10.6084/m9.figshare.7326662.v1 Thierry Lombardot Thierry Lombardot Anne Morgat Anne Morgat Sebastien Gehant Sebastien Gehant Nicole Redaschi Nicole Redaschi Alan Bridge Alan Bridge The Rhea SPARQL endpoint supports integrated analyses of genome, proteome and metabolome Semantic Web Applications and Tools for Healthcare and Life Sciences 2018 Biochemical reactions metabolites RDF Rhea SPARQL Bioinformatics 2018-12-01 07:54:11 Journal contribution https://swat4hcls.figshare.com/articles/journal_contribution/The_Rhea_SPARQL_endpoint_supports_integrated_analyses_of_genome_proteome_and_metabolome/7326662 ‘Omics technologies enable comprehensive analyses of how genetic variation (genomics), gene expression patterns (transcriptomics), proteins and complexes (proteomics), and<br>small molecules (metabolomics) interact in complex biological systems. RDF and SPARQL can connect these ‘omics domains and help us realize the full potential of this valuable experimental data.<br>Rhea is a comprehensive and non-redundant resource of expert-curated biochemical reactions based on the ChEBI ontology. Here we demonstrate how to link genome (Ensembl), proteome (UniProt), and metabolome (ChEBI) data using federated queries that leverage the SPARQL<br>endpoint of Rhea (https://sparql.rhea-db.org/sparql) and data from these other resources.