recipe bioconductor-biobroom

Turn Bioconductor objects into tidy data frames






This package contains methods for converting standard objects constructed by bioinformatics packages, especially those in Bioconductor, and converting them to tidy data. It thus serves as a complement to the broom package, and follows the same the tidy, augment, glance division of tidying methods. Tidying data makes it easy to recombine, reshape and visualize bioinformatics analyses.

package bioconductor-biobroom

(downloads) docker_bioconductor-biobroom



depends bioconductor-biobase:


depends r-base:


depends r-broom:

depends r-dplyr:

depends r-tidyr:



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-biobroom

and update with::

   mamba update bioconductor-biobroom

To create a new environment, run:

mamba create --name myenvname bioconductor-biobroom

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-biobroom/tags`_ for valid values for ``<tag>``)

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