Cargando…

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...

Descripción completa

Detalles Bibliográficos
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
Descripción
Sumario: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.