Semantic representation of neural circuit knowledge in Caenorhabditis elegans.

ABSTRACT: In modern biology, new knowledge is generated quickly, making it challenging for researchers to efficiently acquire and synthesise new information from the large volume of primary publications. To address this problem, computational approaches that generate machine-readable representations of scientific findings in the form of knowledge graphs have been developed. These representations can integrate different types of experimental data from multiple papers and biological knowledge bases in a unifying data model, providing a complementary method to manual review for interacting with published knowledge. The Gene Ontology Consortium (GOC) has created a semantic modelling framework that extends individual functional gene annotations to structured descriptions of causal networks representing b

SUBMITTER: Prakash SJ 

PROVIDER: S-EPMC10638142 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature