MRI: Acquisition of Computing Equipment for Supporting Data-Intensive Bioinformatics Research at the University of Kansas

提案#：13-37899PI(S)：Huan，Jun Blumenstiel，Justin P.；Kuczera，Krzysztof；Peterson，A.Townsend；Vakser，Ilya A.机构：堪萨斯大学标题：核磁共振/Acq：支持数据密集型生物信息学研究的计算设备建议：该项目收购多核混合网络基础设施工具，旨在支持和支持几个需要处理和/或存储大数据和/或复杂数据的研究。该设备服务于数据和计算密集型生物信息学研究的关键领域，主要是高通量测序数据分析、分子动力学模拟、细胞信号和分子识别、计算化学生物学、环境和进化生物学。该仪器提供了一个开放、可扩展和可扩展的平台来支持数据密集型科学项目，为利用先进的多核架构开发计算和模拟方法以及支持大规模数据分析需求提供了试验台。该项目响应了数据驱动科学的明显趋势，其中来自自动测序仪器、高通量筛选系统和其他高量分析技术的大量信息被挖掘和分析，以寻找可以开发假设的模式。随着数据驱动的科学作为洞察力的来源，对生物结构和过程的详细建模和模拟正在成为测试模型、评估实验方法和解释结果不可或缺的工具。评估和解释推动了对广泛研究的需求。此次收购支持当前的需求和近期的研究目标，旨在保持在计算密集型研究中的前沿地位。广泛影响：仪器影响其支持的研究。它也很好地与机构-S战略倡议保持一致，它支持并有助于寻找其他研究机会倡议，如BigData和XSEDE(极端科学与工程发现环境)。该设备增加了研究生的研究机会，增加了学生在课程工作中获得并行计算经验的机会，并在该机构和周围地区建立了更广泛的高性能并行计算基础。S工程学院的多样性项目将帮助从代表性不足的群体中寻找合格的学生，并帮助招收和留住可能获得奖学金的妇女和少数民族。计算资源应该在该地区产生重大影响。与堪萨斯IDEA生物医学研究卓越网络生物信息学核心合作，生物信息学专业知识将被提供给少数族裔和本科服务的学校。

Proposal #: 13-37899PI(s): Huan, Jun Blumenstiel, Justin P.; Kuczera, Krzysztof; Peterson, A. Townsend; Vakser, Ilya A.Institution: University of KansasTitle: MRI/Acq.: Computing Equipment for Supporting Data-intensive Bioinformatics ResearchProject Proposed:This project, acquiring a multicore hybrid cyberinfrastructure instrument, aims to enable and empower several lines of research requiring processing and/or storage of big and complex data. The equipment services critical areas in data and computing intensive bioinformatics research, mainly high-throughput sequencing data analysis, molecular dynamics simulation, cell signaling and molecular recognition, computational chemical biology environmental and evolutionary biology. Providing an open, extensible, and scalable platform to support data-intensive science programs, the instrumentation serves as a testbed for computing and simulation methodology development utilizing advanced multi-core architecture as well as supporting large-scale data analysis needs. The project responds to the clear trend towards data driven science, in which large amounts of information coming from instruments for automated sequencing, high throughput screening systems, and other high volume analysis techniques, is mined and analyzed to look for patterns from which hypotheses can be developed. Along with data-driven science as a source of insights, detailed modeling and simulation of biological structures and processes are becoming indispensable tools to test models, to evaluate experimental methodologies, and to interpret the results. Evaluation and interpretation drive the need across a broad spectrum of research. This acquisition supports the current need and near-term research goals and aims to maintain a forward position in computationally intensive research.Broader Impacts: The instrumentation impacts the research it enables. It is also well aligned to the institution?s strategic initiative it enables and contributes in seeking other research opportunity initiatives such as BigData and XSEDE (eXtreme Science and Engineering Discovery Environment). The equipment enhances research opportunities for graduate students, increasing opportunities for student to gain experience in parallel computing as part of course work, and establishes a broader high-performance parallel computing base within the institution and the surrounding region. The School of Engineering?s Diversity Programs will help identify qualified students from underrepresented groups and assist with the recruitment and retention for women and minorities possibly with scholarships. The computing resource should have significant impact in the region. Working with the Kansas IDeA Network for Biomedical Research Excellence Bioinformatics core, bioinformatics expertise will be delivered to minority and undergraduate-serving schools.