recipe bioconductor-organism.dplyr

dplyr-based Access to Bioconductor Annotation Resources






This package provides an alternative interface to Bioconductor 'annotation' resources, in particular the gene identifier mapping functionality of the 'org' packages (e.g., and the genome coordinate functionality of the 'TxDb' packages (e.g., TxDb.Hsapiens.UCSC.hg38.knownGene).

package bioconductor-organism.dplyr

(downloads) docker_bioconductor-organism.dplyr



depends bioconductor-annotationdbi:


depends bioconductor-annotationfilter:


depends bioconductor-biocfilecache:


depends bioconductor-genomeinfodb:


depends bioconductor-genomicfeatures:


depends bioconductor-genomicranges:


depends bioconductor-iranges:


depends bioconductor-s4vectors:


depends r-base:


depends r-dbi:

depends r-dbplyr:

depends r-dplyr:


depends r-rlang:

depends r-rsqlite:

depends r-tibble:



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-organism.dplyr

and update with::

   mamba update bioconductor-organism.dplyr

To create a new environment, run:

mamba create --name myenvname bioconductor-organism.dplyr

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-organism.dplyr/tags`_ for valid values for ``<tag>``)

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