Package: Qtlizer 1.26.0

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_1.26.0.tar.gz
Qtlizer_1.26.0.zip(r-4.7)Qtlizer_1.26.0.zip(r-4.6)Qtlizer_1.26.0.zip(r-4.5)
Qtlizer_1.26.0.tgz(r-4.6-any)Qtlizer_1.26.0.tgz(r-4.5-any)
Qtlizer_1.26.0.tar.gz(r-4.7-any)Qtlizer_1.26.0.tar.gz(r-4.6-any)
Qtlizer_1.26.0.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-release.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

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

Last updated from:b82f2adcf3 (on RELEASE_3_23). Checks:8 NOTE, 2 OK. Indexed: no.

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