Ontologies have long been employed in the life sciences to formally represent and reason
over domain knowledge and they are employed in almost every major biological database …

Deep phenoty** has been defined as the precise and comprehensive analysis of
phenotypic abnormalities in which the individual components of the phenotype are observed …

Background Stratification of patients with post-acute sequelae of SARS-CoV-2 infection
(PASC, or long COVID) would allow precision clinical management strategies. However …

Gene Ontology (GO) annotation is often used to guide the biological interpretation of high-
throughput omics experiments, eg by analysing lists of differentially regulated genes for …

Computational drug repurposing aims to identify new indications for existing drugs by
utilizing high-throughput data, often in the form of biomedical knowledge graphs. However …

Deep phenoty** has been defined as the precise and comprehensive analysis of
phenotypic abnormalities in which the individual components of the phenotype are observed …

Outcomes of high-throughput biological experiments are typically interpreted by statistical
testing for enriched gene functional categories defined by the Gene Ontology (GO). The …

Cellular processes often depend on stable physical associations between proteins. Despite
recent progress, knowledge of the composition of human protein complexes remains limited …

We have developed a new COFACTOR webserver for automated structure-based protein
function annotation. Starting from a structural model, given by either experimental …

The semantic comparisons of Gene Ontology (GO) annotations provide quantitative ways to
compute similarities between genes and gene groups, and have became important basis for …