recipe bioconductor-m6aboost







This package can help user to run the m6Aboost model on their own miCLIP2 data. The package includes functions to assign the read counts and get the features to run the m6Aboost model. The miCLIP2 data should be stored in a GRanges object. More details can be found in the vignette.

package bioconductor-m6aboost

(downloads) docker_bioconductor-m6aboost



depends bioconductor-biostrings:


depends bioconductor-bsgenome:


depends bioconductor-experimenthub:


depends bioconductor-genomicranges:


depends bioconductor-iranges:


depends bioconductor-rtracklayer:


depends bioconductor-s4vectors:


depends r-adabag:

depends r-base:


depends r-dplyr:



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-m6aboost

and update with::

   mamba update bioconductor-m6aboost

To create a new environment, run:

mamba create --name myenvname bioconductor-m6aboost

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-m6aboost/tags`_ for valid values for ``<tag>``)

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