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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 1 year 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