Qtlizer

DOI: 10.18129/B9.bioc.Qtlizer    

This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see Qtlizer.

Qtlizer: comprehensive QTL annotation of GWAS results

Bioconductor version: 3.11

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 <m.munz at uni-luebeck.de>

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("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")

 

HTML	R Script	Qtlizer
PDF		Reference Manual
Text		NEWS

Details

biocViews	Genetics, GenomeWideAssociation, LinkageDisequilibrium, SNP, Software
Version	1.2.0
In Bioconductor since	BioC 3.10 (R-3.6) (1 year)
License	GPL-3
Depends	R (>= 3.6.0)
Imports	httr, curl, GenomicRanges, stringi
LinkingTo
Suggests	BiocStyle, testthat, knitr, rmarkdown
SystemRequirements
Enhances
URL
BugReports	https://github.com/matmu/Qtlizer/issues
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_1.2.0.tar.gz
Windows Binary	Qtlizer_1.2.0.zip
macOS 10.13 (High Sierra)	Qtlizer_1.2.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/Qtlizer
Source Repository (Developer Access)	git clone [email protected]:packages/Qtlizer
Package Short Url	https://bioconductor.org/packages/Qtlizer/
Package Downloads Report	Download Stats