Semantic Web Atlas: Putting Gene Expression Data into Biological Context.

We present an RDF representation of the Gene Expression Atlas (GXA) at the European Bioinformatics Institute. The RDF representation provides new opportunities for data integration, querying, error detection and curation. The GXA RDF connects to other EBI resources including Ensembl, UniProt and Reactome following linked data principles. These links enable queries across resources such as querying differential gene expression in the context of pathway and gene product functions. We show how the RDF representation of the GXA adds value to the existing data through a series of novel biological questions which interrogate the different resources and which were not previously possible through the existing GXA.