Biomappings

Biomappings curates and predicts equivalences between biomedical identifiers to enable interoperability among ontologies, taxonomies, and controlled vocabularies.

Key Features:

• Semi-Automated Curation Workflow: Combines automated prediction with human-in-the-loop curation to identify and validate missing mappings between biomedical entities.
• Multiple Prediction Approaches: Implements various prediction methodologies to identify potential equivalences between identifiers across ontologies, taxonomies, and controlled vocabularies.
• Automated Consistency Checking: Performs automated consistency checks to detect conflicts and maintain the integrity of curated mappings.
• Extensive Mapping Database: Contains 9,274 manually curated mappings and 40,691 predicted mappings covering small molecules, cell lines, diseases, and other biological concepts.

Scientific Applications:

• Cancer cell line and small-molecule mapping: Predicts and curates missing mappings among cancer cell lines and small molecules tested in clinical trials to enable data integration across studies.
• Ontology enrichment: Produces mappings that have been integrated back into multiple community ontologies to enrich and improve those resources.

Methodology:

Combines automated prediction of potential equivalences using advanced algorithms, human-in-the-loop expert curation to review and validate predicted mappings, and automated consistency checks to ensure mapping integrity.