recipe bioconductor-rhdf5

R Interface to HDF5

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/rhdf5.html

License:

Artistic-2.0

Recipe:

/bioconductor-rhdf5/meta.yaml

Links:

biotools: rhdf5

This package provides an interface between HDF5 and R. HDF5's main features are the ability to store and access very large and/or complex datasets and a wide variety of metadata on mass storage (disk) through a completely portable file format. The rhdf5 package is thus suited for the exchange of large and/or complex datasets between R and other software package, and for letting R applications work on datasets that are larger than the available RAM.

package bioconductor-rhdf5

versions:

2.46.1-1,  2.46.1-0,  2.44.0-1,  2.44.0-0,  2.42.0-2,  2.42.0-1,  2.42.0-0,  2.38.1-0,  2.38.0-2, 

2.46.1-1,  2.46.1-0,  2.44.0-1,  2.44.0-0,  2.42.0-2,  2.42.0-1,  2.42.0-0,  2.38.1-0,  2.38.0-2,  2.38.0-1,  2.36.0-2,  2.34.0-1,  2.34.0-0,  2.32.0-0,  2.30.0-0,  2.28.0-1,  2.28.0-0,  2.26.2-2,  2.26.2-1,  2.26.2-0,  2.26.1-0,  2.26.0-2,  2.26.0-1,  2.26.0-0,  2.24.0-0,  2.22.0-0,  2.20.0-1,  2.20.0-0,  2.16.0-1,  2.16.0-0,  2.14.0-1,  2.14.0-0,  2.12.0-0

depends bioconductor-rhdf5filters:

>=1.14.0,<1.15.0

depends bioconductor-rhdf5filters:

>=1.14.1,<1.15.0a0

depends bioconductor-rhdf5lib:

>=1.24.0,<1.25.0

depends bioconductor-rhdf5lib:

>=1.24.0,<1.25.0a0

depends bioconductor-s4vectors:

>=0.40.0,<0.41.0

depends bioconductor-s4vectors:

>=0.40.2,<0.41.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc-ng:

>=12

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx-ng:

>=12

depends r-base:

>=4.3,<4.4.0a0

requirements:

Installation

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-rhdf5

and update with::

   mamba update bioconductor-rhdf5

To create a new environment, run:

mamba create --name myenvname bioconductor-rhdf5

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 quay.io/biocontainers/bioconductor-rhdf5:<tag>

(see `bioconductor-rhdf5/tags`_ for valid values for ``<tag>``)

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