BioAsk visualization helps researchers move beyond long search-result lists by displaying biological entities, relationships, themes, and knowledge structures as interactive discovery views.
Visualization turns biomedical records into organized views that make entities, relationships, clusters, and source context easier to understand.
Shows biomedical entities as connected nodes, helping users explore relationships between genes, proteins, diseases, pathways, and drugs.
Best for discovering hidden associations, target networks, pathway links, and multi-entity biomedical relationships.
Organizes detected bio-entities into a tree structure by type, source, theme, or biological category.
Best for browsing large result sets by biological category, disease family, target class, or research domain.
Groups results into research themes such as oncology, inflammation, biomarkers, diagnostics, therapy, or molecular pathways.
Best for quickly understanding the major topics inside hundreds or thousands of biomedical search results.
Separates visual results by source type, including literature abstracts, patent records, and clinical trial information.
Best for comparing scientific evidence, innovation signals, and translational or clinical development activity.
Displays relationship types such as association, interaction, regulation, targeting, measurement, and pathway involvement.
Best for understanding how biological facts and entity relationships appear across biomedical text sources.
Combines result counts, source summaries, entity lists, relationship panels, and theme summaries in one structured interface.
Best for giving researchers a fast overview before opening individual records or visual exploration tools.
This demo shows how the same biomedical query can be displayed as a graph, entity tree, theme cluster, or source map.
Graph view shows how detected biomedical entities are connected through relationships such as association, regulation, targeting, and involvement.
Biomedical records are retrieved from literature, patent, and clinical trial sources.
Genes, proteins, diseases, pathways, drugs, biomarkers, and clinical terms are detected.
Possible relationships are identified between entities and source records.
BioAsk presents graphs, trees, clusters, maps, dashboards, and visual discovery panels.
| Visual View | Best For | Example Use |
|---|---|---|
| Knowledge Graph | Entity connections and relationship discovery | Explore EGFR, lung cancer, therapy, and pathways |
| Entity Tree | Hierarchical browsing of entity categories | Browse genes, proteins, diseases, drugs, and pathways |
| Theme Clusters | Understanding the main topics in large result sets | Group results into oncology, biomarkers, and therapy |
| Source Map | Comparing literature, patents, and clinical trials | See whether a target appears in papers, patents, or trials |
| Relationship Map | Finding biological links and relationship types | TP53 regulates apoptosis; IL6 involved in inflammation |
| Discovery Dashboard | Fast summary of entities, results, sources, and themes | Overview before opening detailed records |
Use BioAsk visualization to explore entity networks, relationship maps, source views, and theme clusters from biomedical knowledge sources.
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