Package: Qtlizer 1.27.0

Matthias Munz

Qtlizer: Comprehensive QTL annotation of GWAS results

This R package provides access to the Qtlizer web server. Qtlizer annotates lists of common small variants (mainly SNPs) and genes in humans with associated changes in gene expression using the most comprehensive database of published quantitative trait loci (QTLs).

Authors:Matthias Munz [aut, cre], Julia Remes [aut]

Qtlizer_1.27.0.tar.gz
Qtlizer_1.27.0.zip(r-4.7)Qtlizer_1.27.0.zip(r-4.6)Qtlizer_1.27.0.zip(r-4.5)
Qtlizer_1.27.0.tgz(r-4.6-any)Qtlizer_1.27.0.tgz(r-4.5-any)
Qtlizer_1.27.0.tar.gz(r-4.7-any)Qtlizer_1.27.0.tar.gz(r-4.6-any)
Qtlizer_1.27.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
Qtlizer/json (API)
NEWS

# Install 'Qtlizer' in R:
install.packages('Qtlizer', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/matmu/qtlizer/issues

On BioConductor:Qtlizer-1.27.0(bioc 3.24)Qtlizer-1.26.0(bioc 3.23)

genomewideassociationsnpgeneticslinkagedisequilibriumeqtlgwasvariant-annotation

5.85 score 3 stars 13 scripts 359 downloads 4 mentions 1 exports 15 dependencies

Last updated from:5c860dc627. Checks:8 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE148
linux-devel-x86_64NOTE149
source / vignettesOK178
linux-release-x86_64NOTE173
macos-release-arm64NOTE78
macos-oldrel-arm64NOTE77
windows-develNOTE93
windows-releaseNOTE150
windows-oldrelNOTE74
wasm-releaseOK109

Exports:get_qtls

Dependencies:askpassBiocGenericscurlgenericsGenomicRangeshttrIRangesjsonlitemimeopensslR6S4VectorsSeqinfostringisys

Qtlizer: comprehensive QTL annotation of GWAS results

Rendered fromQtlizer.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2020-05-11
Started: 2019-06-26