Analysis of experimental crosses to identify genes (called quantitative trait loci, QTLs) contributing to variation in quantitative traits.

Documentation

Manual: qtl.pdf
Vignette: Users Guide for New BCsFt Tools for R/qtl

Maintainer: Karl W Broman <kbroman at biostat.wisc.edu>

Author(s): Karl W Broman <kbroman at biostat.wisc.edu> and Hao Wu, with ideas from Gary Churchill and Saunak Sen and contributions from Danny Arends, Robert Corty, Timothee Flutre, Ritsert Jansen, Pjotr Prins, Lars Ronnegard, Rohan Shah, Laura Shannon, Quoc Tran, Aaron Wolen, and Brian Yandell

Install package and any missing dependencies by running this line in your R console:

install.packages("qtl")

Depends R (>= 2.14.0)
Imports parallel, graphics, stats, utils, grDevices
Suggests testthat
Enhances
Linking to
Reverse
depends
ASMap, ctl, dlmap, eqtl, mpMap, mQTL, pheno2geno, qtlbook, qtlhot, qtlnet, vqtl, wgaim, xoi
Reverse
imports
lineup, lmem.gwaser, lmem.qtler, PopVar, qtlcharts
Reverse
suggests
agridat, LinkageMapView, onemap, QTLRel, varbvs
Reverse
enhances
Reverse
linking to

Package qtl
Materials
URL http://rqtl.org
Task Views Genetics
Version 1.40-8
Published 2016-11-05
License GPL-3
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks qtl check results
Package source qtl_1.40-8.tar.gz