Skip to main content
  • Book
  • © 2021

Epistasis

Methods and Protocols

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)

Buy it now

Buying options

eBook USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

This is a preview of subscription content, log in via an institution to check for access.

Table of contents (23 protocols)

  1. Front Matter

    Pages i-x
  2. SNPInt-GPU: Tool for Epistasis Testing with Multiple Methods and GPU Acceleration

    • Lars Wienbrandt, Jan Christian Kässens, David Ellinghaus
    Pages 17-35
  3. Epistasis-Based Feature Selection Algorithm

    • Lauro Cássio Martins de Paula
    Pages 37-44
  4. W-Test for Genetic Epistasis Testing

    • Rui Sun, Haoyi Weng, Maggie Haitian Wang
    Pages 45-53
  5. The Combined Analysis of Pleiotropy and Epistasis (CAPE)

    • Anna L. Tyler, Jake Emerson, Baha El Kassaby, Ann E. Wells, Vivek M. Philip, Gregory W. Carter
    Pages 55-67
  6. Two-Stage Testing for Epistasis: Screening and Verification

    • Jakub Pecanka, Marianne A. Jonker
    Pages 69-92
  7. Phenotype Prediction Under Epistasis

    • Elaheh Vojgani, Torsten Pook, Henner Simianer
    Pages 105-120
  8. Simulating Evolution in Asexual Populations with Epistasis

    • Ramon Diaz-Uriarte
    Pages 121-154Open Access
  9. Protocol for Construction of Genome-Wide Epistatic SNP Networks Using WISH-R Package

    • Haja N. Kadarmideen, Victor Adriano Okstoft Carmelo
    Pages 155-168
  10. Brief Survey on Machine Learning in Epistasis

    • Davide Chicco, Trent Faultless
    Pages 169-179
  11. Gene–Environment Interaction: A Variable Selection Perspective

    • Fei Zhou, Jie Ren, Xi Lu, Shuangge Ma, Cen Wu
    Pages 191-223
  12. Using C-JAMP to Investigate Epistasis and Pleiotropy

    • Stefan Konigorski, Benjamin S. Glicksberg
    Pages 225-243
  13. Protocol for Epistasis Detection with Machine Learning Using GenEpi Package

    • Olutomilayo Olayemi Petinrin, Ka-Chun Wong
    Pages 291-305

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

  • 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

Buy it now

Buying options

eBook USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access