recipe bioconductor-gopro

Find the most characteristic gene ontology terms for groups of human genes

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/GOpro.html

License:

GPL-3

Recipe:

/bioconductor-gopro/meta.yaml

Find the most characteristic gene ontology terms for groups of human genes. This package was created as a part of the thesis which was developed under the auspices of MI^2 Group (http://mi2.mini.pw.edu.pl/, https://github.com/geneticsMiNIng).

package bioconductor-gopro

versions:

1.28.0-0,  1.26.0-0,  1.24.0-1,  1.24.0-0,  1.20.0-2,  1.20.0-1,  1.20.0-0,  1.18.0-0,  1.16.0-1, 

1.28.0-0,  1.26.0-0,  1.24.0-1,  1.24.0-0,  1.20.0-2,  1.20.0-1,  1.20.0-0,  1.18.0-0,  1.16.0-1,  1.16.0-0,  1.14.0-0,  1.12.0-0,  1.10.0-1,  1.8.0-0

depends bioconductor-annotationdbi:

>=1.64.0,<1.65.0

depends bioconductor-annotationdbi:

>=1.64.1,<1.65.0a0

depends bioconductor-go.db:

>=3.18.0,<3.19.0

depends bioconductor-go.db:

>=3.18.0,<3.19.0a0

depends bioconductor-iranges:

>=2.36.0,<2.37.0

depends bioconductor-iranges:

>=2.36.0,<2.37.0a0

depends bioconductor-multiassayexperiment:

>=1.28.0,<1.29.0

depends bioconductor-multiassayexperiment:

>=1.28.0,<1.29.0a0

depends bioconductor-org.hs.eg.db:

>=3.18.0,<3.19.0

depends bioconductor-org.hs.eg.db:

>=3.18.0,<3.19.0a0

depends bioconductor-s4vectors:

>=0.40.0,<0.41.0

depends bioconductor-s4vectors:

>=0.40.2,<0.41.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc-ng:

>=12

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx-ng:

>=12

depends r-base:

>=4.3,<4.4.0a0

depends r-bh:

depends r-dendextend:

depends r-doparallel:

depends r-foreach:

depends r-rcpp:

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 bioconductor-gopro

and update with::

   mamba update bioconductor-gopro

To create a new environment, run:

mamba create --name myenvname bioconductor-gopro

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/bioconductor-gopro:<tag>

(see `bioconductor-gopro/tags`_ for valid values for ``<tag>``)

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