recipe plncpro

PlncPRO is a program to predict long non-coding (lncRNAs) transcripts using Random Forests.

Homepage:

https://github.com/urmi-21/PLncPRO

License:

GNU General Public License

Recipe:

/plncpro/meta.yaml

Links:

doi: 10.1093/nar/gkx866

package plncpro

versions:

1.2.2-7,  1.2.2-6,  1.2.2-5,  1.2.2-4,  1.2.2-3,  1.2.2-2,  1.2.2-1,  1.2.2-0

depends biopython:

depends libgcc:

>=13

depends libstdcxx:

>=13

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

depends regex:

depends scikit-learn:

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 plncpro

and update with::

   mamba update plncpro

To create a new environment, run:

mamba create --name myenvname plncpro

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/plncpro:<tag>

(see `plncpro/tags`_ for valid values for ``<tag>``)

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