recipe ls-gkm

gkm-SVM, a sequence-based method for predicting regulatory DNA elements.

Homepage:

https://github.com/Dongwon-Lee/lsgkm

Documentation:

https://github.com/Dongwon-Lee/lsgkm/blob/v0.1.1/README.md

License:

GPL3 / GPL-3.0-or-later

Recipe:

/ls-gkm/meta.yaml

Links:

doi: 10.1371/journal.pcbi.1003711, doi: 10.1093/bioinformatics/btw142

package ls-gkm

versions:

0.1.1-0,  0.0.1-1,  0.0.1-0

depends libgcc:

>=13

depends libstdcxx:

>=13

requirements:

additional platforms:

linux-aarch64,  osx-arm64

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 ls-gkm

and update with::

   mamba update ls-gkm

To create a new environment, run:

mamba create --name myenvname ls-gkm

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/ls-gkm:<tag>

(see `ls-gkm/tags`_ for valid values for ``<tag>``)

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Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/ls-gkm/README.html)