recipe r-bseqsc

Companion package to: A single-cell transcriptomic map of the human and mouse pancreas reveals inter- and intra-cell population structure. Baron et al. Cell Systems (2016)







doi: 10.1016/j.cels.2016.08.011

package r-bseqsc

(downloads) docker_r-bseqsc



depends bioconductor-annotationdbi:


depends bioconductor-biobase:


depends bioconductor-edger:


depends bioconductor-preprocesscore:


depends r-abind:


depends r-base:


depends r-cssam:


depends r-dplyr:


depends r-e1071:


depends r-ggplot2:


depends r-nmf:


depends r-openxlsx:


depends r-pkgmaker:


depends r-plyr:


depends r-rngtools:


depends r-scales:


depends r-stringr:


depends xbioc:




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 r-bseqsc

and update with::

   mamba update r-bseqsc

To create a new environment, run:

mamba create --name myenvname r-bseqsc

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

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