recipe bioconductor-flowsorted.cordbloodnorway.450k

Illumina HumanMethylation data on sorted cord blood cell populations

Homepage:

https://bioconductor.org/packages/3.18/data/experiment/html/FlowSorted.CordBloodNorway.450k.html

License:

Artistic-2.0

Recipe:

/bioconductor-flowsorted.cordbloodnorway.450k/meta.yaml

Raw data objects for the Illumina 450k DNA methylation microarrays, for cell type composition estimation.

package bioconductor-flowsorted.cordbloodnorway.450k

(downloads) docker_bioconductor-flowsorted.cordbloodnorway.450k

versions:
1.28.0-0,  1.26.0-0,  1.24.0-0,  1.18.0-0,  1.16.0-1,  1.16.0-0,  1.14.0-0,  1.12.0-0,  1.10.0-1, 

1.28.0-0,  1.26.0-0,  1.24.0-0,  1.18.0-0,  1.16.0-1,  1.16.0-0,  1.14.0-0,  1.12.0-0,  1.10.0-1,  1.8.0-0

depends bioconductor-data-packages:

>=20231203

depends bioconductor-minfi:

>=1.48.0,<1.49.0

depends curl:

depends r-base:

>=4.3,<4.4.0a0

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-flowsorted.cordbloodnorway.450k

and update with::

   mamba update bioconductor-flowsorted.cordbloodnorway.450k

To create a new environment, run:

mamba create --name myenvname bioconductor-flowsorted.cordbloodnorway.450k

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-flowsorted.cordbloodnorway.450k:<tag>

(see `bioconductor-flowsorted.cordbloodnorway.450k/tags`_ for valid values for ``<tag>``)

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