recipe bioconductor-genomicinstability

Genomic Instability estimation for scRNA-Seq






This package contain functions to run genomic instability analysis (GIA) from scRNA-Seq data. GIA estimates the association between gene expression and genomic location of the coding genes. It uses the aREA algorithm to quantify the enrichment of sets of contiguous genes (loci-blocks) on the gene expression profiles and estimates the Genomic Instability Score (GIS) for each analyzed cell.

package bioconductor-genomicinstability

(downloads) docker_bioconductor-genomicinstability



depends bioconductor-summarizedexperiment:


depends r-base:


depends r-checkmate:

depends r-mixtools:



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-genomicinstability

and update with::

   mamba update bioconductor-genomicinstability

To create a new environment, run:

mamba create --name myenvname bioconductor-genomicinstability

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

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