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:
1.72
Depends:
R (≥ 2.14.0)
Imports:
parallel, graphics, stats, utils, grDevices
Published:
2025年11月19日
Author:
Karl W Broman
ORCID iD
[aut, cre],
Hao Wu [aut],
Gary Churchill
ORCID iD
[ctb],
Saunak Sen
ORCID iD [ctb],
Danny Arends
ORCID iD
[ctb],
Robert Corty [ctb],
Timothee Flutre [ctb],
Ritsert Jansen [ctb],
Pjotr Prins
ORCID iD [ctb],
Lars Ronnegard [ctb],
Rohan Shah [ctb],
Laura Shannon [ctb],
Quoc Tran [ctb],
Aaron Wolen [ctb],
Brian Yandell
ORCID iD
[ctb],
R Core Team [ctb]
Maintainer:
Karl W Broman <broman at wisc.edu>
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)
NeedsCompilation:
yes
Documentation:
Downloads:
Reverse dependencies:
Reverse imports:
dQTG.seq,
fssemR,
lineup,
LinkageMapView,
mppR,
netgwas,
PopVar,
qpgraph,
QTL.gCIMapping,
qtl2convert,
qtlcharts,
rNeighborQTL,
statgenSTA
Linking:
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