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  • Welcome to BioBox!
  • Framework
    • Overview
    • Why Graph?
    • Core Concepts
  • Data Packages
    • Data Packages
    • External Ontologies
      • Gene Ontology
      • Tissue
      • Disease
      • Cell Ontology
      • Phenotype
  • How To
    • 🧭Configure your Knowledge Graph Schema
      • πŸ—‚οΈFormat Internal Data For Uploading
      • ‴️Upload Internal Data
    • βš–οΈCreate Prioritization Graph Models
      • πŸ—’οΈGenerate Reports
      • πŸ›£οΈPathway Enrichment
    • πŸ—ΊοΈUse the Graph Explorer
      • βš™οΈRunning Graph Algorithms
      • πŸ’ΎSave Graph Explorer Sessions
    • πŸ”—Use the Query Language
      • Customize the data table returned with your query
      • 🧭Explore and understand your results
      • πŸ“ŠVisualize data returned in Query Language
      • ✏️Modify Queries using the Query Editor
    • Ask questions with Natural Language (GraphRAG)
      • Use Agent Orion to generate a query with Natural Language
      • Use Agent Iris to converse with your data
  • πŸ“ŠVisualize data on the Legacy Platform
    • πŸ“„Create a Genomic Sequencing Dashboard (Legacy Platform)
    • 🍭Create a Stacked Lollipop Plot (Legacy Platform)
    • ↕️Upload raw data (Legacy Platform)
    • πŸ“«Invite Users to Your Organization
  • Release Notes
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  1. Data Packages

External Ontologies

Reference data loaded into knowledge graphs through curated ontologies

PreviousData PackagesNextGene Ontology

Last updated 11 months ago

General Data Transformations

Ontologies are structured data writing in RDF/XML syntax or in OWL. They are great resources to express very complex and precise domain-specific knowledge. In practice, they aren't that useful by itself because:

  • Not human readable, and you'll need special software like Protege

  • T-box structured

  • Good for schemas, bad for analysis

For more information about the different ontologies in the biomedical space, we recommend checking out the documentation on .

For practical reasons we transform ontologies from their T-Box structures into A-Box schemas. In other words, we map a "Class" in an ontology as an Object in the data graph itself.

Inside our labelled property graph, we can use labels to denote the Conceptual hierarchies of your core ontology.

obo foundry
T-Box pattern for diseases
A-Box pattern with labels