recipe bioconductor-rhdf5filters

HDF5 Compression Filters

Homepage:

https://bioconductor.org/packages/3.20/bioc/html/rhdf5filters.html

License:

BSD_2_clause + file LICENSE

Recipe:

/bioconductor-rhdf5filters/meta.yaml

Links:

biotools: rhdf5filters

Provides a collection of additional compression filters for HDF5 datasets. The package is intended to provide seemless integration with rhdf5, however the compiled filters can also be used with external applications.

package bioconductor-rhdf5filters

(downloads) docker_bioconductor-rhdf5filters

versions:
1.18.0-1,  1.18.0-0,  1.14.1-1,  1.14.1-0,  1.12.1-1,  1.12.1-0,  1.10.0-1,  1.10.0-0,  1.6.0-2, 

1.18.0-1,  1.18.0-0,  1.14.1-1,  1.14.1-0,  1.12.1-1,  1.12.1-0,  1.10.0-1,  1.10.0-0,  1.6.0-2,  1.6.0-1,  1.6.0-0,  1.4.0-0,  1.2.0-1,  1.2.0-0,  1.0.0-0

depends bioconductor-rhdf5lib:

>=1.28.0,<1.29.0

depends bioconductor-rhdf5lib:

>=1.28.0,<1.29.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc:

>=13

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx:

>=13

depends libzlib:

>=1.3.1,<2.0a0

depends r-base:

>=4.4,<4.5.0a0

requirements:

additional platforms:
linux-aarch64,  osx-arm64

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-rhdf5filters

and update with::

   mamba update bioconductor-rhdf5filters

To create a new environment, run:

mamba create --name myenvname bioconductor-rhdf5filters

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-rhdf5filters:<tag>

(see `bioconductor-rhdf5filters/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an install-with-bioconda badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-rhdf5filters/README.html)