Connecting ontologies for the representation of biological pathways

CEUR Workshop Proceedings

Volumn 833, Issue , 2011, Pages 387-392

  Masci, Anna Maria ^a   Levin, Mikhail ^b   Ruttenberg, Alan ^c   Cowell, Lindsay G ^d  

^a DUKE UNIVERSITY MEDICAL CENTER   (United States)

^b UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

^c UNIVERSITY AT BUFFALO   (United States)

^d Creative Commons   (United States)

Author keywords

OBO foundry; Ontology; OWL; Semantic web; Signal transduction pathway

Indexed keywords

BIOLOGICAL PATHWAYS; BIOMEDICAL ONTOLOGIES; ONTOLOGY DEVELOPMENT; OWL; PATHWAY ANALYSIS; PATHWAY DATABASE; SIGNAL TRANSDUCTION PATHWAYS; TOLL-LIKE RECEPTORS;

ONTOLOGY; SEMANTIC WEB; SIGNAL TRANSDUCTION;

FOUNDRIES;

EID: 84891919985     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Smith, B., et al., The OBO Foundry: coordinated, evolution of ontologies to support biomedical data integration. Nat Biotechnol, 2007. 25(11): p. 1251-5.
2. Smith, B., et al., Relations in biomedical ontologies. Genome Biol, 2005. 6(5): p. R46.
3. Natale, D.A., et al., Framework for a protein ontology. BMC Bioinformatics, 2007. 8 Suppl 9.
4. Meehan, T.F., et al., Logical development of the cell ontology. BMC Bioinformatics, 2011. 12: 6.
5. Finn, R.D., et al., The Pfam protein families database. Nucleic Acids Res, 2010. 38(Database issue): p. D211-22.
6. Ashburner, M., et al., Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet, 2000. 25(1): p. 25-9.
7. Bard, J., S.Y. Rhee, and M. Ashburner, An ontology for cell types. Genome Biol, 2005. 6(2): p. R21.
8. Diehl, A.D., et al., Hematopoietic cell types: Prototype for a revised cell ontology. J Biomed Inform, 2010.
9. Rosse, C. and J.L. Mejino Jr., A reference ontology for biomedical informatics: the Foundational Model of Anatomy. J Biomed Inform, 2003. 36(6): p. 478-500.
10. Masci, A.M., et al., An improved ontological representation of dendritic cells as a paradigm for all cell types. BMC Bioinformatics, 2009. 10: 70.