Reactome and the Gene Ontology: Digital convergence of data resources.
Bioinformatics (Oxford, England)
Bioinformatics 2021 May 8:btab325 online ahead of print
MOTIVATION: GO 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 material is available at Bioinformatics online.
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.; and D'Eustachio, Peter, "Reactome and the Gene Ontology: Digital convergence of data resources." (2021). Faculty Research Ahead of Print. 280.