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A Guide to Qtl Mapping with R/Qtl

A Guide to Qtl Mapping with R/Qtl

Paperback

Series: Statistics for Biology and Health

Medical ReferenceChemistryGeneral Science

ISBN10: 1461417082
ISBN13: 9781461417088
Publisher: Springer Nature
Published: Dec 2 2011
Pages: 400
Weight: 1.28
Height: 0.85 Width: 6.14 Depth: 9.21
Language: English

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.

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