Reactome and the Gene Ontology: digital convergence of data resources.
Journal
Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944
Informations de publication
Date de publication:
11 Oct 2021
11 Oct 2021
Historique:
received:
23
12
2020
revised:
18
03
2021
accepted:
27
04
2021
medline:
9
5
2021
pubmed:
9
5
2021
entrez:
8
5
2021
Statut:
ppublish
Résumé
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. 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 data are available at Bioinformatics online.
Identifiants
pubmed: 33964129
pii: 6272572
doi: 10.1093/bioinformatics/btab325
pmc: PMC8504636
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
3343-3348Subventions
Organisme : NHGRI NIH HHS
ID : U41 HG002273
Pays : United States
Organisme : NHGRI NIH HHS
ID : U41 HG003751
Pays : United States
Organisme : NIH HHS
ID : U41 HG02273
Pays : United States
Informations de copyright
© The Author(s) 2021. Published by Oxford University Press.
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