-
recipe
bioconductor-hdf5array
HDF5 backend for DelayedArray objects
- Homepage
https://bioconductor.org/packages/3.12/bioc/html/HDF5Array.html
- License
Artistic-2.0
- Recipe
- Links
biotools: hdf5array, doi: 10.1038/nmeth.3252
Implements the HDF5Array and TENxMatrix classes, 2 convenient and memory-efficient array-like containers for on-disk representation of HDF5 datasets. HDF5Array is for datasets that use the conventional (i.e. dense) HDF5 representation. TENxMatrix is for datasets that use the HDF5-based sparse matrix representation from 10x Genomics (e.g. the 1.3 Million Brain Cell Dataset). Both containers being DelayedArray extensions, they support all operations supported by DelayedArray objects. These operations can be either delayed or block-processed.
-
package
bioconductor-hdf5array
¶ -
- Versions
1.18.0-0
,1.16.0-0
,1.14.0-0
,1.12.1-0
,1.10.1-0
,1.8.1-0
,1.6.0-0
- Depends
bioconductor-biocgenerics
>=0.36.0,<0.37.0
bioconductor-delayedarray
>=0.16.0,<0.17.0
bioconductor-iranges
>=2.24.0,<2.25.0
bioconductor-rhdf5
>=2.34.0,<2.35.0
bioconductor-rhdf5lib
>=1.12.0,<1.13.0
bioconductor-s4vectors
>=0.28.0,<0.29.0
libblas
>=3.8.0,<4.0a0
libgcc-ng
>=7.5.0
liblapack
>=3.8.0,<4.0a0
r-base
>=4.0,<4.1.0a0
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-hdf5array
and update with:
conda update bioconductor-hdf5array
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-hdf5array:<tag>
(see bioconductor-hdf5array/tags for valid values for
<tag>
)
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-hdf5array/README.html)