Obo Foundry Ontologies (Grade A) logo

Obo Foundry Ontologies (Grade A)Security-tested data-ai skill for Claude AI. Grade A. Access OBO Foundry biomedical ontologies relevant to veterinary medicine including VBO (breeds), UBERON (anatomy), HP/MP (phenotypes), ChEBI (chem

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Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

The OBO Foundry Ontologies skill provides access to standardized biomedical ontologies relevant to veterinary medicine, including VBO (breeds), UBERON (anatomy), HP/MP (phenotypes), ChEBI (chemicals), and NCBITaxon (species taxonomy). These ontologies enable structured reasoning across species, phenotypes, anatomical features, and chemicals. For veterinary AI, they provide formal semantic frameworks for breed classification, anatomical mapping, inherited disease phenotypes, and cross-species gene annotation. The ontologies are used for standardizing veterinary data with ontology terms, performing SPARQL queries across linked datasets, mapping genetic variants, and enabling cross-species disease reasoning.

Key features

  • Access to VBO (Vertebrate Breed Ontology) with 49 species and 19,500+ breed concepts
  • Integration with UBERON (Uber-Anatomy Ontology) for multi-species anatomy
  • HP/MP (Human/Mammalian Phenotype Ontologies) for standardized disease manifestations
  • ChEBI (Chemical Entities of Biological Interest) for small-molecule drugs and compounds
  • NCBITaxon (NCBI Taxonomy Ontology) for species taxonomy

Pricing

Model
Free
Category
Skills
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Use cases

Standardizing Veterinary Data

Using OBO Foundry ontologies to standardize veterinary data with ontology terms, enabling cross-species comparisons and reasoning.

Cross-Species Disease Reasoning

Enabling cross-species disease reasoning by mapping canine genetic variants to human orthologous genes and linking veterinary clinical signs to inherited disease databases.

Pros & Cons

Pros

  • Enables standardized data representation across veterinary and human medicine
  • Facilitates cross-species reasoning and mapping
  • Provides formal semantic frameworks for breed classification and disease phenotypes
  • Supports SPARQL queries across linked datasets

Cons

  • Requires expertise in ontology structure and semantic relationships
  • May require significant computational resources for large-scale queries

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Q&A

What technical expertise is needed to use this skill effectively?

Users should be familiar with ontology structures and semantic relationships, and have sufficient computational resources to handle large‑scale queries, as the skill’s power comes from complex, linked datasets.

Asked by Mei-Ling Wong · Feb 15, 2026

Can I run SPARQL queries across these ontologies for cross‑species analysis?

Yes, the skill supports SPARQL queries across the linked OBO Foundry ontologies, enabling structured reasoning and mapping of breeds, anatomy, phenotypes, and chemicals between species.

Asked by Vera Nováková · Jan 22, 2026

What veterinary-specific ontologies are included and how extensive are they?

The skill includes VBO with 49 species and over 19,500 breed concepts, UBERON for multi‑species anatomy, HP/MP for phenotype terms, ChEBI for chemicals, and NCBITaxon for taxonomy, covering a broad range of veterinary biomedical data.

Asked by Paloma Ruiz · Dec 19, 2025

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