recipe bioconductor-qtlizer

Comprehensive QTL annotation of GWAS results

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/Qtlizer.html

License:

GPL-3

Recipe:

/bioconductor-qtlizer/meta.yaml

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

versions:

1.16.0-0,  1.14.0-0,  1.12.0-0,  1.8.0-0,  1.6.0-0,  1.4.0-1,  1.4.0-0,  1.2.0-0,  1.0.0-0

depends bioconductor-genomicranges:

>=1.54.0,<1.55.0

depends r-base:

>=4.3,<4.4.0a0

depends r-curl:

depends r-httr:

depends r-stringi:

requirements:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

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

with myenvname being 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>``)

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Link to this page

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[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-qtlizer/README.html)