v1.3.2

Depends: R (>= 4.2.0)

This package enables the visualization of functional enrichment results as network graphs. First the package enables the visualization of enrichment results, in a format corresponding to the one generated by gprofiler2, as a customizable Cytoscape network. In those networks, both gene datasets (GO terms/pathways/protein complexes) and genes associated to the datasets are represented as nodes. While the edges connect each gene to its dataset(s). The package also provides the option to create enrichment maps from functional enrichment results. Enrichment maps enable the visualization of enriched terms into a network with edges connecting overlapping genes.

Maintainer: Astrid Deschênes

v1.1.1

Depends: R (>= 4.2.0)

This package enables the visualization of functional enrichment results as network graphs. First the package enables the visualization of enrichment results, in a format corresponding to the one generated by gprofiler2, as a customizable Cytoscape network. In those networks, both gene datasets (GO terms/pathways/protein complexes) and genes associated to the datasets are represented as nodes. While the edges connect each gene to its dataset(s). The package also provides the option to create enrichment maps from functional enrichment results. Enrichment maps enable the visualization of enriched terms into a network with edges connecting overlapping genes.

Maintainer: Astrid Deschênes

v0.99.2

Depends: R (>= 4.2.0)

This package enables the visualization of functional enrichment results as network graphs. First the package enables the visualization of enrichment results, in a format corresponding to the one generated by gprofiler2, as a customizable Cytoscape network. In those networks, both gene datasets (GO terms/pathways/protein complexes) and genes associated to the datasets are represented as nodes. While the edges connect each gene to its dataset(s). The package also provides the option to create enrichment maps from functional enrichment results. Enrichment maps enable the visualization of enriched terms into a network with edges connecting overlapping genes.

Maintainer: Astrid Deschênes

Release v0.99.1

Depends: R (>= 4.2.0)

This package enables the visualization of functional enrichment results as network graphs. First the package enables the visualization of enrichment results, in a format corresponding to the one generated by gprofiler2, as a customizable Cytoscape network. In those networks, both gene datasets (GO terms/pathways/protein complexes) and genes associated to the datasets are represented as nodes. While the edges connect each gene to its dataset(s). The package also provides the option to create enrichment maps from functional enrichment results. Enrichment maps enable the visualization of enriched terms into a network with edges connecting overlapping genes.

Maintainer: Astrid Deschênes

Release v0.99.0

Depends: R (>= 4.0.2)

This package enables the visualization of functional enrichment results as network graphs. First the package enables the visualization of enrichment results, in a format corresponding to the one generated by gprofiler2, as a customizable Cytoscape network. In those networks, both gene datasets (GO terms/pathways/protein complexes) and genes associated to the datasets are represented as nodes. While the edges connect each gene to its dataset(s). The package also provides the option to create enrichment maps from functional enrichment results. Enrichment maps enable the visualization of enriched terms into a network with edges connecting overlapping genes.

Maintainer: Astrid Deschênes

Release v0.0.3 (Development)

Depends: R (>= 4.0.2)

This package enables the transformation of functional enrichment results obtained by gprofiler2 into a Cytoscape network where significant terms (Gene Ontology/Reactome/Kegg/Transcription Factor/etc..) and genes are nodes. In this network, edges connect genes that are part of the enrichment request to their terms. The gprofiler2cytoscape package offers the option to generate a network for only a portion of the significant terms by selecting the source or by providing a specific list of terms.

Authors: Astrid Deschênes and Pascal Belleau

Maintainer: Astrid Deschênes

Release v0.0.2 (Development)

Depends: R (>= 4.0.2)

This package enables the transformation of functional enrichment results obtained by gprofiler2 into a Cytoscape network where significant terms (Gene Ontology/Reactome/Kegg/Transcription Factor/etc..) and genes are nodes. In this network, edges connect genes that are part of the enrichment request to their terms. The gprofiler2cytoscape package offers the option to generate a network for only a portion of the significant terms by selecting the source or by providing a specific list of terms.

Authors: Astrid Deschênes and Pascal Belleau

Maintainer: Astrid Deschênes