Statistical Population Genomics
Editors: Dutheil, Julien Y. (Ed.)
Free Preview- Includes cutting-edge methods and protocols
- Provides step-by-step detail essential for reproducible results
- Contains key notes and implementation advice from the experts
Buy this book
- 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.
- Table of contents (20 chapters)
-
-
A Population Genomics Lexicon
Pages 3-17
-
Processing and Analyzing Multiple Genomes Alignments with MafFilter
Pages 21-48
-
Data Management and Summary Statistics with PLINK
Pages 49-65
-
Exploring Population Structure with Admixture Models and Principal Component Analysis
Pages 67-86
-
Detecting Positive Selection in Populations Using Genetic Data
Pages 87-123
-
Table of contents (20 chapters)
Recommended for you
Bibliographic Information
- Bibliographic Information
-
- Book Title
- Statistical Population Genomics
- Editors
-
- Julien Y. 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
- 978-1-0716-0199-0
- DOI
- 10.1007/978-1-0716-0199-0
- Hardcover ISBN
- 978-1-0716-0198-3
- Softcover ISBN
- 978-1-0716-0201-0
- Series ISSN
- 1064-3745
- Edition Number
- 1
- Number of Pages
- XII, 468
- Number of Illustrations
- 105 b/w illustrations, 98 illustrations in colour
- Topics
