recipe bioconductor-aspli

Analysis of Alternative Splicing Using RNA-Seq







biotools: aspli, doi: 10.1038/nmeth.3252

Integrative pipeline for the analysis of alternative splicing using RNAseq.

package bioconductor-aspli

(downloads) docker_bioconductor-aspli



depends bioconductor-annotationdbi:


depends bioconductor-biocgenerics:


depends bioconductor-biocstyle:


depends bioconductor-edger:


depends bioconductor-genomicalignments:


depends bioconductor-genomicfeatures:


depends bioconductor-genomicranges:


depends bioconductor-gviz:


depends bioconductor-iranges:


depends bioconductor-limma:


depends bioconductor-rsamtools:


depends bioconductor-s4vectors:


depends r-base:


depends r-data.table:

depends r-dt:

depends r-htmltools:

depends r-igraph:

depends r-mass:

depends r-pbmcapply:

depends r-tidyr:

depends r-upsetr:



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-aspli

and update with::

   mamba update bioconductor-aspli

To create a new environment, run:

mamba create --name myenvname bioconductor-aspli

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

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