- recipe bioconductor-mgsa
Model-based gene set analysis
- Homepage:
- License:
Artistic-2.0
- Recipe:
- Links:
biotools: mgsa, doi: 10.1093/nar/gkq045
Model-based Gene Set Analysis (MGSA) is a Bayesian modeling approach for gene set enrichment. The package mgsa implements MGSA and tools to use MGSA together with the Gene Ontology.
- package bioconductor-mgsa¶
- versions:
1.50.0-2
,1.50.0-1
,1.50.0-0
,1.48.0-0
,1.46.0-2
,1.46.0-1
,1.46.0-0
,1.42.0-2
,1.42.0-1
,1.50.0-2
,1.50.0-1
,1.50.0-0
,1.48.0-0
,1.46.0-2
,1.46.0-1
,1.46.0-0
,1.42.0-2
,1.42.0-1
,1.42.0-0
,1.40.0-0
,1.38.0-1
,1.38.0-0
,1.36.0-0
,1.34.0-0
,1.32.0-1
,1.32.0-0
,1.30.0-0
,1.28.0-0
,1.26.0-0
,1.24.0-0
- depends libblas:
>=3.9.0,<4.0a0
- depends libgcc-ng:
>=12
- depends liblapack:
>=3.9.0,<4.0a0
- depends r-base:
>=4.3,<4.4.0a0
- depends r-gplots:
- 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 bioconductor-mgsa and update with:: mamba update bioconductor-mgsa
To create a new environment, run:
mamba create --name myenvname bioconductor-mgsa
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-mgsa:<tag> (see `bioconductor-mgsa/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
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