recipe bioconductor-s4arrays

Foundation of array-like containers in Bioconductor

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/S4Arrays.html

License:

Artistic-2.0

Recipe:

/bioconductor-s4arrays/meta.yaml

The S4Arrays package defines the Array virtual class to be extended by other S4 classes that wish to implement a container with an array-like semantic. It also provides: (1) low-level functionality meant to help the developer of such container to implement basic operations like display, subsetting, or coercion of their array-like objects to an ordinary matrix or array, and (2) a framework that facilitates block processing of array-like objects (typically on-disk objects).

package bioconductor-s4arrays

versions:

1.6.0-0,  1.2.0-2,  1.2.0-1,  1.2.0-0,  1.0.4-0

depends bioconductor-biocgenerics:

>=0.52.0,<0.53.0

depends bioconductor-biocgenerics:

>=0.52.0,<0.53.0a0

depends bioconductor-iranges:

>=2.40.0,<2.41.0

depends bioconductor-iranges:

>=2.40.0,<2.41.0a0

depends bioconductor-s4vectors:

>=0.44.0,<0.45.0

depends bioconductor-s4vectors:

>=0.44.0,<0.45.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc:

>=13

depends liblapack:

>=3.9.0,<4.0a0

depends r-abind:

depends r-base:

>=4.4,<4.5.0a0

depends r-crayon:

depends r-matrix:

requirements:

additional platforms:

linux-aarch64

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-s4arrays

and update with::

   mamba update bioconductor-s4arrays

To create a new environment, run:

mamba create --name myenvname bioconductor-s4arrays

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-s4arrays:<tag>

(see `bioconductor-s4arrays/tags`_ for valid values for ``<tag>``)

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