A Guide to QTL Mapping with R/qtl

Karl W. Broman, Saunak Sen (Autoren)

Buch | Softcover

400 Seiten

2011
Springer-Verlag New York Inc.
978-1-4614-1708-8 (ISBN)

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Quantitative trait locus (QTL) mapping is used to discover the genetic and molecular architecture underlying complex quantitative traits. It has important applications in agricultural, evolutionary, and biomedical research. R/qtl is an extensible, interactive environment for QTL mapping in experimental crosses. It is implemented as a package for the widely used open source statistical software R and contains a diverse array of QTL mapping methods, diagnostic tools for ensuring high-quality data, and facilities for the fit and exploration of multiple-QTL models, including QTL x QTL and QTL x environment interactions. This book is a comprehensive guide to the practice of QTL mapping and the use of R/qtl, including study design, data import and simulation, data diagnostics, interval mapping and generalizations, two-dimensional genome scans, and the consideration of complex multiple-QTL models. Two moderately challenging case studies illustrate QTL analysis in its entirety.

The book alternates between QTL mapping theory and examples illustrating the use of R/qtl. Novice readers will find detailed explanations of the important statistical concepts and, through the extensive software illustrations, will be able to apply these concepts in their own research. Experienced readers will find details on the underlying algorithms and the implementation of extensions to R/qtl. There are 150 figures, including 90 in full color.

Importing and simulating data.- Data checking.- Single-QTL analysis.- Non-normal phenotypes.- Experimental design and power.- Working with covariates.- Two-dimensional, two-QTL scans.- Fit and exploration of multiple-QTL models.- Case study I.- Case study II.

Erscheint lt. Verlag	2.12.2011
Reihe/Serie	Statistics for Biology and Health
Zusatzinfo	87 Illustrations, color; 64 Illustrations, black and white; XII, 400 p. 151 illus., 87 illus. in color.
Verlagsort	New York, NY
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Weitere Themen ► Bioinformatik
	Mathematik / Informatik ► Mathematik
	Naturwissenschaften ► Biologie ► Biochemie
	Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie
	Naturwissenschaften ► Biologie ► Zoologie
ISBN-10	1-4614-1708-2 / 1461417082
ISBN-13	978-1-4614-1708-8 / 9781461417088
Zustand	Neuware