recipe bioconductor-bearscc

BEARscc (Bayesian ERCC Assesstment of Robustness of Single Cell Clusters)






BEARscc is a noise estimation and injection tool that is designed to assess putative single-cell RNA-seq clusters in the context of experimental noise estimated by ERCC spike-in controls.

package bioconductor-bearscc

(downloads) docker_bioconductor-bearscc



depends bioconductor-singlecellexperiment:


depends r-base:


depends r-data.table:

depends r-ggplot2:



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-bearscc

and update with::

   mamba update bioconductor-bearscc

To create a new environment, run:

mamba create --name myenvname bioconductor-bearscc

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

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