recipe bioconductor-rarr

Read Zarr Files in R

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/Rarr.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-rarr/meta.yaml

The Zarr specification defines a format for chunked, compressed, N-dimensional arrays. It's design allows efficient access to subsets of the stored array, and supports both local and cloud storage systems. Rarr aims to implement this specifcation in R with minimal reliance on an external tools or libraries.

package bioconductor-rarr

(downloads) docker_bioconductor-rarr

versions:

1.2.0-01.0.0-0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc-ng:

>=12

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx-ng:

>=12

depends r-base:

>=4.3,<4.4.0a0

depends r-httr:

depends r-jsonlite:

depends r-paws.storage:

depends r-r.utils:

depends r-stringr:

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-rarr

and update with::

   mamba update bioconductor-rarr

To create a new environment, run:

mamba create --name myenvname bioconductor-rarr

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-rarr:<tag>

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

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