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  • © 2015

Epistasis

Methods and Protocols

  • Includes cutting-edge methods and protocols
  • Provides step-by-step detail essential for reproducible results
  • Contains key notes and implementation advice from the experts
  • Includes supplementary material: sn.pub/extras

Part of the book series: Methods in Molecular Biology (MIMB, volume 1253)

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Table of contents (18 protocols)

  1. Front Matter

    Pages i-x
  2. Epistasis for Quantitative Traits in Drosophila

    • Trudy F. C. Mackay
    Pages 47-70
  3. On the Partitioning of Genetic Variance with Epistasis

    • José M. Álvarez-Castro, Arnaud Le Rouzic
    Pages 95-114
  4. Measuring Gene Interactions

    • Thomas F. Hansen
    Pages 115-143
  5. Direct Approach to Modeling Epistasis

    • Rong-Cai Yang
    Pages 159-183
  6. Compositional Epistasis: An Epidemiologic Perspective

    • Etsuji Suzuki, Tyler J. VanderWeele
    Pages 197-216
  7. Identification of Genome-Wide SNP–SNP and SNP–Clinical Boolean Interactions in Age-Related Macular Degeneration

    • Carlos Riveros, Renato Vimieiro, Elizabeth G. Holliday, Christopher Oldmeadow, Jie Jin Wang, Paul Mitchell et al.
    Pages 217-255
  8. Epistasis Analysis Using Information Theory

    • Jason H. Moore, Ting Hu
    Pages 257-268
  9. Network Theory for Data-Driven Epistasis Networks

    • Caleb A. Lareau, Brett A. McKinney
    Pages 285-300
  10. Epistasis Analysis Using Multifactor Dimensionality Reduction

    • Jason H. Moore, Peter C. Andrews
    Pages 301-314
  11. Epistasis Analysis Using ReliefF

    • Jason H. Moore
    Pages 315-325
  12. Epistasis Analysis Using Artificial Intelligence

    • Jason H. Moore, Doug P. Hill
    Pages 327-346
  13. Back Matter

    Pages 347-350

About this book

This volume presents a valuable and readily reproducible collection of established and emerging techniques on modern genetic analyses. Chapters focus on statistical or data mining analyses, genetic architecture, the burden of multiple testing, genetic variance, measuring epistasis, multifactor dimensionality reduction, and ReliefF. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.

Authoritative and practical, Epistasis: Methods and Protocols aids scientists in continuing to study elucidate epistasis in the context of modern data availability.

Editors and Affiliations

  • Department of Genetics, Institute of Quantitative Biomedical Sciences, Geisel School of Medicine, Hanover, USA

    Jason H. Moore, Scott M. Williams

Bibliographic Information

  • Book Title: Epistasis

  • Book Subtitle: Methods and Protocols

  • Editors: Jason H. Moore, Scott M. Williams

  • Series Title: Methods in Molecular Biology

  • DOI: https://doi.org/10.1007/978-1-4939-2155-3

  • Publisher: Humana New York, NY

  • eBook Packages: Springer Protocols

  • Copyright Information: Springer Science+Business Media New York 2015

  • Hardcover ISBN: 978-1-4939-2154-6Published: 17 November 2014

  • Softcover ISBN: 978-1-4939-4275-6Published: 22 September 2016

  • eBook ISBN: 978-1-4939-2155-3Published: 17 November 2014

  • Series ISSN: 1064-3745

  • Series E-ISSN: 1940-6029

  • Edition Number: 1

  • Number of Pages: X, 350

  • Number of Illustrations: 44 b/w illustrations, 17 illustrations in colour

  • Topics: Human Genetics

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
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