recipe bioconductor-delayedarray

A unified framework for working transparently with on-disk and in-memory array-like datasets






Wrapping an array-like object (typically an on-disk object) in a DelayedArray object allows one to perform common array operations on it without loading the object in memory. In order to reduce memory usage and optimize performance, operations on the object are either delayed or executed using a block processing mechanism. Note that this also works on in-memory array-like objects like DataFrame objects (typically with Rle columns), Matrix objects, ordinary arrays and, data frames.

package bioconductor-delayedarray

(downloads) docker_bioconductor-delayedarray



depends bioconductor-biocgenerics:


depends bioconductor-biocgenerics:


depends bioconductor-iranges:


depends bioconductor-iranges:


depends bioconductor-matrixgenerics:


depends bioconductor-matrixgenerics:


depends bioconductor-s4arrays:


depends bioconductor-s4arrays:


depends bioconductor-s4vectors:


depends bioconductor-s4vectors:


depends bioconductor-sparsearray:


depends bioconductor-sparsearray:


depends libblas:


depends libgcc-ng:


depends liblapack:


depends r-base:


depends r-matrix:



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-delayedarray

and update with::

   mamba update bioconductor-delayedarray

To create a new environment, run:

mamba create --name myenvname bioconductor-delayedarray

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<tag>

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

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