I/UCRC Planning Grant: Computing and Genomics - An Essential Partnership for Biology Breakthroughs

I/UCRC 规划拨款：计算和基因组学——生物学突破的重要合作伙伴

• 批准号: 1439611
• 负责人: Liewei Wang
• 金额: $ 1.15万
• 依托单位: Mayo Clinic Rochester
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2015-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1439611&HistoricalAwards=false
• 关键词: UCRC; Planning; Grant; Computing; Genomics

The proposed ?I/UCRC for Computing and Genomics - An Essential Partnership for Biology Breakthroughs? proposed by the U. of Illinois at Urbana-Champaign, the U. of Chicago, and Mayo Clinic will enhance the research, education, and entrepreneurship while performing the important technology transfer by bringing together an interdisciplinary team of industry partners from computer systems, health care/pharmaceuticals, and life sciences working in collaboration with genomic experts to address the colossal big-data challenge. The application of genomics across the life sciences industry is currently challenged by an inadequate ability to generate, interpret, and apply genomic data quickly and accurately for a wide variety of applications. One challenge has been that of integrating thought and market leaders across what had historically been orthogonal industries: those involved with computer sciences, and those involved with biological sciences. With the advent of Next Generation Sequencing technology, those industries are now interdependent and have a critical need to synthesize and coordinate activities at the interface of computing and genomics. The participating sites propose to establish a collaborative environment that improves the applicability, timeliness, efficiency, and accuracy of the computational infrastructure to address the pressing genome-based challenges. The CompGen consortium?s vision is to engineer and optimize computing systems needed by industry for genome analysis.The CompGen Center will address the experimental process for genomic data. A variety of questions on health and social problems will be addressable, enabling much needed biological and healthcare breakthroughs. Outcomes will enrich research infrastructure, develop next generation of leaders in engineering and science, improve the quality of workforce, and involve international partners. Collaborations will produce artifacts such as new algorithms, optimizations, and statistical models, in turn driving the design of the computing enterprise. The goal is to generalize those artifacts to drive the design and evaluation of computational models and hardware/software co-designed architectures, tightly coupled with new memory and computing technologies for scalability and accuracy.

求婚的人？I/UCRC for Computing and Genomics - An Essential Partnership for Biology Breakfast？由美国提出。伊利诺伊州厄巴纳-香槟，美国。马约Clinic将加强研究，教育和创业精神，同时通过汇集来自计算机系统，医疗保健/制药和生命科学的跨学科行业合作伙伴团队，与基因组专家合作，共同应对巨大的大数据挑战，进行重要的技术转让。基因组学在整个生命科学行业的应用目前面临着为各种应用快速准确地生成、解释和应用基因组数据的能力不足的挑战。其中一个挑战是整合思想和市场领导者在历史上是正交的行业：那些涉及计算机科学，那些涉及生物科学。随着下一代测序技术的出现，这些行业现在相互依赖，迫切需要在计算和基因组学的界面上综合和协调活动。参与的研究中心建议建立一个协作环境，以提高计算基础设施的适用性、及时性、效率和准确性，以应对紧迫的基于基因组的挑战。CompGen财团？CompGen中心的愿景是设计和优化基因组分析行业所需的计算系统。CompGen中心将解决基因组数据的实验过程。关于健康和社会问题的各种问题将得到解决，使急需的生物和医疗保健突破成为可能。其成果将丰富研究基础设施，培养下一代工程和科学领导者，提高劳动力素质，并吸引国际合作伙伴。协作将产生新算法、优化和统计模型等工件，进而推动计算企业的设计。我们的目标是推广这些工件，以推动计算模型和硬件/软件协同设计架构的设计和评估，并与新的内存和计算技术紧密结合，以实现可扩展性和准确性。