recipe bioconductor-sesamedata

Supporting Data for SeSAMe Package

Homepage:

https://bioconductor.org/packages/3.18/data/experiment/html/sesameData.html

License:

Artistic-2.0

Recipe:

/bioconductor-sesamedata/meta.yaml

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

versions:

1.20.0-0,  1.18.0-0,  1.16.0-0,  1.12.0-1,  1.12.0-0,  1.10.0-0,  1.8.1-0,  1.8.0-0,  1.6.0-0, 

1.20.0-0,  1.18.0-0,  1.16.0-0,  1.12.0-1,  1.12.0-0,  1.10.0-0,  1.8.1-0,  1.8.0-0,  1.6.0-0,  1.4.0-0,  1.2.0-1,  1.0.0-1,  1.0.0-0

depends bioconductor-annotationhub:

>=3.10.0,<3.11.0

depends bioconductor-data-packages:

>=20231203

depends bioconductor-experimenthub:

>=2.10.0,<2.11.0

depends bioconductor-genomeinfodb:

>=1.38.0,<1.39.0

depends bioconductor-genomicranges:

>=1.54.0,<1.55.0

depends bioconductor-iranges:

>=2.36.0,<2.37.0

depends bioconductor-s4vectors:

>=0.40.0,<0.41.0

depends curl:

depends r-base:

>=4.3,<4.4.0a0

depends r-readr:

depends r-stringr:

requirements:

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

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

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-sesamedata/README.html)