- 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:
- 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:
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¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-streamer/README.html)