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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.
1. Long Term Selection Experiments: Epistasis and The Response To Selection
Charles Goodnight
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2. Finding the Epistasis Needles in the Genome-Wide Haystack
Marylyn D. Ritchie
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3. Biological Knowledge-Driven Analysis of Epistasis in Human GWAS with Application to Lipid Traits
Li Ma, Alon Keinan, and Andrew G. Clark
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4. Epistasis for Quantitative Traits in Drosophila
Trudy F. C. Mackay
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5. Epistasis In The Risk Of Human Neuropsychiatric Disease
Scott M Williams
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6. On the Partitioning of Genetic Variance with Epistasis
Jos? M ?lvarez-Castro and Arnaud Le Rouzic
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7. Measuring Gene Interactions
Thomas F. Hansen
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8. Two Rules for the Detection and Quantification of Epistasis al³
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