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BioModels linked dataset
BACKGROUND: BioModels Database is a reference repository of mathematical models used in biology. Models are stored as SBML files on a file system and metadata is provided in a relational database. Models can be retrieved through a web interface and programmatically via web services. In addition to t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4423647/ https://www.ncbi.nlm.nih.gov/pubmed/25182954 http://dx.doi.org/10.1186/s12918-014-0091-5 |
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author | Wimalaratne, Sarala M Grenon, Pierre Hermjakob, Henning Le Novère, Nicolas Laibe, Camille |
author_facet | Wimalaratne, Sarala M Grenon, Pierre Hermjakob, Henning Le Novère, Nicolas Laibe, Camille |
author_sort | Wimalaratne, Sarala M |
collection | PubMed |
description | BACKGROUND: BioModels Database is a reference repository of mathematical models used in biology. Models are stored as SBML files on a file system and metadata is provided in a relational database. Models can be retrieved through a web interface and programmatically via web services. In addition to those more traditional ways to access information, Linked Data using Semantic Web technologies (such as the Resource Description Framework, RDF), is becoming an increasingly popular means to describe and expose biological relevant data. RESULTS: We present the BioModels Linked Dataset, which exposes the models’ content as a dereferencable interlinked dataset. BioModels Linked Dataset makes use of the wealth of annotations available within a large number of manually curated models to link and integrate data and models from other resources. CONCLUSIONS: The BioModels Linked Dataset provides users with a dataset interoperable with other semantic web resources. It supports powerful search queries, some of which were not previously available to users and allow integration of data from multiple resources. This provides a distributed platform to find similar models for comparison, processing and enrichment. |
format | Online Article Text |
id | pubmed-4423647 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44236472015-05-08 BioModels linked dataset Wimalaratne, Sarala M Grenon, Pierre Hermjakob, Henning Le Novère, Nicolas Laibe, Camille BMC Syst Biol Methodology Article BACKGROUND: BioModels Database is a reference repository of mathematical models used in biology. Models are stored as SBML files on a file system and metadata is provided in a relational database. Models can be retrieved through a web interface and programmatically via web services. In addition to those more traditional ways to access information, Linked Data using Semantic Web technologies (such as the Resource Description Framework, RDF), is becoming an increasingly popular means to describe and expose biological relevant data. RESULTS: We present the BioModels Linked Dataset, which exposes the models’ content as a dereferencable interlinked dataset. BioModels Linked Dataset makes use of the wealth of annotations available within a large number of manually curated models to link and integrate data and models from other resources. CONCLUSIONS: The BioModels Linked Dataset provides users with a dataset interoperable with other semantic web resources. It supports powerful search queries, some of which were not previously available to users and allow integration of data from multiple resources. This provides a distributed platform to find similar models for comparison, processing and enrichment. BioMed Central 2014-08-15 /pmc/articles/PMC4423647/ /pubmed/25182954 http://dx.doi.org/10.1186/s12918-014-0091-5 Text en © Wimalaratne et al.; licensee BioMed Central 2014 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 credited. 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 | Methodology Article Wimalaratne, Sarala M Grenon, Pierre Hermjakob, Henning Le Novère, Nicolas Laibe, Camille BioModels linked dataset |
title | BioModels linked dataset |
title_full | BioModels linked dataset |
title_fullStr | BioModels linked dataset |
title_full_unstemmed | BioModels linked dataset |
title_short | BioModels linked dataset |
title_sort | biomodels linked dataset |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4423647/ https://www.ncbi.nlm.nih.gov/pubmed/25182954 http://dx.doi.org/10.1186/s12918-014-0091-5 |
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