title_short | Statistical Population Genomics |
| title_sort | statistical population genomics |
| topic | Life sciences Bioinformatics Genetics thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical) thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSD Molecular biology thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical) thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSD Molecular biology |
| topic_facet | Life sciences Bioinformatics Genetics thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical) thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSD Molecular biology thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical) thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSD Molecular biology |
| url | 1006816 |