recipe bioconductor-medme

Modelling Experimental Data from MeDIP Enrichment

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/MEDME.html

License:

GPL (>= 2)

Recipe:

/bioconductor-medme/meta.yaml

Links:

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

versions:
1.66.0-01.62.0-01.60.0-01.58.0-11.58.0-01.54.0-21.54.0-11.54.0-01.52.0-0

1.66.0-01.62.0-01.60.0-01.58.0-11.58.0-01.54.0-21.54.0-11.54.0-01.52.0-01.50.0-11.50.0-01.48.0-01.46.0-01.44.0-11.42.0-01.40.0-01.38.0-0

depends bioconductor-biostrings:

>=2.74.0,<2.75.0

depends bioconductor-biostrings:

>=2.74.0,<2.75.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc:

>=13

depends liblapack:

>=3.9.0,<4.0a0

depends r-base:

>=4.4,<4.5.0a0

depends r-drc:

depends r-mass:

requirements:

additional platforms:

Installation

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 quay.io/biocontainers/bioconductor-medme:<tag>

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

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