recipe bioconductor-sesamedata

Supporting Data for SeSAMe Package






Provides supporting annotation and test data for SeSAMe package. This includes chip tango addresses, mapping information, performance annotation, and trained predictor for Infinium array data. This package provides user access to essential annotation data for working with many generations of the Infinium DNA methylation array. Current we support human array (HM27, HM450, EPIC), mouse array (MM285) and the HorvathMethylChip40 (Mammal40) array.

package bioconductor-sesamedata

(downloads) docker_bioconductor-sesamedata



depends bioconductor-annotationhub:


depends bioconductor-data-packages:


depends bioconductor-experimenthub:


depends bioconductor-genomeinfodb:


depends bioconductor-genomicranges:


depends bioconductor-iranges:


depends bioconductor-s4vectors:


depends curl:

depends r-base:


depends r-readr:

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-sesamedata

and update with::

   mamba update bioconductor-sesamedata

To create a new environment, run:

mamba create --name myenvname bioconductor-sesamedata

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

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