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Reactome and the Gene Ontology: digital convergence of data resources

MOTIVATION: Gene Ontology Causal Activity Models (GO-CAMs) assemble individual associations of gene products with cellular components, molecular functions and biological processes into causally linked activity flow models. Pathway databases such as the Reactome Knowledgebase create detailed molecula...

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Autores principales: Good, Benjamin M, Van Auken, Kimberly, Hill, David P, Mi, Huaiyu, Carbon, Seth, Balhoff, James P, Albou, Laurent-Philippe, Thomas, Paul D, Mungall, Christopher J, Blake, Judith A, D’Eustachio, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8504636/
https://www.ncbi.nlm.nih.gov/pubmed/33964129
http://dx.doi.org/10.1093/bioinformatics/btab325
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author Good, Benjamin M
Van Auken, Kimberly
Hill, David P
Mi, Huaiyu
Carbon, Seth
Balhoff, James P
Albou, Laurent-Philippe
Thomas, Paul D
Mungall, Christopher J
Blake, Judith A
D’Eustachio, Peter
author_facet Good, Benjamin M
Van Auken, Kimberly
Hill, David P
Mi, Huaiyu
Carbon, Seth
Balhoff, James P
Albou, Laurent-Philippe
Thomas, Paul D
Mungall, Christopher J
Blake, Judith A
D’Eustachio, Peter
author_sort Good, Benjamin M
collection PubMed
description MOTIVATION: Gene Ontology Causal Activity Models (GO-CAMs) assemble individual associations of gene products with cellular components, molecular functions and biological processes into causally linked activity flow models. Pathway databases such as the Reactome Knowledgebase create detailed molecular process descriptions of reactions and assemble them, based on sharing of entities between individual reactions into pathway descriptions. RESULTS: To convert the rich content of Reactome into GO-CAMs, we have developed a software tool, Pathways2GO, to convert the entire set of normal human Reactome pathways into GO-CAMs. This conversion yields standard GO annotations from Reactome content and supports enhanced quality control for both Reactome and GO, yielding a nearly seamless conversion between these two resources for the bioinformatics community. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-85046362021-10-13 Reactome and the Gene Ontology: digital convergence of data resources Good, Benjamin M Van Auken, Kimberly Hill, David P Mi, Huaiyu Carbon, Seth Balhoff, James P Albou, Laurent-Philippe Thomas, Paul D Mungall, Christopher J Blake, Judith A D’Eustachio, Peter Bioinformatics Original Papers MOTIVATION: Gene Ontology Causal Activity Models (GO-CAMs) assemble individual associations of gene products with cellular components, molecular functions and biological processes into causally linked activity flow models. Pathway databases such as the Reactome Knowledgebase create detailed molecular process descriptions of reactions and assemble them, based on sharing of entities between individual reactions into pathway descriptions. RESULTS: To convert the rich content of Reactome into GO-CAMs, we have developed a software tool, Pathways2GO, to convert the entire set of normal human Reactome pathways into GO-CAMs. This conversion yields standard GO annotations from Reactome content and supports enhanced quality control for both Reactome and GO, yielding a nearly seamless conversion between these two resources for the bioinformatics community. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2021-05-08 /pmc/articles/PMC8504636/ /pubmed/33964129 http://dx.doi.org/10.1093/bioinformatics/btab325 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (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 Original Papers
Good, Benjamin M
Van Auken, Kimberly
Hill, David P
Mi, Huaiyu
Carbon, Seth
Balhoff, James P
Albou, Laurent-Philippe
Thomas, Paul D
Mungall, Christopher J
Blake, Judith A
D’Eustachio, Peter
Reactome and the Gene Ontology: digital convergence of data resources
title Reactome and the Gene Ontology: digital convergence of data resources
title_full Reactome and the Gene Ontology: digital convergence of data resources
title_fullStr Reactome and the Gene Ontology: digital convergence of data resources
title_full_unstemmed Reactome and the Gene Ontology: digital convergence of data resources
title_short Reactome and the Gene Ontology: digital convergence of data resources
title_sort reactome and the gene ontology: digital convergence of data resources
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8504636/
https://www.ncbi.nlm.nih.gov/pubmed/33964129
http://dx.doi.org/10.1093/bioinformatics/btab325
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