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.
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Belleau, F., Tourigny, N., Good, B., Morissette, J. (2008). Bio2RDF : A Semantic Web Atlas of Post Genomic Knowledge about Human and Mouse. In: Bairoch, A., Cohen-Boulakia, S., Froidevaux, C. (eds) Data Integration in the Life Sciences. DILS 2008. Lecture Notes in Computer Science(), vol 5109. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69828-9_15
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DOI: https://doi.org/10.1007/978-3-540-69828-9_15
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