recipe bioconductor-methylclockdata

Data for methylclock package

Homepage:

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

License:

MIT + file LICENSE

Recipe:

/bioconductor-methylclockdata/meta.yaml

Collection of 9 datasets, andrews and bakulski cord blood, blood gse35069, blood gse35069 chen, blood gse35069 complete, combined cord blood, cord bloo d gse68456, gervin and lyle cord blood, guintivano dlpfc and saliva gse48472". Data downloaded from [meffil](https://github.com/perishky/meffil/). Data used to estimate cell counts using Extrinsic epigenetic age acceleration (EEAA) method Collection of 12 datasets to use with MethylClock package to estimate chronological and gestational DNA methylationwith estimators to use wit different methylation clocks

package bioconductor-methylclockdata

(downloads) docker_bioconductor-methylclockdata

versions:

1.10.0-0,  1.8.1-0,  1.6.0-0,  1.2.0-1,  1.2.0-0,  1.0.0-0

depends bioconductor-data-packages:

>=20231203

depends bioconductor-experimenthub:

>=2.10.0,<2.11.0

depends bioconductor-experimenthubdata:

>=1.28.0,<1.29.0

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-methylclockdata

and update with::

   mamba update bioconductor-methylclockdata

To create a new environment, run:

mamba create --name myenvname bioconductor-methylclockdata

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-methylclockdata:<tag>

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

Download stats

Link to this page

Render an install-with-bioconda 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-methylclockdata/README.html)