Editors:
Includes cutting-edge methods and protocols
Provides step-by-step detail essential for reproducible results
Contains key notes and implementation advice from the experts
Part of the book series: Methods in Molecular Biology (MIMB, volume 2090)
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Table of contents (20 protocols)
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Back Matter
About this book
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.
Editors and Affiliations
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Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Plön, Germany
Julien Y. Dutheil
Bibliographic Information
Book Title: Statistical Population Genomics
Editors: Julien Y. Dutheil
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-0716-0199-0
Publisher: Humana New York, NY
eBook Packages: Springer Protocols
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2020
License: CC BY
Hardcover ISBN: 978-1-0716-0198-3Published: 24 January 2020
Softcover ISBN: 978-1-0716-0201-0Published: 18 September 2020
eBook ISBN: 978-1-0716-0199-0Published: 23 January 2020
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: XII, 468
Number of Illustrations: 105 b/w illustrations, 98 illustrations in colour
Topics: Bioinformatics, Genetics and Genomics