Epistasis
Methods and Protocols
Buch in deiner Nähe kaufen
Beschreibung
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.
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.
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
Autor*in
Jason H. Moore
Themen in »Epistasis«
Modern genetic analyses allelic average excess de novo mutations decomposition of genetic variance epistasis genetic variance genome wide data sets genotype to phenotype maps quantitative trait locus mapping trait’s genetic architecture