recipe bioconductor-branchpointer

Prediction of intronic splicing branchpoints



BSD_3_clause + file LICENSE



Predicts branchpoint probability for sites in intronic branchpoint windows. Queries can be supplied as intronic regions; or to evaluate the effects of mutations, SNPs.

package bioconductor-branchpointer

(downloads) docker_bioconductor-branchpointer



depends bioconductor-biomart:


depends bioconductor-biostrings:


depends bioconductor-bsgenome.hsapiens.ucsc.hg38:


depends bioconductor-genomeinfodb:


depends bioconductor-genomicranges:


depends bioconductor-iranges:


depends bioconductor-rtracklayer:


depends bioconductor-s4vectors:


depends r-base:


depends r-caret:

depends r-cowplot:

depends r-data.table:

depends r-gbm:

depends r-ggplot2:

depends r-kernlab:

depends r-plyr:

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-branchpointer

and update with::

   mamba update bioconductor-branchpointer

To create a new environment, run:

mamba create --name myenvname bioconductor-branchpointer

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

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