 | |
| Content | |
|---|---|
| Description | Uberon, an integrative multi-species anatomy ontology. |
| Data types captured | Anatomical Structures |
| Organisms | Metazoa |
| Contact | |
| Primary citation | Mungall & al. (2012)[1] |
| Release date | 2012 |
| Access | |
| Data format | OWL and OBO |
| Website | http://obophenotype.github.io/uberon/ |
| Download URL | http://purl.obolibrary.org/obo/uberon/merged.owl |
| Sparql endpoint | http://sparql.hegroup.org/sparql |
| Miscellaneous | |
| License | open |
The Uber-anatomy ontology (Uberon) is a comparative anatomy ontology representing a variety of structures found in animals, such as lungs, muscles, bones, feathers and fins. These structures are connected to other structures via relationships such as part-of and develops-from.[1] One of the uses of this ontology is to integrate data from different biological databases, and other species-specific ontologies such as the Foundational Model of Anatomy.[2][3][4]
- ^ a b Mungall, Christopher J; Torniai Carlo; Gkoutos Georgios V; Lewis Suzanna E; Haendel Melissa A (2012). "Uberon, an integrative multi-species anatomy ontology". Genome Biol. 13 (1). England: R5. doi:10.1186/gb-2012-13-1-r5. PMC 3334586. PMID 22293552.
- ^ Washington, N. L.; Haendel, M. A.; Mungall, C. J.; Ashburner, M.; Westerfield, M.; Lewis, S. E. (2009). Buetow, Kenneth H (ed.). "Linking Human Diseases to Animal Models Using Ontology-Based Phenotype Annotation". PLOS Biology. 7 (11): e1000247. doi:10.1371/journal.pbio.1000247. PMC 2774506. PMID 19956802.
- ^ Hoehndorf, R.; Schofield, P. N.; Gkoutos, G. V. (2011). "PhenomeNET: A whole-phenome approach to disease gene discovery". Nucleic Acids Research. 39 (18): e119. doi:10.1093/nar/gkr538. PMC 3185433. PMID 21737429.
- ^ Chen, C. K.; Mungall, C. J.; Gkoutos, G. V.; Doelken, S. C.; Köhler, S.; Ruef, B. J.; Smith, C.; Westerfield, M.; Robinson, P. N.; Lewis, S. E.; Schofield, P. N.; Smedley, D. (2012). "MouseFinder: Candidate disease genes from mouse phenotype data". Human Mutation. 33 (5): 858–866. doi:10.1002/humu.22051. PMC 3327758. PMID 22331800.