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November 05, 2008, at 07:14 PM MST by Asa -
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The profusion of high-throughput instruments and the explosion of new results in the scientific
literature, particularly in molecular biomedicine, is both a blessing and a curse to the bench
researcher. Even knowledgable and experienced scientists can benefit from computational tools
that help navigate this vast and rapidly evolving terrain. However, effective design and
implementation of computational tools that genuinely facilitate the generation of novel and
significant scientific insights remains poorly understood. In this talk, I will describe a set
of efforts that combines natural language processing for information extraction, graphical
network models for semantic data integration, and some novel user interface approaches into a
system that has recently played a pivotal role in making a significant biomedical discovery.
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