recipe bioconductor-streamer

Enabling stream processing of large files

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/Streamer.html

License:

Artistic-2.0

Recipe:

/bioconductor-streamer/meta.yaml

Links:

biotools: streamer, doi: 10.1038/nmeth.3252

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

Versions:

1.44.0-1,  1.44.0-0,  1.40.0-2,  1.40.0-1,  1.40.0-0,  1.38.0-0,  1.36.0-1,  1.36.0-0,  1.34.0-0, 

1.44.0-1,  1.44.0-0,  1.40.0-2,  1.40.0-1,  1.40.0-0,  1.38.0-0,  1.36.0-1,  1.36.0-0,  1.34.0-0,  1.32.0-0,  1.30.0-1,  1.28.0-0,  1.26.0-0,  1.24.0-0,  1.22.0-0

Depends:

• bioconductor-biocgenerics >=0.44.0,<0.45.0

• bioconductor-graph >=1.76.0,<1.77.0

• bioconductor-rbgl >=1.74.0,<1.75.0

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• r-base >=4.2,<4.3.0a0

Required By:

• bioconductor-plethy

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-streamer

and update with:

conda update bioconductor-streamer

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-streamer:<tag>

(see bioconductor-streamer/tags for valid values for <tag>)

Download stats

Link to this page

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