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Qtlizer

This is the development version of Qtlizer; for the stable release version, see Qtlizer.

Comprehensive QTL annotation of GWAS results

Bioconductor version: Development (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")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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 1.15.0
In Bioconductor since BioC 3.10 (R-3.6) (4 years)
License GPL-3
Depends R (>= 3.6.0)
Imports httr, curl, GenomicRanges, stringi
Linking To
Suggests BiocStyle, testthat, knitr, rmarkdown
System Requirements
Enhances
URL
Bug Reports https://github.com/matmu/Qtlizer/issues
See More
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package Qtlizer_1.15.0.tar.gz
Windows Binary Qtlizer_1.15.0.zip (64-bit only)
macOS Binary (x86_64) Qtlizer_1.15.0.tgz
macOS Binary (arm64) Qtlizer_1.15.0.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