recipe bioconductor-medme

Modelling Experimental Data from MeDIP Enrichment



GPL (>= 2)




biotools: medme, doi: 10.1101/gr.080721.108

MEDME allows the prediction of absolute and relative methylation levels based on measures obtained by MeDIP-microarray experiments

package bioconductor-medme

(downloads) docker_bioconductor-medme



depends bioconductor-biostrings:


depends bioconductor-biostrings:


depends libblas:


depends libgcc-ng:


depends liblapack:


depends r-base:


depends r-drc:

depends r-mass:



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-medme

and update with::

   mamba update bioconductor-medme

To create a new environment, run:

mamba create --name myenvname bioconductor-medme

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

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