Bio2RDF: A Semantic Web Atlas of Post Genomic Knowledge about Human and Mouse

Authors:
François Belleau;Nicole Tourigny;Benjamin Good;Jean Morissette
Affiliations:
Centre de Recherche du CHUL, Université Laval, Département d'informatique et de génie logiciel, Université Laval, Bioinformatics Graduate Program, iCAPTURE Centre for Heart and ...;Centre de Recherche du CHUL, Université Laval, Département d'informatique et de génie logiciel, Université Laval, Bioinformatics Graduate Program, iCAPTURE Centre for Heart and ...;Centre de Recherche du CHUL, Université Laval, Département d'informatique et de génie logiciel, Université Laval, Bioinformatics Graduate Program, iCAPTURE Centre for Heart and ...;Centre de Recherche du CHUL, Université Laval, Département d'informatique et de génie logiciel, Université Laval, Bioinformatics Graduate Program, iCAPTURE Centre for Heart and ...
Venue:
DILS '08 Proceedings of the 5th international workshop on Data Integration in the Life Sciences
Year:
2008

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Abstract

The Bio2RDF project uses a data integration approach based on semantic web rules to answer a broad question: What is known about the mouse and human genomes? Using its rdfizing services, a semantic mashup of 65 million triples was built from 30 public bioinformatics data providers: GO, NCBI, UniProt, KEGG, PDB and many others. The average link-rank (ALR) of a node is 4.7 which means that a usual topic is connected to 4.7 other topics by direct or reverse links within the warehouse. A knowledge map of the graph and descriptive statistics about its content are presented. A downloadable version of the Bio2RDF Atlas graph in N3 format is available at http://bio2rdf.org/download.