recipe bioconductor-rnaeditr

Statistical analysis of RNA editing sites and hyper-editing regions






RNAeditr analyzes site-specific RNA editing events, as well as hyper-editing regions. The editing frequencies can be tested against binary, continuous or survival outcomes. Multiple covariate variables as well as interaction effects can also be incorporated in the statistical models.

package bioconductor-rnaeditr

(downloads) docker_bioconductor-rnaeditr



depends bioconductor-biocgenerics:


depends bioconductor-bumphunter:


depends bioconductor-genomeinfodb:


depends bioconductor-genomicranges:


depends bioconductor-iranges:


depends bioconductor-s4vectors:


depends r-base:


depends r-corrplot:

depends r-logistf:

depends r-plyr:

depends r-survival:



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-rnaeditr

and update with::

   mamba update bioconductor-rnaeditr

To create a new environment, run:

mamba create --name myenvname bioconductor-rnaeditr

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

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