TY - JOUR
T1 - Modeling biomedical experimental processes with OBI
AU - the OBI Consortium
AU - Brinkman, Ryan R.
AU - Courtot, Mélanie
AU - Derom, Dirk
AU - Fostel, Jennifer M.
AU - He, Yongqun
AU - Lord, Phillip
AU - Malone, James
AU - Parkinson, Helen
AU - Peters, Bjoern
AU - Rocca-Serra, Philippe
AU - Ruttenberg, Alan
AU - Sansone, Susanna Assunta
AU - Soldatova, Larisa N.
AU - Stoeckert, Christian J.
AU - Turner, Jessica A.
AU - Zheng, Jie
AU - Grethe, Jeff
AU - Rubin, Daniel
AU - Bug, Bill
AU - Wiemann, Stefan
AU - Hernandez-Boussard, Tina
AU - Scheuermann, Richard
AU - Bruskiewich, Richard
AU - Gibson, Frank
AU - Morrison, Norman
AU - Field, Dawn
AU - Gray, Tanya
AU - Deutsch, Eric
AU - Schober, Daniel
AU - Montecchi, Luisa
AU - Taylor, Chris
AU - Whetzel, Trish
AU - Westbrook, John
AU - Fragoso, Gilberto
AU - White, Joe
AU - Heiskanen, Mervi
AU - Fan, Liju
AU - Causton, Helen
AU - Lister, Allyson
AU - Clancy, Kevin
AU - Cocos, Cristian
AU - Greenbaum, Jay
AU - Grenon, Pierre
AU - Mungall, Chris
AU - Pocock, Matthew
AU - Stenzhorn, Holger
AU - Hunter, Lawrence
AU - Mc Gee, Monnie
AU - Smith, Barry
AU - Stevens, Robert
N1 - Publisher Copyright:
© 2010 Soldatova et al; licensee BioMed Central Ltd.
PY - 2010/6/22
Y1 - 2010/6/22
N2 - Background: Experimental descriptions are typically stored as free text without using standardized terminology, creating challenges in comparison, reproduction and analysis. These difficulties impose limitations on data exchange and information retrieval. Results: The Ontology for Biomedical Investigations (OBI), developed as a global, cross-community effort, provides a resource that represents biomedical investigations in an explicit and integrative framework. Here we detail three real-world applications of OBI, provide detailed modeling information and explain how to use OBI. Conclusion: We demonstrate how OBI can be applied to different biomedical investigations to both facilitate interpretation of the experimental process and increase the computational processing and integration within the Semantic Web. The logical definitions of the entities involved allow computers to unambiguously understand and integrate different biological experimental processes and their relevant components. Availability: OBI is available at http://purl.obolibrary.org/obo/obi/2009-11-02/obi.owl
AB - Background: Experimental descriptions are typically stored as free text without using standardized terminology, creating challenges in comparison, reproduction and analysis. These difficulties impose limitations on data exchange and information retrieval. Results: The Ontology for Biomedical Investigations (OBI), developed as a global, cross-community effort, provides a resource that represents biomedical investigations in an explicit and integrative framework. Here we detail three real-world applications of OBI, provide detailed modeling information and explain how to use OBI. Conclusion: We demonstrate how OBI can be applied to different biomedical investigations to both facilitate interpretation of the experimental process and increase the computational processing and integration within the Semantic Web. The logical definitions of the entities involved allow computers to unambiguously understand and integrate different biological experimental processes and their relevant components. Availability: OBI is available at http://purl.obolibrary.org/obo/obi/2009-11-02/obi.owl
UR - https://www.scopus.com/pages/publications/84949805606
U2 - 10.1186/2041-1480-1-S1-S7
DO - 10.1186/2041-1480-1-S1-S7
M3 - Article
AN - SCOPUS:84949805606
SN - 2041-1480
VL - 1
JO - Journal of Biomedical Semantics
JF - Journal of Biomedical Semantics
IS - 1
M1 - S7
ER -