recipe bioconductor-qpgraph

Estimation of genetic and molecular regulatory networks from high-throughput genomics data



GPL (>= 2)




biotools: qpgraph

Estimate gene and eQTL networks from high-throughput expression and genotyping assays.

package bioconductor-qpgraph

(downloads) docker_bioconductor-qpgraph



depends bioconductor-annotate:


depends bioconductor-annotationdbi:


depends bioconductor-biobase:


depends bioconductor-biocparallel:


depends bioconductor-genomeinfodb:


depends bioconductor-genomicfeatures:


depends bioconductor-genomicranges:


depends bioconductor-graph:


depends bioconductor-iranges:


depends bioconductor-rgraphviz:


depends bioconductor-s4vectors:


depends libblas:


depends libgcc-ng:


depends liblapack:


depends r-base:


depends r-matrix:


depends r-mvtnorm:

depends r-qtl:



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-qpgraph

and update with::

   mamba update bioconductor-qpgraph

To create a new environment, run:

mamba create --name myenvname bioconductor-qpgraph

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<tag>

(see `bioconductor-qpgraph/tags`_ for valid values for ``<tag>``)

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