recipe kggseq

KGGSeq is a software platform constituted of Bioinformatics and statistical genetics functions making use of valuable biologic resources and knowledge for sequencing-based genetic mapping of variants/genes responsible for human diseases/traits.

Homepage:

http://grass.cgs.hku.hk/limx/kggseq/

License:

APACHE / Apache License 2.0

Recipe:

/kggseq/meta.yaml

package kggseq

(downloads) docker_kggseq

versions:

1.1-0

depends openjdk:

>=8

requirements:

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 kggseq

and update with::

   mamba update kggseq

To create a new environment, run:

mamba create --name myenvname kggseq

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/kggseq:<tag>

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

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

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