recipe rmats-long

rMATS-long is an integrated computational workflow for long-read RNA-seq data

Homepage:

https://github.com/Xinglab/rMATS-long

License:

Free for non-commercial use, see LICENSE file

Recipe:

/rmats-long/meta.yaml

package rmats-long

versions:

1.0.0-0

depends bioconductor-biocparallel:

depends bioconductor-drimseq:

depends matplotlib-base:

depends networkx:

depends numpy:

depends pandas:

depends python:

>=3.6

depends r-base:

depends r-cowplot:

depends r-ggplot2:

depends r-stringi:

>=1.7.8

requirements:

additional platforms:

Installation

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 rmats-long

and update with::

   mamba update rmats-long

To create a new environment, run:

mamba create --name myenvname rmats-long

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 quay.io/biocontainers/rmats-long:<tag>

(see `rmats-long/tags`_ for valid values for ``<tag>``)

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