This volume explores methods and prools for detecting epistasis from genetic data. Chapters provide methods and prools 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 Prools
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.