recipe bioconductor-simbenchdata

SimBenchData: a collection of 35 single-cell RNA-seq data covering a wide range of data characteristics

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-simbenchdata/meta.yaml

The SimBenchData package contains a total of 35 single-cell RNA-seq datasets covering a wide range of data characteristics, including major sequencing protocols, multiple tissue types, and both human and mouse sources.

package bioconductor-simbenchdata

(downloads) docker_bioconductor-simbenchdata

versions:

1.10.0-01.8.0-01.6.0-01.2.0-11.2.0-01.0.0-0

depends bioconductor-data-packages:

>=20231203

depends bioconductor-experimenthub:

>=2.10.0,<2.11.0

depends bioconductor-s4vectors:

>=0.40.0,<0.41.0

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-simbenchdata

and update with::

   mamba update bioconductor-simbenchdata

To create a new environment, run:

mamba create --name myenvname bioconductor-simbenchdata

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-simbenchdata:<tag>

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

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