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Statistical Population Genomics

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Author: Search for this author SpringerLink (Online service)
Medium identifier: OA
Year: 2020.
Publisher: New York, NY :, Springer US :
Series: Methods in Molecular Biology,; 2090
Media group: eBook
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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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Details

Author: Search for this author SpringerLink (Online service)
Statement of Responsibility: edited by Julien Y. Dutheil.
Medium identifier: OA
Year: 2020.
Publisher: New York, NY :, Springer US :
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Subject type: Search for this subject type PSD, SCI056000, UB
ISBN: 9781071601990
Description: 1st ed. 2020., XII, 468 p. 203 illus., 98 illus. in color., online resource.
Series: Methods in Molecular Biology,; 2090
Tags: Bioinformatics.; Genetics.; Genetics and Genomics.
Participating parties: Search for this character Dutheil, Julien Y. (editor); SpringerLink (Online service) (contributor)
Media group: eBook