recipe bioconductor-tabulamurissenisdata

Bulk and single-cell RNA-seq data from the Tabula Muris Senis project

Homepage:

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

License:

MIT + file LICENSE

Recipe:

/bioconductor-tabulamurissenisdata/meta.yaml

This package provides access to RNA-seq data generated by the Tabula Muris Senis project via the Bioconductor project. The data is made available without restrictions by the Chan Zuckerberg Biohub. It is provided here without further processing, collected in the form of SingleCellExperiment objects.

package bioconductor-tabulamurissenisdata

(downloads) docker_bioconductor-tabulamurissenisdata

versions:

1.8.0-01.6.0-01.4.0-01.0.0-11.0.0-0

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-hdf5array:

>=1.30.0,<1.31.0

depends bioconductor-singlecellexperiment:

>=1.24.0,<1.25.0

depends bioconductor-summarizedexperiment:

>=1.32.0,<1.33.0

depends curl:

depends r-base:

>=4.3,<4.4.0a0

depends r-gdata:

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-tabulamurissenisdata

and update with::

   mamba update bioconductor-tabulamurissenisdata

To create a new environment, run:

mamba create --name myenvname bioconductor-tabulamurissenisdata

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-tabulamurissenisdata:<tag>

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

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