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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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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. |
format | Online Article Text |
id | pubmed-4940905 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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