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Methods in Molecular Biology
cover
Open Access This content is freely available online to anyone, anywhere at any time.

Statistical Population Genomics

Editors: Dutheil, Julien (Ed.)

  • Includes cutting-edge methods and protocols 
  • Provides step-by-step detail essential for reproducible results 
  • Contains key notes and implementation advice from the experts
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  • ISBN 978-1-07-160199-0
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About this book

This book is open access under a CC BY 4.0 license. 

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.


Buy this book

eBook  
  • ISBN 978-1-07-160199-0
  • The ebook is not yet available online.
Hardcover n/a
  • ISBN 978-1-07-160198-3
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Statistical Population Genomics
Editors
  • Julien Dutheil
Series Title
Methods in Molecular Biology
Series Volume
2090
Copyright
2020
Publisher
Springer US
Copyright Holder
The Editor(s) (if applicable) and The Author(s)
eBook ISBN
978-1-07-160199-0
DOI
10.1007/978-1-0716-0199-0
Hardcover ISBN
978-1-07-160198-3
Series ISSN
1064-3745
Edition Number
1
Number of Pages
445
Number of Illustrations
20 b/w illustrations, 70 illustrations in colour
Topics