recipe bioconductor-brendadb

The BRENDA Enzyme Database

Homepage:

https://bioconductor.org/packages/3.17/bioc/html/brendaDb.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-brendadb/meta.yaml

R interface for importing and analyzing enzyme information from the BRENDA database.

package bioconductor-brendadb

versions:

1.16.0-0,  1.14.0-0,  1.11.0-1,  1.11.0-0,  1.8.0-2,  1.8.0-1,  1.8.0-0,  1.6.0-0,  1.4.0-1, 

1.16.0-0,  1.14.0-0,  1.11.0-1,  1.11.0-0,  1.8.0-2,  1.8.0-1,  1.8.0-0,  1.6.0-0,  1.4.0-1,  1.4.0-0,  1.2.0-0,  1.0.0-0

depends __osx:

>=10.9

depends bioconductor-biocfilecache:

>=2.10.0,<2.11.0

depends bioconductor-biocfilecache:

>=2.10.1,<2.11.0a0

depends bioconductor-biocparallel:

>=1.36.0,<1.37.0

depends bioconductor-biocparallel:

>=1.36.0,<1.37.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libcxx:

>=15.0.7

depends liblapack:

>=3.9.0,<4.0a0

depends r-base:

>=4.3,<4.4.0a0

depends r-crayon:

depends r-dplyr:

depends r-magrittr:

depends r-purrr:

depends r-rappdirs:

depends r-rcpp:

depends r-rlang:

depends r-stringr:

depends r-tibble:

depends r-tidyr:

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-brendadb

and update with::

   mamba update bioconductor-brendadb

To create a new environment, run:

mamba create --name myenvname bioconductor-brendadb

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-brendadb:<tag>

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

Download stats

Link to this page

Render an 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-brendadb/README.html)