WOBD turns biomedical data silos into a queryable discovery network.
The Web of Biological Data connects harmonized dataset metadata from the NIAID Data Ecosystem with 30+ Proto-OKN knowledge graphs, so researchers and AI assistants can move from a question to mechanisms, exposures, diseases, and supporting datasets in one reproducible workflow.
Continued support has compounding value: every new graph, repository, and metadata relationship widens the set of cross-domain questions WOBD can answer.
Shared identifiers, graph metadata, query guardrails, ontology lookup, and provenance-aware execution.
Proto-OKN graphs reachable through the federation
worked cross-domain analyses shown on this site
ways to use WOBD: guided templates or AI assistants
Choose the path that fits your role
WOBD is both a practical discovery tool and a growing research infrastructure layer. These entry points separate hands-on use from strategic context.
For researchers
Use vetted forms to find biomedical datasets and gene-expression evidence without writing graph queries.
Run a guided queryFor AI assistant users
Ask open-ended questions across the Proto-OKN federation from Claude, ChatGPT, VS Code, or another MCP-capable client.
Connect an assistantFor content partners
See how datasets, knowledge graphs, ontologies, and curated resources can become part of a shared query layer.
Explore integration opportunitiesImpact case studies
Three worked analyses show the same pattern: WOBD joins separately curated resources into auditable answers that would otherwise require cross-disciplinary teams and manual synthesis.
Diabetic nephropathy
A disease-genomics workflow that combines ontology resolution, sample discovery, differential expression, and enrichment in one auditable chat.
See vignettePFAS compounds
A public-health synthesis across environmental monitoring, toxicology mechanisms, disease associations, and dataset metadata.
See vignetteTerpene biosynthesis
A translational-discovery workflow linking pathway evidence, expression coverage, and host-engineering datasets for biomanufacturing.
See vignetteHow WOBD grows in value
The hard part of biomedical research is rarely a single database lookup. It is trusted synthesis across data that was funded, curated, and published separately.
A shared query plane
WOBD publishes dataset metadata, expression evidence, and graph context into a federation that researchers and AI assistants can query consistently.
Provenance by design
Results stay tied to source graphs, executed queries, identifiers, and dataset records, making AI-mediated discovery inspectable and rerunnable.
Compounding growth
Each additional graph, repository, and metadata relationship expands the questions the network can answer without rebuilding one-off integrations.
Start using WOBD
Guided query templates
Fill in terms for datasets, drugs, genes, diseases, species, or tissues. WOBD generates the graph query and shows the results with query traces.
Try a guided queryAI-assistant access
Connect an MCP-capable assistant to ask open-ended questions across the whole Proto-OKN federation and inspect the graphs behind the answer.
Connect your assistantWOBD is part of the broader Proto-OKN effort to build interconnected, trustworthy knowledge graphs for data-driven discovery. Review the growth plan and team →