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 2212)
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Table of contents (23 protocols)
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Front Matter
About this book
This volume explores methods and protocols for detecting epistasis from genetic data. Chapters provide methods and protocols demonstrating approaches to identify epistasis, genetic epistasis testing, genome-wide epistatic SNP networks, epistasis detection through machine learning, and complex interaction analysis using trigenic synthetic genetic array (τ-SGA). Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, application details for both the expert and non-expert reader, and tips on troubleshooting and avoiding known pitfalls.
Authoritative and cutting-edge, Epistasis: Methods and Protocols aims to ensure successful results in the further study of this vital field.
"Simulating Evolution in Asexual Populations with Epistasis” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Editors and Affiliations
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Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong
Ka-Chun Wong
Bibliographic Information
Book Title: Epistasis
Book Subtitle: Methods and Protocols
Editors: Ka-Chun Wong
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-0716-0947-7
Publisher: Humana New York, NY
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2021
Hardcover ISBN: 978-1-0716-0946-0Published: 18 March 2021
Softcover ISBN: 978-1-0716-0949-1Published: 19 March 2022
eBook ISBN: 978-1-0716-0947-7Published: 17 March 2021
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: X, 402
Number of Illustrations: 82 b/w illustrations, 85 illustrations in colour
Topics: Human Genetics