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The bacterial interlocked process ONtology (BiPON): a systemic multi-scale unified representation of biological processes in prokaryotes
BACKGROUND: High-throughput technologies produce huge amounts of heterogeneous biological data at all cellular levels. Structuring these data together with biological knowledge is a critical issue in biology and requires integrative tools and methods such as bio-ontologies to extract and share valua...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5701433/ https://www.ncbi.nlm.nih.gov/pubmed/29169408 http://dx.doi.org/10.1186/s13326-017-0165-6 |
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author | Henry, Vincent J. Goelzer, Anne Ferré, Arnaud Fischer, Stephan Dinh, Marc Loux, Valentin Froidevaux, Christine Fromion, Vincent |
author_facet | Henry, Vincent J. Goelzer, Anne Ferré, Arnaud Fischer, Stephan Dinh, Marc Loux, Valentin Froidevaux, Christine Fromion, Vincent |
author_sort | Henry, Vincent J. |
collection | PubMed |
description | BACKGROUND: High-throughput technologies produce huge amounts of heterogeneous biological data at all cellular levels. Structuring these data together with biological knowledge is a critical issue in biology and requires integrative tools and methods such as bio-ontologies to extract and share valuable information. In parallel, the development of recent whole-cell models using a systemic cell description opened alternatives for data integration. Integrating a systemic cell description within a bio-ontology would help to progress in whole-cell data integration and modeling synergistically. RESULTS: We present BiPON, an ontology integrating a multi-scale systemic representation of bacterial cellular processes. BiPON consists in of two sub-ontologies, bioBiPON and modelBiPON. bioBiPON organizes the systemic description of biological information while modelBiPON describes the mathematical models (including parameters) associated with biological processes. bioBiPON and modelBiPON are related using bridge rules on classes during automatic reasoning. Biological processes are thus automatically related to mathematical models. 37% of BiPON classes stem from different well-established bio-ontologies, while the others have been manually defined and curated. Currently, BiPON integrates the main processes involved in bacterial gene expression processes. CONCLUSIONS: BiPON is a proof of concept of the way to combine formally systems biology and bio-ontology. The knowledge formalization is highly flexible and generic. Most of the known cellular processes, new participants or new mathematical models could be inserted in BiPON. Altogether, BiPON opens up promising perspectives for knowledge integration and sharing and can be used by biologists, systems and computational biologists, and the emerging community of whole-cell modeling. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13326-017-0165-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5701433 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57014332017-12-04 The bacterial interlocked process ONtology (BiPON): a systemic multi-scale unified representation of biological processes in prokaryotes Henry, Vincent J. Goelzer, Anne Ferré, Arnaud Fischer, Stephan Dinh, Marc Loux, Valentin Froidevaux, Christine Fromion, Vincent J Biomed Semantics Research BACKGROUND: High-throughput technologies produce huge amounts of heterogeneous biological data at all cellular levels. Structuring these data together with biological knowledge is a critical issue in biology and requires integrative tools and methods such as bio-ontologies to extract and share valuable information. In parallel, the development of recent whole-cell models using a systemic cell description opened alternatives for data integration. Integrating a systemic cell description within a bio-ontology would help to progress in whole-cell data integration and modeling synergistically. RESULTS: We present BiPON, an ontology integrating a multi-scale systemic representation of bacterial cellular processes. BiPON consists in of two sub-ontologies, bioBiPON and modelBiPON. bioBiPON organizes the systemic description of biological information while modelBiPON describes the mathematical models (including parameters) associated with biological processes. bioBiPON and modelBiPON are related using bridge rules on classes during automatic reasoning. Biological processes are thus automatically related to mathematical models. 37% of BiPON classes stem from different well-established bio-ontologies, while the others have been manually defined and curated. Currently, BiPON integrates the main processes involved in bacterial gene expression processes. CONCLUSIONS: BiPON is a proof of concept of the way to combine formally systems biology and bio-ontology. The knowledge formalization is highly flexible and generic. Most of the known cellular processes, new participants or new mathematical models could be inserted in BiPON. Altogether, BiPON opens up promising perspectives for knowledge integration and sharing and can be used by biologists, systems and computational biologists, and the emerging community of whole-cell modeling. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13326-017-0165-6) contains supplementary material, which is available to authorized users. BioMed Central 2017-11-23 /pmc/articles/PMC5701433/ /pubmed/29169408 http://dx.doi.org/10.1186/s13326-017-0165-6 Text en © The Author(s). 2017 Open AccessThis 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 Henry, Vincent J. Goelzer, Anne Ferré, Arnaud Fischer, Stephan Dinh, Marc Loux, Valentin Froidevaux, Christine Fromion, Vincent The bacterial interlocked process ONtology (BiPON): a systemic multi-scale unified representation of biological processes in prokaryotes |
title | The bacterial interlocked process ONtology (BiPON): a systemic multi-scale unified representation of biological processes in prokaryotes |
title_full | The bacterial interlocked process ONtology (BiPON): a systemic multi-scale unified representation of biological processes in prokaryotes |
title_fullStr | The bacterial interlocked process ONtology (BiPON): a systemic multi-scale unified representation of biological processes in prokaryotes |
title_full_unstemmed | The bacterial interlocked process ONtology (BiPON): a systemic multi-scale unified representation of biological processes in prokaryotes |
title_short | The bacterial interlocked process ONtology (BiPON): a systemic multi-scale unified representation of biological processes in prokaryotes |
title_sort | bacterial interlocked process ontology (bipon): a systemic multi-scale unified representation of biological processes in prokaryotes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5701433/ https://www.ncbi.nlm.nih.gov/pubmed/29169408 http://dx.doi.org/10.1186/s13326-017-0165-6 |
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