We use agentic AI and semantic technologies to support cell atlas annotation, interpretation and analysis.
Explore our projectsπ£ We’re running a workshop at ICBO 2026: Cell Type Knowledge in the Age of Foundation Models and Agentic AI β Washington DC, 17 July 2026.
Part of the Wellcome Sanger Institute’s Cellular Genetics Programme, the Cellular Semantics team builds ontologies, standards and AI-driven tools that help biologists and databases agree on what cell types are, describe them consistently, and connect them to the data and evidence behind them.
We develop and curate the Cell Ontology β the community standard vocabulary of cell types used across single-cell and spatial atlases β and are major contributors to the Uberon anatomy ontology. Around these we build agentic AI workflows, standards for recording annotation evidence, and data-driven taxonomies of brain cell types.
We develop the Cell Ontology and contribute to Uberon β community standards for cell types and anatomy.
Evidence-grounded AI tools for querying atlases, interpreting cell types and recording annotation evidence.
Data-driven cell-type taxonomies of the mammalian brain, built with the BRAIN Initiative Cell Census Network.
The Cell Annotation Schema and tools for capturing and reusing cell type annotations.