Abstract
BackgroundOpen 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.MethodsWe 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.ResultsWe 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.ConclusionCOMODI, 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/.Electronic supplementary materialThe online version of this article (doi:10.1186/s13326-016-0080-2) contains supplementary material, which is available to authorized users.Electronic supplementary materialThe online version of this article (doi:10.1186/s13326-016-0080-2) contains supplementary material, which is available to authorized users.
Highlights
Open model repositories provide ready-to-reuse computational models of biological systems
Computational models of biological systems are frequently described in XML standard formats such as the Systems Biology Markup Language (SBML, [2]) or CellML [3]
The ontology is sufficiently generic that it can be used to annotate the differences between computational models, including those encoded in SBML and CellML
Summary
We manually studied changes in selected models from BioModels and the Physiome Model Repository. Using the BiVeS tool for difference detection, we 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. We aggregated and classified these terms and built the first version of the ontology
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