THE BIOMEDICAL INFORMATICS RESEARCH NETWORK: TERAGRID UTILIZATION PROPOSAL TO N

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 这项更新建议建立在目前BINS利用TeraGrid的成功基础上，继续通过适当的BIRN项目推进TeraGrid的使用，进一步整合TeraGrid和BIRN资源，并通过社区门户(即科学门户)进一步向更大的科学界开放TeraGrid资源的使用。神经科学正受到仪器、计算、电信和信息技术领域令人兴奋的技术进步的推动，为研究人员提供了一个强大的新武器库来研究以前难以解决的问题。计算技术与新的和现有的成像设备相结合，为研究这些问题提供了前所未有的机会。然而，如此宏大的科学期望掩盖了一个令人生畏的问题：我们如何有效地存储、管理、管理、访问、可视化和分析正在收集的海量数据。在本申请中，我们描述了利用TeraGrid提供的计算资源与BIRN基础设施一起分析与临床研究企业相关的生物医学数据集的进展。这些目前的项目(第2部分)包括先进的大脑结构形状分析和先进的断层重建技术的实施。然后，我们详细介绍了继续和扩大这些成功努力的计划，并建议(第3节)(1)部署已经开发的BIRN服务，以提供对计算资源的访问，以便(2)需要访问第2节所述高级分析方法的更多研究人员可以通过基于社区的门户(即科学门户)来利用TeraGrid资源。这项提议的总体目标是确保继续促进和发展现有的和新的项目，使它们受益于BIRN和TeraGrid资源的结合，从而继续鼓励将超级计算设施用于基础临床和神经科学研究。

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, furthers the integration of TeraGrid and BIRN resources, and further opens the use of TeraGrid resources to the larger scientific community through a community portal (i.e. science gateway). 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 to continue and broaden these successful efforts and propose (section 3) to (1) deploy BIRN services that have been developed to provide access to computing resources so that (2) a larger group of researchers which need access to the advanced analysis methods described in section 2 can leverage TeraGrid resources through a community based portal (i.e. science gateway). 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.