disease-ontology

disease-ontology provides a structured ontology for classification and semantic annotation of human diseases to support biomedical data integration and analysis.

Key Features:

• Semantic Classification: Employs formal semantic rules and logical axioms to represent disease models, supporting single asserted classifications and multiple inferred mechanistic classifications.
• Expanded Knowledgebase: Since 2015 the ontology increased textual definitions by 30% and added over 2650 new disease terms.
• Diverse Classifications: Includes classifications based on alternative anatomy, cell types, genetic factors, and workflow-specific perspectives.
• Integration with Biomedical Resources: Integrated into genomic and cancer resources to support bioinformatics analyses and cross-platform health-related data communication.
• Workflow Automation: Implements workflow automation for ontology updates and maintenance.
• User Community Growth: User community expanded 6.6× since 2015.

Scientific Applications:

• Multi-etiology Analysis: Enables exploration of multi-etiology relationships among human diseases.
• Genomic and Cancer Research: Supports integration with genomic and cancer resources for research and data annotation.
• Health Data Communication: Facilitates capturing and communicating complex health-related data across biomedical platforms.

Methodology:

Uses formal semantic rules and logical axioms to construct asserted and inferred disease classification hierarchies.