Blick ins Buch

Epistasis

Methods and Protocols

Jason H. Moore, Scott M. Williams (Herausgeber)

Buch | Hardcover

350 Seiten

2014
Humana Press Inc. (Verlag)
978-1-4939-2154-6 (ISBN)

Lese- und Medienproben

Blick ins Buch (midvox)

Artikel merken

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.

Long Term Selection Experiments: Epistasis and The Response To Selection.- Finding the Epistasis Needles in the Genome-Wide Haystack.- Biological Knowledge-Driven Analysis of Epistasis in Human GWAS with Application to Lipid Traits.- Epistasis for Quantitative Traits in Drosophila.- Epistasis In The Risk Of Human Neuropsychiatric Disease.- On the Partitioning of Genetic Variance with Epistasis.- Measuring Gene Interactions.- Two Rules for the Detection and Quantification of Epistasis and other Interaction Effects.- Direct Approach to Modeling Epistasis.- Capacitating Epistasis - Detection and Role in the Genetic Architecture of Complex Traits.- Compositional Epistasis: An Epidemiologic Perspective.- Identification Of Genome—Wide SNP—SNP and SNP—Clinical Boolean Interactions In Age—Related Macular Degeneration.- Epistasis Analysis Using Information Theory.- Genome-Wide Epistasis and Pleiotropy Characterized by the Bipartite Human.- Network Theory for Data-Driven Epistasis Networks.- Epistasis Analysis Using Multifactor Dimensionality Reduction.- Epistasis Analysis Using ReliefF.- Epistasis Analysis Using Artificial Intelligence.

Reihe/Serie	Methods in Molecular Biology ; 1253
Zusatzinfo	17 Illustrations, color; 44 Illustrations, black and white; X, 350 p. 61 illus., 17 illus. in color.
Verlagsort	Totowa, NJ
Sprache	englisch
Maße	178 x 254 mm
Themenwelt	Informatik ► Weitere Themen ► Bioinformatik
	Medizin / Pharmazie ► Medizinische Fachgebiete
	Studium ► 2. Studienabschnitt (Klinik) ► Humangenetik
	Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie
Schlagworte	allelic average excess • decomposition of genetic variance • de novo mutations • epistasis • genetic variance • genome wide data sets • genotype to phenotype maps • Modern genetic analyses • quantitative trait locus mapping • trait’s genetic architecture
ISBN-10	1-4939-2154-1 / 1493921541
ISBN-13	978-1-4939-2154-6 / 9781493921546
Zustand	Neuware