GOcats: A tool for categorizing Gene Ontology into subgraphs of user-defined concepts.

ABSTRACT: Gene Ontology is used extensively in scientific knowledgebases and repositories to organize a wealth of biological information. However, interpreting annotations derived from differential gene lists is often difficult without manually sorting into higher-order categories. To address these issues, we present GOcats, a novel tool that organizes the Gene Ontology (GO) into subgraphs representing user-defined concepts, while ensuring that all appropriate relations are congruent with respect to scoping semantics. We tested GOcats performance using subcellular location categories to mine annotations from GO-utilizing knowledgebases and evaluated their accuracy against immunohistochemistry datasets in the Human Protein Atlas (HPA). In comparison to term categorizations generated from UniProt's co

SUBMITTER: Hinderer EW 

PROVIDER: S-EPMC7289357 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature