recipe bioconductor-shinymethyldata

Example dataset of input data for shinyMethyl

Homepage:

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

License:

Artistic-2.0

Recipe:

/bioconductor-shinymethyldata/meta.yaml

Extracted data from 369 TCGA Head and Neck Cancer DNA methylation samples. The extracted data serve as an example dataset for the package shinyMethyl. Original samples are from 450k methylation arrays, and were obtained from The Cancer Genome Atlas (TCGA). 310 samples are from tumor, 50 are matched normals and 9 are technical replicates of a control cell line.

package bioconductor-shinymethyldata

(downloads) docker_bioconductor-shinymethyldata

versions:
1.22.0-01.20.0-01.17.0-01.14.0-11.14.0-01.12.0-01.10.0-11.10.0-01.9.0-0

1.22.0-01.20.0-01.17.0-01.14.0-11.14.0-01.12.0-01.10.0-11.10.0-01.9.0-01.8.0-01.6.0-01.4.0-11.4.0-01.2.0-0

depends bioconductor-data-packages:

>=20231203

depends curl:

depends r-base:

>=4.3,<4.4.0a0

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-shinymethyldata

and update with::

   mamba update bioconductor-shinymethyldata

To create a new environment, run:

mamba create --name myenvname bioconductor-shinymethyldata

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-shinymethyldata:<tag>

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

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