This subproject is one of many research subprojects utilizing theresources provided by a Center grant funded by NIH/NCRR. The subproject andinvestigator (PI) may have received primary funding from another NIH source,and thus could be represented in other CRISP entries. The institution listed isfor the Center, which is not necessarily the institution for the investigator.The future of genomics-enabled medicine depends on the creation of tools that allow scientists to explore the relationships between specific genetic characters and specific disease outcomes. While the practical realization of genomics-enabled medicine is far in the future, we are beginning to explore the landscape of tools that will be required to accomplish this. Important elements of this landscape include tools that collect and organize laboratory data (LIMS), tools that quantitate cellular responses to particular stimuli (microarray analysis) and tools that enable the discovery of new pharmaceuticals (virtual screening of lead compounds). Each of these techniques has, at its core, the use of high end computation and high end data storage and integration. While the City of Hope has access to facilities that are adequate for our current needs, we are still limited both by data access and by computational needs: with a tightly integrated HPC/DB system, we believe we can push forward the limits of what can be accomplished in genomics-enabled medicine. We are requesting data storage space along with HEC resources (under separate proposal) to create a tightly integrated system to analyze the results of work in progress in my group at City of Hope. The data storage areas will be used to support computations conducted on allocated SDSC resources. We plan to release the results of these experiments to the public as the full capabilities of the system become clear.
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