Package: Qtlizer 1.19.0

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_1.19.0.tar.gz
Qtlizer_1.19.0.zip(r-4.5)Qtlizer_1.19.0.zip(r-4.4)Qtlizer_1.19.0.zip(r-4.3)
Qtlizer_1.19.0.tgz(r-4.4-any)Qtlizer_1.19.0.tgz(r-4.3-any)
Qtlizer_1.19.0.tar.gz(r-4.5-noble)Qtlizer_1.19.0.tar.gz(r-4.4-noble)
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Qtlizer.pdf |Qtlizer.html✨
Qtlizer/json (API)
NEWS

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

Peer review:

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

On BioConductor:Qtlizer-1.19.0(bioc 3.20)Qtlizer-1.18.0(bioc 3.19)

bioconductor-package

1 exports 0.61 score 18 dependencies 4 mentions

Last updated 2 months agofrom:250001bf2c

Exports:get_qtls

Dependencies:askpassBiocGenericscurlGenomeInfoDbGenomeInfoDbDataGenomicRangeshttrIRangesjsonlitemimeopensslR6S4VectorsstringisysUCSC.utilsXVectorzlibbioc

Qtlizer: comprehensive QTL annotation of GWAS results

Julia Remes & Matthias Munz

Rendered fromQtlizer.Rmdusingknitr::rmarkdownon Jun 30 2024.

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