Qtlizer
This is the development version of Qtlizer; for the stable release version, see Qtlizer.
Comprehensive QTL annotation of GWAS results
Bioconductor version: Development (3.21)
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:
Maintainer: Matthias Munz <matthias.munz at gmx.de>
citation("Qtlizer")):
Installation
To install this package, start R (version "4.5") 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
| Reference Manual |
Details
| biocViews | Genetics, GenomeWideAssociation, LinkageDisequilibrium, SNP, Software |
| Version | 1.21.0 |
| In Bioconductor since | BioC 3.10 (R-3.6) (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 | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| 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 |