COMODI : an ontology to characterise differences in versions of computational models in biology

dc.contributor.authorScharm, Martinen_ZA
dc.contributor.authorWaltemath, Dagmaren_ZA
dc.contributor.authorMendes, Pedroen_ZA
dc.contributor.authorWolkenhauer, Olafen_ZA
dc.date.accessioned2017-06-09T12:48:00Z
dc.date.available2017-06-09T12:48:00Z
dc.date.issued2016-07-11
dc.descriptionCITATION: Scharm, M., Waltemath, D., Mendes, P. & Wolkenhauer, O. 2016. COMODI : an ontology to characterise differences in versions of computational models in biology. Journal of Biomedical Semantics, 7:46, doi:10.1186/s13326-016-0080-2.
dc.descriptionThe original publication is available at https://jbiomedsem.biomedcentral.com
dc.description.abstractBackground: Open model repositories provide ready-to-reuse computational models of biological systems. Models within those repositories evolve over time, leading to different model versions. Taken together, the underlying changes reflect a model’s provenance and thus can give valuable insights into the studied biology. Currently, however, changes cannot be semantically interpreted. To improve this situation, we developed an ontology of terms describing changes in models. The ontology can be used by scientists and within software to characterise model updates at the level of single changes. When studying or reusing a model, these annotations help with determining the relevance of a change in a given context. Methods: We manually studied changes in selected models from BioModels and the Physiome Model Repository. Using the BiVeS tool for difference detection, we then performed an automatic analysis of changes in all models published in these repositories. The resulting set of concepts led us to define candidate terms for the ontology. In a final step, we aggregated and classified these terms and built the first version of the ontology. Results: We present COMODI, an ontology needed because COmputational MOdels DIffer. It empowers users and software to describe changes in a model on the semantic level. COMODI also enables software to implement user-specific filter options for the display of model changes. Finally, COMODI is a step towards predicting how a change in a model influences the simulation results. Conclusion: COMODI, coupled with our algorithm for difference detection, ensures the transparency of a model’s evolution, and it enhances the traceability of updates and error corrections. COMODI is encoded in OWL. It is openly available at http://comodi.sems.uni-rostock.de/.en_ZA
dc.description.urihttps://jbiomedsem.biomedcentral.com/articles/10.1186/s13326-016-0080-2
dc.description.versionPublisher's version
dc.format.extent8 pages
dc.identifier.citationScharm, M., Waltemath, D., Mendes, P. & Wolkenhauer, O. 2016. COMODI : an ontology to characterise differences in versions of computational models in biology. Journal of Biomedical Semantics, 7:46, doi:10.1186/s13326-016-0080-2.
dc.identifier.issn2041-1480 (online)
dc.identifier.otherdoi:10.1186/s13326-016-0080-2
dc.identifier.urihttp://hdl.handle.net/10019.1/101740
dc.language.isoen_ZAen_ZA
dc.publisherBioMed Central
dc.rights.holderAuthors retain copyright
dc.subjectOntologyen_ZA
dc.subjectComputational biologyen_ZA
dc.subjectSystems Biology Markup Languageen_ZA
dc.titleCOMODI : an ontology to characterise differences in versions of computational models in biologyen_ZA
dc.typeArticleen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
scharm_comodi_2016.pdf
Size:
911.91 KB
Format:
Adobe Portable Document Format
Description:
Download article
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.95 KB
Format:
Item-specific license agreed upon to submission
Description: