recipe bioconductor-mast

Model-based Analysis of Single Cell Transcriptomics



GPL(>= 2)




biotools: mast, doi: 10.1186/s13059-015-0844-5

Methods and models for handling zero-inflated single cell assay data.

package bioconductor-mast

(downloads) docker_bioconductor-mast



depends bioconductor-biobase:


depends bioconductor-biocgenerics:


depends bioconductor-s4vectors:


depends bioconductor-singlecellexperiment:


depends bioconductor-summarizedexperiment:


depends r-abind:

depends r-base:


depends r-data.table:

depends r-ggplot2:

depends r-matrix:

depends r-plyr:

depends r-progress:

depends r-reshape2:

depends r-stringr:



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-mast

and update with::

   mamba update bioconductor-mast

To create a new environment, run:

mamba create --name myenvname bioconductor-mast

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

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