GSOAP
GSOAP visualizes gene set over-representation analysis (GSOA) results by mapping relationships among enriched instances and highlighting significance, closeness centrality, and clustering to support interpretation of pathway and functional-category enrichment.
Key Features:
- GSOA visualization: Provides visual representations of gene set over-representation analysis (GSOA) results showing overlaps between gene sets and enriched instances.
- Relationship mapping: Illustrates relationships among enriched instances to reveal interconnectedness.
- Significance highlighting: Encodes and emphasizes statistical significance of enrichment results.
- Centrality (closeness): Emphasizes closeness centrality as a measure of instance centrality within the relationship map.
- Clustering: Highlights clustering of enriched instances to reveal modules or groups of related terms.
- Supported instance types: Applies to enriched instances such as biological pathways and functional categories.
- Implementation: Implemented as an R package.
Scientific Applications:
- Pathway analysis: Aids interpretation of enriched biological pathways by visualizing relationships and significance among pathway terms.
- Functional genomics: Supports exploration of functional-category enrichment for gene sets derived from genomic experiments.
- Systems biology: Reveals interconnected functional modules and central entities within enriched instance networks for systems-level interpretation.
Methodology:
Implemented as an R package that generates visualizations illustrating relationships among enriched instances while emphasizing significance, closeness centrality, and clustering.
Topics
Details
- Tool Type:
- command-line tool
- Programming Languages:
- R
- Added:
- 1/18/2021
- Last Updated:
- 1/25/2021
Operations
Publications
Tokar T, Pastrello C, Jurisica I. GSOAP: a tool for visualization of gene set over-representation analysis. Bioinformatics. 2020;36(9):2923-2925. doi:10.1093/bioinformatics/btaa001. PMID:31977031. PMCID:PMC7203738.
PMID: 31977031
PMCID: PMC7203738
Funding: - Ontario Research Fund: 34876
- NSERC: 203475
- CFI: 225404, 30865