qtl: Tools for Analyzing QTL Experiments

Analysis of experimental crosses to identify genes (called quantitative trait loci, QTLs) contributing to variation in quantitative traits. Broman et al. (2003) <doi:10.1093/bioinformatics/btg112>.

Version: 1.50
Depends: R (≥ 2.14.0)
Imports: parallel, graphics, stats, utils, grDevices
Suggests: testthat
Published: 2021-10-06
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, Brian Yandell, and R Core Team
Maintainer: Karl W Broman <broman at wisc.edu>
BugReports: https://github.com/kbroman/qtl/issues
License: GPL-3
Copyright: Code for Brent's method for finding the root of a univariate function was taken from R 2.15.1 (Copyright 1999, 2001 The R Core Team)
URL: https://rqtl.org, https://github.com/kbroman/qtl
NeedsCompilation: yes
Citation: qtl citation info
Materials: README NEWS
In views: Genetics
CRAN checks: qtl results

Documentation:

Reference manual: qtl.pdf
Vignettes: Users Guide for New BCsFt Tools for R/qtl

Downloads:

Package source: qtl_1.50.tar.gz
Windows binaries: r-devel: qtl_1.50.zip, r-devel-UCRT: qtl_1.50.zip, r-release: qtl_1.50.zip, r-oldrel: qtl_1.50.zip
macOS binaries: r-release (arm64): qtl_1.50.tgz, r-release (x86_64): qtl_1.50.tgz, r-oldrel: qtl_1.50.tgz
Old sources: qtl archive

Reverse dependencies:

Reverse depends: ASMap, ctl, eqtl, MPR.genotyping, mQTL, QTL.gCIMapping, QTL.gCIMapping.GUI, qtlhot, qtlnet, trigger, wgaim, xoi
Reverse imports: cape, fssemR, GenomicMating, lineup, LinkageMapView, lmem.qtler, mppR, netgwas, PopVar, qpgraph, qtl2convert, qtlcharts, rNeighborQTL, statgenSTA
Reverse suggests: agridat, BayesNetBP, chromPlot, genotypeR, MDSMap, onemap, publipha, qtl2, qtlbook, QTLRel, simcross, varbvs

Linking:

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