recipe bioconductor-bumpymatrix

Bumpy Matrix of Non-Scalar Objects

Homepage:

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

License:

MIT + file LICENSE

Recipe:

/bioconductor-bumpymatrix/meta.yaml

Implements the BumpyMatrix class and several subclasses for holding non-scalar objects in each entry of the matrix. This is akin to a ragged array but the raggedness is in the third dimension, much like a bumpy surface - hence the name. Of particular interest is the BumpyDataFrameMatrix, where each entry is a Bioconductor data frame. This allows us to naturally represent multivariate data in a format that is compatible with two-dimensional containers like the SummarizedExperiment and MultiAssayExperiment objects.

package bioconductor-bumpymatrix

(downloads) docker_bioconductor-bumpymatrix

versions:

1.14.0-01.10.0-01.8.0-01.6.0-01.2.0-01.0.0-0

depends bioconductor-iranges:

>=2.40.0,<2.41.0

depends bioconductor-s4vectors:

>=0.44.0,<0.45.0

depends r-base:

>=4.4,<4.5.0a0

depends r-matrix:

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-bumpymatrix

and update with::

   mamba update bioconductor-bumpymatrix

To create a new environment, run:

mamba create --name myenvname bioconductor-bumpymatrix

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-bumpymatrix:<tag>

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

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