Molecular Information Fusion in Ondex

摘要: Current biological knowledge is buried in hundreds of proprietary and public life-science databases available on the World Wide Web (WWW) millions scientific publications. Gaining access to this can prove difficult as each database may provide different tools query or show data differ their structure user interface uses a interpretation than others. Systems approaches research require that existing (data) made support one hand analysis experimental results other construction enrichment models. Data integration methods are being developed address these issues by providing consolidated view molecular information fused together from multiple databases. However, key challenge for identification links between closely related entries life sciences when there no direct provides reliable cross reference. Here we describe evaluate three context graph-based framework (the Ondex system). We give quantitative evaluation performance two situations: metabolic pathways resources mapping equivalent elements Gene Ontology nomenclature describing enzyme function.