- recipe bioconductor-qtlizer
Comprehensive QTL annotation of GWAS results
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).
- package bioconductor-qtlizer¶
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-qtlizer and update with:: mamba update bioconductor-qtlizer
To create a new environment, run:
mamba create --name myenvname bioconductor-qtlizer
myenvnamebeing a reasonable name for the environment (see e.g. the mamba docs for details and further options).
Alternatively, use the docker container:
docker pull quay.io/biocontainers/bioconductor-qtlizer:<tag> (see `bioconductor-qtlizer/tags`_ for valid values for ``<tag>``)