Video Link: https://www.youtube.com/watch?v=X_3ap1Ky3oI

07-05-2012 15:22 High-throughput technology and the data it generates is evolving and advancing basic science into clinical science and personalized medicine. But while currently available methods exist to rapidly and efficiently produce DNA, epigenetic, and RNA whole-genome profiles from individual tissue samples and cell lines, data analysis and deconvolution remain challenging. To address this issue, methods of knowledge-based functional analysis such as ontology enrichment, interactome, and causal networks have been developed. These analyses rely on databases designed to accommodate complex aspects of mammalian functionality, for example, coordinated expression of multiple genes to effect a single function, RNA splice variants, or protein isoforms. Webinar participants will discuss knowledge-based analytical methods, and how they can be used for functional analysis of OMICs datasets by cheminformatics and bioinformatics software tools such as network-generation algorithms, ontology enrichment, interactome calculations, and pathway modeling. The application of these analytical methods to advances in understanding breast tumor heterogeneity and the potential development of a targeted therapy based on this knowledge will also be discussed.

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Advancing Genomics into Personalized Medicine - Video

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