recipe bioconductor-grenits

Gene Regulatory Network Inference Using Time Series



GPL (>= 2)



The package offers four network inference statistical models using Dynamic Bayesian Networks and Gibbs Variable Selection: a linear interaction model, two linear interaction models with added experimental noise (Gaussian and Student distributed) for the case where replicates are available and a non-linear interaction model.

package bioconductor-grenits

(downloads) docker_bioconductor-grenits



depends libblas:


depends libgcc-ng:


depends liblapack:


depends libstdcxx-ng:


depends r-base:


depends r-ggplot2:


depends r-rcpp:


depends r-rcpparmadillo:


depends r-reshape2:



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-grenits

and update with::

   mamba update bioconductor-grenits

To create a new environment, run:

mamba create --name myenvname bioconductor-grenits

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-grenits/tags`_ for valid values for ``<tag>``)

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