A new version of R/qtl (1.48-1) has been released at its website (rqtl.org) and on CRAN.Windows and Mac binaries will be available on CRAN within a few days. qtlcharts-package R/qtlcharts: Interactive charts for QTL data Description A QTL is a *quantitative trait locus*: a genetic locus that contributes to variation in a quantitative A Guide to QTL Mapping with R/qtl 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 Click on the article title to read more. An object of class cross. See qtl::read.cross() for details. Details An intercross with 144 individuals, each with one phenotype and typed at 145 markers. Source Karl W Broman, References Broman, K. W. and Sen, S. (2009) A Guide to QTL Mapping with R/qtl. Springer, New York. See Also ch3a, ch3c Examples data(ch3b) library(qtl) Analysis of experimental crosses to identify genes (called quantitative trait loci, QTLs) contributing to variation in quantitative traits. 2 A Guide to QTL Mapping with R/qtl single-QTL analysis. One assumes the presence of a single QTL and considers individually each site across the genome for the putative QTL. The authors begin with marker regres-sion in which a proper test is performed at each genetic marker on the association between the marker and the phenotype. A Guide to QTL Mapping with R/qtl. Karl W. Broman & Saunak Sen. $149.99; 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 A QTL is a quantitative trait locus: a genetic locus that contributes to variation in a quantitative trait. The goal of R/qtlcharts is to provide interactive data visualizations for QTL analyses, and to make these visualizations available from R. The interactive visualizations are built with the JavaScript library D3 (version 7) and are viewed To popularize this method, we developed an R package. This program with two versions (Graphical User Interface: QTL.gCIMapping.GUI v2.0 and code: QTL.gCIMapping v3.2) can be used to identify QTLs for quantitative traits in recombinant inbred lines, doubled haploid lines, backcross and F 2 populations. To save running time, fread function was QTL mapping data into R/qtl, we describe some of the example data sets that will be considered further in later chapters, and we demonstrate how one may simulate QTL mapping data in R/qtl. At the end of the chapter, we describe the internal structure of QTL mapping data within R/qtl; this section should probably be skipped at first reading. Datasets for the book, A Guide to QTL Mapping with R/qtl. Broman and Sen (2009) . Datasets for the book, A Guide to QTL Mapping with R/qtl. Broman and Sen (2009) .