OntoloViz

OntoloViz visualizes ranked lists of diseases and drugs by mapping them onto the hierarchical Medical Subject Headings (MeSH) and Anatomical Therapeutic Chemical (ATC) ontologies to contextualize terms within broader classifications.

Key Features:

• Ontology support: Maps disease and drug terms to the hierarchical structures of MeSH and ATC ontologies.
• Sunburst visualization: Presents hierarchical relationships using a sunburst layout to display term classifications.
• Ranked list input: Accepts ranked lists of disease or drug names with optional numerical parameters such as term frequencies.
• Data propagation: Propagates values upward through the ontology tree to aggregate counts or scores at broader terms.
• Contextual analysis: Enables exploration and analysis of gene and drug lists within their broader ontology-based classifications.

Scientific Applications:

• Drug repositioning: Supports analysis of relationships between therapeutic agents and conditions to inform repositioning hypotheses.
• COVID-19 ATC visualization: Provides graphical representation of clinically tested drugs for COVID-19 using ATC classification.
• Literature annotation mapping: Visualizes literature annotations of human diseases on the MeSH ontology.
• Contextual classification: Contextualizes specific diseases or drugs within broader biomedical classifications for downstream analyses.

Methodology:

Maps ranked lists to MeSH and ATC hierarchical tree structures, displays relationships with a sunburst layout, propagates values upward in the ontology to aggregate scores, and accepts numerical parameters such as term frequencies.