Qtlizer

DOI: 10.18129/B9.bioc.Qtlizer    

Qtlizer: comprehensive QTL annotation of GWAS results

Bioconductor version: Release (3.10)

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>

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

Installation

To install this package, start R (version "3.6") 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 1.0.0
In Bioconductor since BioC 3.10 (R-3.6) (< 6 months)
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_1.0.0.tar.gz
Windows Binary Qtlizer_1.0.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) Qtlizer_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/Qtlizer
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/Qtlizer
Package Short Url https://bioconductor.org/packages/Qtlizer/
Package Downloads Report Download Stats

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