THE BIOMEDICAL INFORMATICS RESEARCH NETWORK: TERAGRID UTILIZATION PROPOSAL TO N

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This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. This renewal proposal builds upon current success in BIRNs utilization of TeraGrid, continues to advance the use of TeraGrid with appropriate BIRN projects and furthers the integration of TeraGrid and BIRN resources. Neuroscience is being driven by exciting technological advances in instrumentation, computing, telecommunications, and information technology, providing researchers a powerful new arsenal for investigating previously intractable problems. Computational techniques combined with new and existing imaging devices are providing unprecedented opportunities to investigate these problems. Such grand scientific expectations, however, mask a daunting problem: How do we efficiently store, manage, curate, access, visualize, and analyze the volumes of data being collected. In this application we describe the progress whereby the computational resources provided by TeraGrid were utilized in conjunction with the BIRN infrastructure to analyze biomedical data sets of relevance to the clinical research enterprise. These current projects (section 2) include advanced shape analysis of brain structures and the implementation of advanced tomographic reconstruction techniques. We then detail plans for continued efforts, were we propose to use TeraGrid to (1) leverage TeraGrid resources for large scale analysis of data from a large distributed study of schizophrenia (section 3.1) and (2) continue to adapt BIRN services and additional analysis methods to TeraGrid (section 3.2). The overarching goal of this proposal is to ensure that current and new projects continue to be fostered and developed so that they benefit from the combination of BIRN and TeraGrid resources thereby continuing to encourage the use of supercomputing facilities for basic clinical and neuroscience research.