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Region Evolution eXplorer – A tool for discovering evolution trends in ontology regions

BACKGROUND: A large number of life science ontologies has been developed to support different application scenarios such as gene annotation or functional analysis. The continuous accumulation of new insights and knowledge affects specific portions in ontologies and thus leads to their adaptation. Th...

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Autores principales: Christen, Victor, Hartung, Michael, Groß, Anika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4450457/
https://www.ncbi.nlm.nih.gov/pubmed/26034559
http://dx.doi.org/10.1186/s13326-015-0020-6
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author Christen, Victor
Hartung, Michael
Groß, Anika
author_facet Christen, Victor
Hartung, Michael
Groß, Anika
author_sort Christen, Victor
collection PubMed
description BACKGROUND: A large number of life science ontologies has been developed to support different application scenarios such as gene annotation or functional analysis. The continuous accumulation of new insights and knowledge affects specific portions in ontologies and thus leads to their adaptation. Therefore, it is valuable to study which ontology parts have been extensively modified or remained unchanged. Users can monitor the evolution of an ontology to improve its further development or apply the knowledge in their applications. RESULTS: Here we present REX (Region Evolution eXplorer) a web-based system for exploring the evolution of ontology parts (regions). REX provides an analysis platform for currently about 1,000 versions of 16 well-known life science ontologies. Interactive workflows allow an explorative analysis of changing ontology regions and can be used to study evolution trends for long-term periods. CONCLUSION: REX is a web application providing an interactive and user-friendly interface to identify (un)stable regions in large life science ontologies. It is available at http://www.izbi.de/rex. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13326-015-0020-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-44504572015-06-02 Region Evolution eXplorer – A tool for discovering evolution trends in ontology regions Christen, Victor Hartung, Michael Groß, Anika J Biomed Semantics Research Article BACKGROUND: A large number of life science ontologies has been developed to support different application scenarios such as gene annotation or functional analysis. The continuous accumulation of new insights and knowledge affects specific portions in ontologies and thus leads to their adaptation. Therefore, it is valuable to study which ontology parts have been extensively modified or remained unchanged. Users can monitor the evolution of an ontology to improve its further development or apply the knowledge in their applications. RESULTS: Here we present REX (Region Evolution eXplorer) a web-based system for exploring the evolution of ontology parts (regions). REX provides an analysis platform for currently about 1,000 versions of 16 well-known life science ontologies. Interactive workflows allow an explorative analysis of changing ontology regions and can be used to study evolution trends for long-term periods. CONCLUSION: REX is a web application providing an interactive and user-friendly interface to identify (un)stable regions in large life science ontologies. It is available at http://www.izbi.de/rex. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13326-015-0020-6) contains supplementary material, which is available to authorized users. BioMed Central 2015-06-01 /pmc/articles/PMC4450457/ /pubmed/26034559 http://dx.doi.org/10.1186/s13326-015-0020-6 Text en © Christen et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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 Article
Christen, Victor
Hartung, Michael
Groß, Anika
Region Evolution eXplorer – A tool for discovering evolution trends in ontology regions
title Region Evolution eXplorer – A tool for discovering evolution trends in ontology regions
title_full Region Evolution eXplorer – A tool for discovering evolution trends in ontology regions
title_fullStr Region Evolution eXplorer – A tool for discovering evolution trends in ontology regions
title_full_unstemmed Region Evolution eXplorer – A tool for discovering evolution trends in ontology regions
title_short Region Evolution eXplorer – A tool for discovering evolution trends in ontology regions
title_sort region evolution explorer – a tool for discovering evolution trends in ontology regions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4450457/
https://www.ncbi.nlm.nih.gov/pubmed/26034559
http://dx.doi.org/10.1186/s13326-015-0020-6
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