ORDO
ORDO provides a structured ontology that captures rare diseases, their relationships to genes and epidemiological features, and cross-references to biomedical terminologies and databases to enable standardized annotation and computational analysis.
Key Features:
- Structured Vocabulary: ORDO provides a comprehensive controlled vocabulary for rare diseases to facilitate consistent terminology across research and clinical settings.
- Disease-Gene Relationships: ORDO encodes detailed gene–disease relationships linking rare disease concepts to associated genes.
- Integration with Other Terminologies: ORDO maps and interoperates with MeSH, UMLS, and MedDRA.
- Database Connectivity: ORDO cross-references identifiers and records in OMIM, UniProtKB, HGNC, Ensembl, Reactome, IUPHAR, and GEnAtlas.
- Classification Systems: ORDO aligns disease concepts with classification systems such as ICD-10.
Scientific Applications:
- Data annotation and exchange: ORDO supports standardized annotation and exchange of rare disease data across studies and resources.
- Genetic analysis: ORDO enables linking diseases to genes for analyses of genetic underpinnings of rare conditions.
- Epidemiological investigations: ORDO provides structured disease concepts and epidemiological attributes for population and prevalence studies.
- Model annotation and distribution-based models: ORDO facilitates annotation of models and encoding of distribution-based model components for computational studies.
- Predictive models and simulations: ORDO supplies standardized concepts and cross-references that support development of predictive models and simulations of disease mechanisms and progression.
Methodology:
ORDO systematically classifies rare diseases and establishes relationships between diseases and genes through integration and cross-referencing with existing terminologies (MeSH, UMLS, MedDRA) and databases (OMIM, UniProtKB, HGNC, Ensembl, Reactome, IUPHAR, GEnAtlas).
Topics
Collections
Details
- License:
- Apache-2.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- database, web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 2/4/2015
- Last Updated:
- 9/16/2020
Operations
Publications
Swat MJ, Grenon P, Wimalaratne S. ProbOnto: ontology and knowledge base of probability distributions. Bioinformatics. 2016;32(17):2719-2721. doi:10.1093/bioinformatics/btw170. PMID:27153608. PMCID:PMC5013898.
Documentation
Downloads
- Source codehttps://github.com/EBISPOT/OLS