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The cell behavior ontology: describing the intrinsic biological behaviors of real and model cells seen as active agents

Motivation: Currently, there are no ontologies capable of describing both the spatial organization of groups of cells and the behaviors of those cells. The lack of a formalized method for describing the spatiality and intrinsic biological behaviors of cells makes it difficult to adequately describe...

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Autores principales: Sluka, James P., Shirinifard, Abbas, Swat, Maciej, Cosmanescu, Alin, Heiland, Randy W., Glazier, James A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4133580/
https://www.ncbi.nlm.nih.gov/pubmed/24755304
http://dx.doi.org/10.1093/bioinformatics/btu210
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author Sluka, James P.
Shirinifard, Abbas
Swat, Maciej
Cosmanescu, Alin
Heiland, Randy W.
Glazier, James A.
author_facet Sluka, James P.
Shirinifard, Abbas
Swat, Maciej
Cosmanescu, Alin
Heiland, Randy W.
Glazier, James A.
author_sort Sluka, James P.
collection PubMed
description Motivation: Currently, there are no ontologies capable of describing both the spatial organization of groups of cells and the behaviors of those cells. The lack of a formalized method for describing the spatiality and intrinsic biological behaviors of cells makes it difficult to adequately describe cells, tissues and organs as spatial objects in living tissues, in vitro assays and in computational models of tissues. Results: We have developed an OWL-2 ontology to describe the intrinsic physical and biological characteristics of cells and tissues. The Cell Behavior Ontology (CBO) provides a basis for describing the spatial and observable behaviors of cells and extracellular components suitable for describing in vivo, in vitro and in silico multicell systems. Using the CBO, a modeler can create a meta-model of a simulation of a biological model and link that meta-model to experiment or simulation results. Annotation of a multicell model and its computational representation, using the CBO, makes the statement of the underlying biology explicit. The formal representation of such biological abstraction facilitates the validation, falsification, discovery, sharing and reuse of both models and experimental data. Availability and implementation: The CBO, developed using Protégé 4, is available at http://cbo.biocomplexity.indiana.edu/cbo/ and at BioPortal (http://bioportal.bioontology.org/ontologies/CBO). Contact: jsluka@indiana.edu or Glazier@indiana.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-41335802014-08-18 The cell behavior ontology: describing the intrinsic biological behaviors of real and model cells seen as active agents Sluka, James P. Shirinifard, Abbas Swat, Maciej Cosmanescu, Alin Heiland, Randy W. Glazier, James A. Bioinformatics Original Papers Motivation: Currently, there are no ontologies capable of describing both the spatial organization of groups of cells and the behaviors of those cells. The lack of a formalized method for describing the spatiality and intrinsic biological behaviors of cells makes it difficult to adequately describe cells, tissues and organs as spatial objects in living tissues, in vitro assays and in computational models of tissues. Results: We have developed an OWL-2 ontology to describe the intrinsic physical and biological characteristics of cells and tissues. The Cell Behavior Ontology (CBO) provides a basis for describing the spatial and observable behaviors of cells and extracellular components suitable for describing in vivo, in vitro and in silico multicell systems. Using the CBO, a modeler can create a meta-model of a simulation of a biological model and link that meta-model to experiment or simulation results. Annotation of a multicell model and its computational representation, using the CBO, makes the statement of the underlying biology explicit. The formal representation of such biological abstraction facilitates the validation, falsification, discovery, sharing and reuse of both models and experimental data. Availability and implementation: The CBO, developed using Protégé 4, is available at http://cbo.biocomplexity.indiana.edu/cbo/ and at BioPortal (http://bioportal.bioontology.org/ontologies/CBO). Contact: jsluka@indiana.edu or Glazier@indiana.edu Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2014-08-15 2014-04-22 /pmc/articles/PMC4133580/ /pubmed/24755304 http://dx.doi.org/10.1093/bioinformatics/btu210 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Papers
Sluka, James P.
Shirinifard, Abbas
Swat, Maciej
Cosmanescu, Alin
Heiland, Randy W.
Glazier, James A.
The cell behavior ontology: describing the intrinsic biological behaviors of real and model cells seen as active agents
title The cell behavior ontology: describing the intrinsic biological behaviors of real and model cells seen as active agents
title_full The cell behavior ontology: describing the intrinsic biological behaviors of real and model cells seen as active agents
title_fullStr The cell behavior ontology: describing the intrinsic biological behaviors of real and model cells seen as active agents
title_full_unstemmed The cell behavior ontology: describing the intrinsic biological behaviors of real and model cells seen as active agents
title_short The cell behavior ontology: describing the intrinsic biological behaviors of real and model cells seen as active agents
title_sort cell behavior ontology: describing the intrinsic biological behaviors of real and model cells seen as active agents
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4133580/
https://www.ncbi.nlm.nih.gov/pubmed/24755304
http://dx.doi.org/10.1093/bioinformatics/btu210
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