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✨
DESCRIPTION |NEWS
card.svg |card.png
Qtlizer/json (API)

# 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)

genomewideassociation snp genetics linkagedisequilibrium eqtl gwas variant-annotation

5.81 score 3 stars 12 scripts 348 downloads 4 mentions 1 exports 15 dependencies

Last updated from:5c860dc627. Checks:1 WARNING, 7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
bioc-checks	WARNING	158
linux-devel-x86_64	NOTE	192
source / vignettes	OK	172
linux-release-x86_64	NOTE	214
macos-release-arm64	NOTE	88
macos-oldrel-arm64	NOTE	117
windows-devel	NOTE	71
windows-release	NOTE	71
windows-oldrel	NOTE	135
wasm-release	OK	104