- recipe bioconductor-streamer
Enabling stream processing of large files
Large data files can be difficult to work with in R, where data generally resides in memory. This package encourages a style of programming where data is 'streamed' from disk into R via a `producer' and through a series of `consumers' that, typically reduce the original data to a manageable size. The package provides useful Producer and Consumer stream components for operations such as data input, sampling, indexing, and transformation; see package?Streamer for details.
- package bioconductor-streamer¶
- depends bioconductor-biocgenerics:
- depends bioconductor-graph:
- depends bioconductor-rbgl:
- depends libblas:
- depends libgcc-ng:
- depends liblapack:
- depends r-base:
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-streamer and update with:: mamba update bioconductor-streamer
To create a new environment, run:
mamba create --name myenvname bioconductor-streamer
myenvnamebeing 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-streamer:<tag> (see `bioconductor-streamer/tags`_ for valid values for ``<tag>``)