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Qtlizer

This is the released version of Qtlizer; for the devel version, see Qtlizer.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10

Comprehensive QTL annotation of GWAS results

DOI: 10.18129/B9.bioc.Qtlizer

Bioconductor version: Release (3.23)

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).

Author: Matthias Munz [aut, cre] ORCID: 0000-0002-4728-3357 , Julia Remes [aut]

Maintainer: Matthias Munz <matthias.munz at gmx.de>

Citation (from within R, enter citation("Qtlizer")):

Matthias Munz, Julia Remes. Qtlizer: Comprehensive QTL annotation of GWAS results. doi:10.18129/B9.bioc.Qtlizer, R package version 1.26.0, https://bioconductor.org/packages/Qtlizer.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("Qtlizer")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("Qtlizer")

Details

Package Archives

Follow Installation instructions to use this package in your R session.