recipe bioconductor-mirnatap

miRNAtap: microRNA Targets - Aggregated Predictions







biotools: mirnatap, doi: 10.1038/nmeth.3252

The package facilitates implementation of workflows requiring miRNA predictions, it allows to integrate ranked miRNA target predictions from multiple sources available online and aggregate them with various methods which improves quality of predictions above any of the single sources. Currently predictions are available for Homo sapiens, Mus musculus and Rattus norvegicus (the last one through homology translation).

package bioconductor-mirnatap

(downloads) docker_bioconductor-mirnatap



depends bioconductor-annotationdbi:


depends r-base:


depends r-dbi:

depends r-plyr:

depends r-rsqlite:

depends r-sqldf:

depends r-stringr:



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-mirnatap

and update with::

   mamba update bioconductor-mirnatap

To create a new environment, run:

mamba create --name myenvname bioconductor-mirnatap

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

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