qtl: Tools for Analyzing QTL Experiments

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

Version: 1.41-6
Depends: R (≥ 2.14.0)
Imports: parallel, graphics, stats, utils, grDevices
Suggests: testthat
Published: 2017-06-12
Author: Karl W Broman 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
Maintainer: Karl W Broman <kbroman at biostat.wisc.edu>
License: GPL-3
URL: http://rqtl.org
NeedsCompilation: yes
Citation: qtl citation info
Materials: README
In views: Genetics
CRAN checks: qtl results


Reference manual: qtl.pdf
Vignettes: Users Guide for New BCsFt Tools for R/qtl
Package source: qtl_1.41-6.tar.gz
Windows binaries: r-devel: qtl_1.41-6.zip, r-release: qtl_1.41-6.zip, r-oldrel: qtl_1.41-6.zip
OS X El Capitan binaries: r-release: qtl_1.41-6.tgz
OS X Mavericks binaries: r-oldrel: qtl_1.41-6.tgz
Old sources: qtl archive

Reverse dependencies:

Reverse depends: ASMap, ctl, dlmap, eqtl, mpMap, mQTL, pheno2geno, qtlbook, qtlhot, qtlnet, wgaim, xoi
Reverse imports: BayesNetBP, lineup, lmem.gwaser, lmem.qtler, PopVar, qtlcharts, synbreed, vqtl
Reverse suggests: agridat, LinkageMapView, onemap, QTLRel, varbvs


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