recipe bioconductor-biocpkgtools

Collection of simple tools for learning about Bioconductor Packages






Bioconductor has a rich ecosystem of metadata around packages, usage, and build status. This package is a simple collection of functions to access that metadata from R. The goal is to expose metadata for data mining and value-added functionality such as package searching, text mining, and analytics on packages.

package bioconductor-biocpkgtools

(downloads) docker_bioconductor-biocpkgtools



depends bioconductor-biocfilecache:


depends bioconductor-biocviews:


depends bioconductor-graph:


depends bioconductor-rbgl:


depends r-base:


depends r-biocmanager:

depends r-dplyr:

depends r-dt:

depends r-gh:

depends r-htmltools:

depends r-htmlwidgets:

depends r-httr:

depends r-igraph:

depends r-jsonlite:

depends r-magrittr:

depends r-readr:

depends r-rlang:

depends r-rorcid:

depends r-rvest:

depends r-stringr:

depends r-tibble:

depends r-xml2:



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-biocpkgtools

and update with::

   mamba update bioconductor-biocpkgtools

To create a new environment, run:

mamba create --name myenvname bioconductor-biocpkgtools

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<tag>

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

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