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

BACKGROUND: 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...

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Autores principales: Scharm, Martin, Waltemath, Dagmar, Mendes, Pedro, Wolkenhauer, Olaf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4940905/
https://www.ncbi.nlm.nih.gov/pubmed/27401413
http://dx.doi.org/10.1186/s13326-016-0080-2
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author Scharm, Martin
Waltemath, Dagmar
Mendes, Pedro
Wolkenhauer, Olaf
author_facet Scharm, Martin
Waltemath, Dagmar
Mendes, Pedro
Wolkenhauer, Olaf
author_sort Scharm, Martin
collection PubMed
description BACKGROUND: 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/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13326-016-0080-2) contains supplementary material, which is available to authorized users. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13326-016-0080-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-49409052016-07-13 COMODI: an ontology to characterise differences in versions of computational models in biology Scharm, Martin Waltemath, Dagmar Mendes, Pedro Wolkenhauer, Olaf J Biomed Semantics Research BACKGROUND: 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/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13326-016-0080-2) contains supplementary material, which is available to authorized users. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13326-016-0080-2) contains supplementary material, which is available to authorized users. BioMed Central 2016-07-11 /pmc/articles/PMC4940905/ /pubmed/27401413 http://dx.doi.org/10.1186/s13326-016-0080-2 Text en © Scharm et al. 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Scharm, Martin
Waltemath, Dagmar
Mendes, Pedro
Wolkenhauer, Olaf
COMODI: an ontology to characterise differences in versions of computational models in biology
title COMODI: an ontology to characterise differences in versions of computational models in biology
title_full COMODI: an ontology to characterise differences in versions of computational models in biology
title_fullStr COMODI: an ontology to characterise differences in versions of computational models in biology
title_full_unstemmed COMODI: an ontology to characterise differences in versions of computational models in biology
title_short COMODI: an ontology to characterise differences in versions of computational models in biology
title_sort comodi: an ontology to characterise differences in versions of computational models in biology
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4940905/
https://www.ncbi.nlm.nih.gov/pubmed/27401413
http://dx.doi.org/10.1186/s13326-016-0080-2
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