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...

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Формат: Online
Мова:Англійська
Опубліковано: Springer Nature 2021
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Онлайн доступ:1006816
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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.
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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