recipe bioconductor-tenxbraindata

Data from the 10X 1.3 Million Brain Cell Study

Homepage:

https://bioconductor.org/packages/3.20/data/experiment/html/TENxBrainData.html

License:

CC BY 4.0

Recipe:

/bioconductor-tenxbraindata/meta.yaml

Single-cell RNA-seq data for 1.3 million brain cells from E18 mice, generated by 10X Genomics.

package bioconductor-tenxbraindata

versions:

1.26.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-0,  1.14.0-1,  1.14.0-0,  1.12.0-0,  1.10.0-1,  1.10.0-0, 

1.26.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-0,  1.14.0-1,  1.14.0-0,  1.12.0-0,  1.10.0-1,  1.10.0-0,  1.8.0-0,  1.6.0-0,  1.4.0-1,  1.2.0-0

depends bioconductor-annotationhub:

>=3.14.0,<3.15.0

depends bioconductor-data-packages:

>=20241103

depends bioconductor-experimenthub:

>=2.14.0,<2.15.0

depends bioconductor-hdf5array:

>=1.34.0,<1.35.0

depends bioconductor-singlecellexperiment:

>=1.28.0,<1.29.0

depends curl:

depends r-base:

>=4.4,<4.5.0a0

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-tenxbraindata

and update with::

   mamba update bioconductor-tenxbraindata

To create a new environment, run:

mamba create --name myenvname bioconductor-tenxbraindata

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-tenxbraindata:<tag>

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

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