Finding gene regulatory network candidates using the gene expression knowledge base
Network-based approaches for the analysis of large-scale genomics data have become well established. Biological networks provide a knowledge scaffold against which the patterns and dynamics of omics data can be interpreted. The background information required for the construction of such networks is often dispersed across a multitude of knowledge bases in a variety of formats. The seamless integration of this information is one of the main challenges in bioinformatics. The Semantic Web offers powerful technologies for the assembly of integrated knowledge bases that are computationally comprehensible, thereby providing a potentially powerful resource for constructing biological networks and network-based analysis.
gene expression semantic web knowledge management knowledge representation semantic systems biology rdf sparql network extension transcription regulation protein-protein interaction transcription factor target gene interaction hypothesis assessment gastrin biology