recipe bioconductor-enrichmentbrowser

Seamless navigation through combined results of set-based and network-based enrichment analysis

Homepage:

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

License:

Artistic-2.0

Recipe:

/bioconductor-enrichmentbrowser/meta.yaml

The EnrichmentBrowser package implements essential functionality for the enrichment analysis of gene expression data. The analysis combines the advantages of set-based and network-based enrichment analysis in order to derive high-confidence gene sets and biological pathways that are differentially regulated in the expression data under investigation. Besides, the package facilitates the visualization and exploration of such sets and pathways.

package bioconductor-enrichmentbrowser

(downloads) docker_bioconductor-enrichmentbrowser

versions:
2.32.0-02.30.1-02.28.0-02.24.0-02.22.0-02.20.7-02.20.0-02.18.0-02.16.0-0

2.32.0-02.30.1-02.28.0-02.24.0-02.22.0-02.20.7-02.20.0-02.18.0-02.16.0-02.14.3-02.12.0-02.10.11-0

depends bioconductor-annotationdbi:

>=1.64.0,<1.65.0

depends bioconductor-biocfilecache:

>=2.10.0,<2.11.0

depends bioconductor-edger:

>=4.0.0,<4.1.0

depends bioconductor-go.db:

>=3.18.0,<3.19.0

depends bioconductor-graph:

>=1.80.0,<1.81.0

depends bioconductor-graphite:

>=1.48.0,<1.49.0

depends bioconductor-gseabase:

>=1.64.0,<1.65.0

depends bioconductor-kegggraph:

>=1.62.0,<1.63.0

depends bioconductor-keggrest:

>=1.42.0,<1.43.0

depends bioconductor-limma:

>=3.58.0,<3.59.0

depends bioconductor-pathview:

>=1.42.0,<1.43.0

depends bioconductor-rgraphviz:

>=2.46.0,<2.47.0

depends bioconductor-s4vectors:

>=0.40.0,<0.41.0

depends bioconductor-safe:

>=3.42.0,<3.43.0

depends bioconductor-spia:

>=2.54.0,<2.55.0

depends bioconductor-summarizedexperiment:

>=1.32.0,<1.33.0

depends r-base:

>=4.3,<4.4.0a0

depends r-biocmanager:

depends r-hwriter:

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-enrichmentbrowser

and update with::

   mamba update bioconductor-enrichmentbrowser

To create a new environment, run:

mamba create --name myenvname bioconductor-enrichmentbrowser

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-enrichmentbrowser:<tag>

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

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