recipe bioconductor-blacksheepr

Outlier Analysis for pairwise differential comparison






Blacksheep is a tool designed for outlier analysis in the context of pairwise comparisons in an effort to find distinguishing characteristics from two groups. This tool was designed to be applied for biological applications such as phosphoproteomics or transcriptomics, but it can be used for any data that can be represented by a 2D table, and has two sub populations within the table to compare.

package bioconductor-blacksheepr

(downloads) docker_bioconductor-blacksheepr



depends bioconductor-complexheatmap:


depends bioconductor-pasilla:


depends bioconductor-summarizedexperiment:


depends r-base:


depends r-circlize:

depends r-rcolorbrewer:

depends r-viridis:



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-blacksheepr

and update with::

   mamba update bioconductor-blacksheepr

To create a new environment, run:

mamba create --name myenvname bioconductor-blacksheepr

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

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