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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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY, U.S.A.
Humana Press
[2020]
|
Schriftenreihe: | Methods in molecular biology
2090 |
Schlagworte: | |
Online-Zugang: | Volltext Volltext Buchcover |
Zusammenfassung: | 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 |
Beschreibung: | 1 Online-Ressource (xii, 468 Seiten) |
ISBN: | 9781071601990 |
DOI: | 10.1007/978-1-0716-0199-0 |
Internformat
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Datensatz im Suchindex
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adam_text | |
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author2 | Dutheil, Julien Y. |
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isbn | 9781071601990 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031824159 |
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physical | 1 Online-Ressource (xii, 468 Seiten) |
psigel | ZDB-2-SOB ZDB-94-OAB ZDB-2-PRO ZDB-2-PRO_2020 |
publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | Humana Press |
record_format | marc |
series | Methods in molecular biology |
series2 | Methods in molecular biology Springer protocols |
spellingShingle | Statistical population genomics Methods in molecular biology Populationsgenomik (DE-588)1213474337 gnd |
subject_GND | (DE-588)1213474337 (DE-588)4143413-4 |
title | Statistical population genomics |
title_auth | Statistical population genomics |
title_exact_search | Statistical population genomics |
title_full | Statistical population genomics edited by Julien Y. Dutheil (Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Plön, Germany) |
title_fullStr | Statistical population genomics edited by Julien Y. Dutheil (Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Plön, Germany) |
title_full_unstemmed | Statistical population genomics edited by Julien Y. Dutheil (Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Plön, Germany) |
title_short | Statistical population genomics |
title_sort | statistical population genomics |
topic | Populationsgenomik (DE-588)1213474337 gnd |
topic_facet | Populationsgenomik Aufsatzsammlung |
url | https://doi.org/10.1007/978-1-0716-0199-0 https://www.doabooks.org/doab?func=fulltext&uiLanguage=en&rid=43541 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031824159&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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