recipe bioconductor-anndatar

AnnData interoperability in R

Homepage:

https://bioconductor.org/packages/3.22/bioc/html/anndataR.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-anndatar/meta.yaml

Bring the power and flexibility of AnnData to the R ecosystem, allowing you to effortlessly manipulate and analyse your single-cell data. This package lets you work with backed h5ad and zarr files, directly access various slots (e.g. X, obs, var), or convert the data into SingleCellExperiment and Seurat objects.

package bioconductor-anndatar

(downloads) docker_bioconductor-anndatar

versions:

1.0.0-0

depends r-base:

>=4.5,<4.6.0a0

depends r-cli:

depends r-lifecycle:

depends r-matrix:

depends r-purrr:

depends r-r6:

>=2.4.0

depends r-reticulate:

>=1.41.1

depends r-rlang:

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-anndatar

and update with::

   mamba update bioconductor-anndatar

To create a new environment, run:

mamba create --name myenvname bioconductor-anndatar

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-anndatar:<tag>

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

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