Reactome and the Gene Ontology: Digital convergence of data resources.

Document Type

Article

Publication Date

10-1-2021

Publication Title

Bioinformatics (Oxford, England)

Keywords

JMG

JAX Source

Bioinformatics 2021 Oct 1; 37(19):3343-3348

Volume

37

Issue

19

First Page

3343

Last Page

3348

ISSN

1367-4811

PMID

33964129

DOI

https://doi.org/10.1093/bioinformatics/btab325

Abstract

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.

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