Computing and Visualizing Gene Function Similarity and Coherence with NaviGO.

Area of Science:

• Bioinformatics
• Computational Biology
• Genomics

Background:

• Gene Ontology (GO) provides a standardized vocabulary for gene functions across species.
• GO annotations are crucial for functional analyses of individual genes and large-scale proteomic studies.
• Visualizing and quantifying relationships within GO annotations is essential for deeper biological insights.

Purpose of the Study:

• To introduce and demonstrate the functionality of the NaviGO webserver.
• To guide users through the analysis of GO annotations and protein sets using NaviGO.
• To highlight the utility of NaviGO for understanding gene function and protein associations.

Main Methods:

• The NaviGO webserver offers four main functions: GO Parents, GO Set, GO Enrichment, and Protein Set.
• GO Parents visualizes hierarchical GO term relationships.
• GO Set calculates functional similarity scores and presents network and multidimensional scaling plots.
• GO Enrichment and Protein Set analyze functional enrichment and associations within protein and GO term datasets.

Main Results:

• The "GO Parents" tab illustrates the hierarchical structure of GO terms.
• The "GO Set" tab provides six functional similarity and association scores, visualized in network and MDS plots.
• The "GO Enrichment" and "Protein Set" tabs enable functional enrichment and association analyses for protein datasets.
• NaviGO's source code is available for local use or integration into other pipelines.

Conclusions:

• NaviGO is a versatile webserver for visualizing and quantifying GO annotation relationships.
• The tool facilitates comprehensive functional analysis of genes and proteins.
• NaviGO supports both online analysis and local integration, enhancing its applicability in biological research.