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