MonaGO
MonaGO performs visualization and analysis of Gene Ontology (GO) enrichment results to facilitate interpretation of overrepresented GO terms.
Key Features:
- Visualization of GO enrichment results: Generates visual representations of GO enrichment analysis results to aid interpretation of overrepresented GO terms.
- Dynamic clustering: Employs dynamic clustering techniques to organize and simplify complex GO term datasets and reveal relationships.
- Customizable visualization parameters: Provides configurable visualization parameters to tailor representations of GO terms.
- Support for multiple input types: Accepts gene lists and GO terms as inputs for enrichment analysis.
- Export and reproducibility: Supports export of visualizations as high-resolution images and saving of analysis sessions to enable reproducibility.
Scientific Applications:
- Interpretation of overrepresented GO terms: Facilitates interpretation of statistically overrepresented GO terms from enrichment analyses.
- Identification of GO term relationships: Enables identification of significant patterns and relationships among GO terms through clustering and visualization.
- Hypothesis generation: Assists in generating biological hypotheses by clarifying enriched functional categories.
Methodology:
Applies GO enrichment analysis combined with dynamic clustering and advanced visualization techniques.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool, web application
- Added:
- 1/18/2021
- Last Updated:
- 3/18/2021
Operations
Publications
Xin Z, Cai Y, Dang LT, Burke HM, Revote J, Nim HT, Li Y, Ramialison M. MonaGO: a novel Gene Ontology enrichment analysis visualisation system. Unknown Journal. 2020. doi:10.1101/2020.09.27.316067.
Links
Repository
https://github.com/liyuanfang/MonaGO