Mining functional annotations across species

Motivation Numerous tools and databases exist to annotate and interpret the functions encoded in genomes (InterProScan, KEGG, GO etc.). However, analyzing and comparing functionality across a number of genomes, for example of related species, is not trivial. Results We present a novel approach, for which KEGG and Gene Ontology data are imported into a Neo4j graph database and InterProScan results from several species are added. Using the Neo4j plugin for Cytoscape, users can query this database and visualize functional annotations (sub)graphs, to compare and group functional annotation across species.