Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wimalaratne, Sarala M, Grenon, Pierre, Hermjakob, Henning, Le Novère, Nicolas, Laibe, Camille
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
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
_version_ 1782370243054665728
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
work_keys_str_mv AT wimalaratnesaralam biomodelslinkeddataset
AT grenonpierre biomodelslinkeddataset
AT hermjakobhenning biomodelslinkeddataset
AT lenoverenicolas biomodelslinkeddataset
AT laibecamille biomodelslinkeddataset