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BioModels: ten-year anniversary

BioModels (http://www.ebi.ac.uk/biomodels/) is a repository of mathematical models of biological processes. A large set of models is curated to verify both correspondence to the biological process that the model seeks to represent, and reproducibility of the simulation results as described in the co...

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Autores principales: Chelliah, Vijayalakshmi, Juty, Nick, Ajmera, Ishan, Ali, Raza, Dumousseau, Marine, Glont, Mihai, Hucka, Michael, Jalowicki, Gaël, Keating, Sarah, Knight-Schrijver, Vincent, Lloret-Villas, Audald, Natarajan, Kedar Nath, Pettit, Jean-Baptiste, Rodriguez, Nicolas, Schubert, Michael, Wimalaratne, Sarala M., Zhao, Yangyang, Hermjakob, Henning, Le Novère, Nicolas, Laibe, Camille
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383975/
https://www.ncbi.nlm.nih.gov/pubmed/25414348
http://dx.doi.org/10.1093/nar/gku1181
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author Chelliah, Vijayalakshmi
Juty, Nick
Ajmera, Ishan
Ali, Raza
Dumousseau, Marine
Glont, Mihai
Hucka, Michael
Jalowicki, Gaël
Keating, Sarah
Knight-Schrijver, Vincent
Lloret-Villas, Audald
Natarajan, Kedar Nath
Pettit, Jean-Baptiste
Rodriguez, Nicolas
Schubert, Michael
Wimalaratne, Sarala M.
Zhao, Yangyang
Hermjakob, Henning
Le Novère, Nicolas
Laibe, Camille
author_facet Chelliah, Vijayalakshmi
Juty, Nick
Ajmera, Ishan
Ali, Raza
Dumousseau, Marine
Glont, Mihai
Hucka, Michael
Jalowicki, Gaël
Keating, Sarah
Knight-Schrijver, Vincent
Lloret-Villas, Audald
Natarajan, Kedar Nath
Pettit, Jean-Baptiste
Rodriguez, Nicolas
Schubert, Michael
Wimalaratne, Sarala M.
Zhao, Yangyang
Hermjakob, Henning
Le Novère, Nicolas
Laibe, Camille
author_sort Chelliah, Vijayalakshmi
collection PubMed
description BioModels (http://www.ebi.ac.uk/biomodels/) is a repository of mathematical models of biological processes. A large set of models is curated to verify both correspondence to the biological process that the model seeks to represent, and reproducibility of the simulation results as described in the corresponding peer-reviewed publication. Many models submitted to the database are annotated, cross-referencing its components to external resources such as database records, and terms from controlled vocabularies and ontologies. BioModels comprises two main branches: one is composed of models derived from literature, while the second is generated through automated processes. BioModels currently hosts over 1200 models derived directly from the literature, as well as in excess of 140 000 models automatically generated from pathway resources. This represents an approximate 60-fold growth for literature-based model numbers alone, since BioModels’ first release a decade ago. This article describes updates to the resource over this period, which include changes to the user interface, the annotation profiles of models in the curation pipeline, major infrastructure changes, ability to perform online simulations and the availability of model content in Linked Data form. We also outline planned improvements to cope with a diverse array of new challenges.
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spelling pubmed-43839752015-04-08 BioModels: ten-year anniversary Chelliah, Vijayalakshmi Juty, Nick Ajmera, Ishan Ali, Raza Dumousseau, Marine Glont, Mihai Hucka, Michael Jalowicki, Gaël Keating, Sarah Knight-Schrijver, Vincent Lloret-Villas, Audald Natarajan, Kedar Nath Pettit, Jean-Baptiste Rodriguez, Nicolas Schubert, Michael Wimalaratne, Sarala M. Zhao, Yangyang Hermjakob, Henning Le Novère, Nicolas Laibe, Camille Nucleic Acids Res Database Issue BioModels (http://www.ebi.ac.uk/biomodels/) is a repository of mathematical models of biological processes. A large set of models is curated to verify both correspondence to the biological process that the model seeks to represent, and reproducibility of the simulation results as described in the corresponding peer-reviewed publication. Many models submitted to the database are annotated, cross-referencing its components to external resources such as database records, and terms from controlled vocabularies and ontologies. BioModels comprises two main branches: one is composed of models derived from literature, while the second is generated through automated processes. BioModels currently hosts over 1200 models derived directly from the literature, as well as in excess of 140 000 models automatically generated from pathway resources. This represents an approximate 60-fold growth for literature-based model numbers alone, since BioModels’ first release a decade ago. This article describes updates to the resource over this period, which include changes to the user interface, the annotation profiles of models in the curation pipeline, major infrastructure changes, ability to perform online simulations and the availability of model content in Linked Data form. We also outline planned improvements to cope with a diverse array of new challenges. Oxford University Press 2014-11-20 2015-01-28 /pmc/articles/PMC4383975/ /pubmed/25414348 http://dx.doi.org/10.1093/nar/gku1181 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Chelliah, Vijayalakshmi
Juty, Nick
Ajmera, Ishan
Ali, Raza
Dumousseau, Marine
Glont, Mihai
Hucka, Michael
Jalowicki, Gaël
Keating, Sarah
Knight-Schrijver, Vincent
Lloret-Villas, Audald
Natarajan, Kedar Nath
Pettit, Jean-Baptiste
Rodriguez, Nicolas
Schubert, Michael
Wimalaratne, Sarala M.
Zhao, Yangyang
Hermjakob, Henning
Le Novère, Nicolas
Laibe, Camille
BioModels: ten-year anniversary
title BioModels: ten-year anniversary
title_full BioModels: ten-year anniversary
title_fullStr BioModels: ten-year anniversary
title_full_unstemmed BioModels: ten-year anniversary
title_short BioModels: ten-year anniversary
title_sort biomodels: ten-year anniversary
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383975/
https://www.ncbi.nlm.nih.gov/pubmed/25414348
http://dx.doi.org/10.1093/nar/gku1181
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