Our research focuses integrative cancer biology research for the purpose of translating genome-based knowledge into novel diagnostic, prognostic, therapeutic strategies in cancer research. In order to accomplish this, we have focused on the development of novel computational tools to integrate and interpret high-throughput genomic data collections to better understand cancer biology. For example, we have successfully developed tools for identifying clinical relevant gene fusions and novel long intergenic non-coding RNAs in prostate cancer. Building upon this work, we are actively integrating novel solid tumor genomics data collections to identify altered mutations and pathways, explore these alterations using in vitro and in vivo models, and ultimately work with clinicians to translate these findings into the clinic.

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