recipe bioconductor-ibbig

Iterative Binary Biclustering of Genesets






iBBiG is a bi-clustering algorithm which is optimizes for binary data analysis. We apply it to meta-gene set analysis of large numbers of gene expression datasets. The iterative algorithm extracts groups of phenotypes from multiple studies that are associated with similar gene sets. iBBiG does not require prior knowledge of the number or scale of clusters and allows discovery of clusters with diverse sizes

package bioconductor-ibbig

(downloads) docker_bioconductor-ibbig



depends libblas:


depends libgcc-ng:


depends liblapack:


depends r-ade4:

depends r-base:


depends r-biclust:

depends r-xtable:



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-ibbig

and update with::

   mamba update bioconductor-ibbig

To create a new environment, run:

mamba create --name myenvname bioconductor-ibbig

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

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