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Qtlizer

Comprehensive QTL annotation of GWAS results


Bioconductor version: Release (3.18)

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] , Julia Remes [aut]

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

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

Installation

To install this package, start R (version "4.3") 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")
Qtlizer HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews Genetics, GenomeWideAssociation, LinkageDisequilibrium, SNP, Software
Version 1.16.0
In Bioconductor since BioC 3.10 (R-3.6) (4.5 years)
License GPL-3
Depends R (>= 3.6.0)
Imports httr, curl, GenomicRanges, stringi
System Requirements
URL
Bug Reports https://github.com/matmu/Qtlizer/issues
See More
Suggests BiocStyle, testthat, knitr, rmarkdown
Linking To
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Depends On Me
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Package Archives

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

Source Package Qtlizer_1.16.0.tar.gz
Windows Binary Qtlizer_1.16.0.zip
macOS Binary (x86_64) Qtlizer_1.16.0.tgz
macOS Binary (arm64) Qtlizer_1.16.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/Qtlizer
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/Qtlizer
Bioc Package Browser https://code.bioconductor.org/browse/Qtlizer/
Package Short Url https://bioconductor.org/packages/Qtlizer/
Package Downloads Report Download Stats