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MonaGO: a novel gene ontology enrichment analysis visualisation system
Ziyin Xin1, Yujun Cai1,2, Louis T Dang3,4
1Faculty of IT, Monash University, Clayton, VIC, Australia.
BMC Bioinformatics
|February 15, 2022
Summary
Monash Gene Ontology (MonaGO) offers an intuitive, web-based system for visualizing gene ontology (GO) enrichment analysis. This tool simplifies complex -omics data interpretation for biologists.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- Gene Ontology (GO) enrichment analysis is crucial for interpreting -omics data.
- Existing tools often lack intuitive and interpretable visualizations for GO enrichment results.
Purpose of the Study:
- To introduce Monash Gene Ontology (MonaGO), a novel web-based system for GO enrichment analysis visualization.
- To provide an intuitive, interactive, and responsive platform for visualizing overrepresented GO terms.
Main Methods:
- Developed a web-based system (MonaGO) supporting gene lists and GO terms as input.
- Implemented interactive and responsive visualization features.
- Enabled export of high-resolution images and session restoration for reproducibility.
Main Results:
- MonaGO provides a unique platform for simultaneous interactive visualization within a single web page.
- Comparison with 11 other tools showed MonaGO's superiority in features like interactivity and customizability.
- Results are directly accessible via a web browser with customizable display options.
Conclusions:
- MonaGO combines dynamic clustering and interactive visualization for meaningful representation of GO terms.
- The system simplifies complex GO analysis outputs in an unbiased manner.
- MonaGO facilitates easier interpretation and representation of GO analysis results for biologists.
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