recipe bioconductor-gse103322

GEO accession data GSE103322 as a SingleCellExperiment

Homepage:

https://bioconductor.org/packages/3.18/data/experiment/html/GSE103322.html

License:

Artistic-2.0

Recipe:

/bioconductor-gse103322/meta.yaml

Single cell RNA-Seq data for 5902 cells from 18 patients with oral cavity head and neck squamous cell carcinoma available as GEO accession [GSE103322] (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE103322). GSE103322 data have been parsed into a SincleCellExperiment object available in ExperimentHub.

package bioconductor-gse103322

(downloads) docker_bioconductor-gse103322

versions:

1.8.0-01.6.0-01.4.0-01.0.0-11.0.0-0

depends bioconductor-biobase:

>=2.62.0,<2.63.0

depends bioconductor-data-packages:

>=20231203

depends bioconductor-geoquery:

>=2.70.0,<2.71.0

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-gse103322

and update with::

   mamba update bioconductor-gse103322

To create a new environment, run:

mamba create --name myenvname bioconductor-gse103322

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-gse103322:<tag>

(see `bioconductor-gse103322/tags`_ for valid values for ``<tag>``)

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