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

MRI：采购计算设备以支持堪萨斯大学的数据密集型生物信息学研究

• 批准号: 1337899
• 负责人: Krzysztof Kuczera
• 金额: $ 50万
• 依托单位: University of Kansas Center for Research Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1337899&HistoricalAwards=false
• 关键词: MRI; Acquisition; Computing; Equipment; Supporting

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.

提案编号：13- 37899 PI（s）：Huan、Jun Blumenstiel、Justin P.; Kuczera，Krzysztof; Peterson，A.汤森; Vakser，Ilya A.机构：堪萨斯大学标题： MRI/采集：支持数据密集型生物信息学研究的计算设备项目建议：该项目获得了一个多核混合网络基础设施工具，旨在实现和授权需要处理和/或存储大而复杂数据的几条研究线。 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，细胞信号传导和分子识别，计算化学生物学环境和进化生物学。提供一个开放的，可扩展的，可扩展的平台，以支持数据密集型科学计划，仪器作为一个测试平台，计算和仿真方法的开发利用先进的多核架构，以及支持大规模的数据分析需求。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容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。沿着数据驱动的科学作为洞察力的来源，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的不可或缺的工具。评估和解释推动了广泛的研究需求。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的前沿地位。更广泛的影响：仪器影响它使研究。它也很好地与该机构保持一致？作为一项战略举措，它支持并有助于寻求其他研究机会举措，如BigData和XSEDE（极限科学与工程发现环境）。该设备增强了研究生的研究机会，增加了学生获得并行计算经验的机会，作为课程工作的一部分，并在机构和周边地区建立了更广泛的高性能并行计算基础。工程学院？多样性方案将帮助从代表性不足的群体中确定合格的学生，并协助妇女和少数民族的招聘和保留，可能提供奖学金。计算资源应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提供给少数民族和本科生服务学校。