recipe bioconductor-masigpro

Significant Gene Expression Profile Differences in Time Course Gene Expression Data



GPL (>= 2)




biotools: masigpro, doi: 10.1093/bioinformatics/btu333

maSigPro is a regression based approach to find genes for which there are significant gene expression profile differences between experimental groups in time course microarray and RNA-Seq experiments.

package bioconductor-masigpro

(downloads) docker_bioconductor-masigpro



depends bioconductor-biobase:


depends r-base:


depends r-mass:

depends r-mclust:

depends r-venn:



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-masigpro

and update with::

   mamba update bioconductor-masigpro

To create a new environment, run:

mamba create --name myenvname bioconductor-masigpro

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

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