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

拟议的计算和基因组学I/UCRC-生物学突破的基本伙伴关系？由伊利诺伊大学厄巴纳-香槟分校、芝加哥大学和梅奥诊所提出的这一计划将加强研究、教育和创业，同时通过将来自计算机系统、医疗保健/制药和生命科学的行业合作伙伴组成的跨学科团队聚集在一起，与基因组专家合作应对巨大的大数据挑战，从而执行重要的技术转让。基因组学在整个生命科学行业的应用目前面临着能力不足的挑战，无法快速准确地为各种应用生成、解释和应用基因组数据。其中一个挑战是，如何将思想和市场领先者整合到各个历史上相互垂直的行业：计算机科学领域和生物科学领域。随着下一代测序技术的到来，这些行业现在相互依存，迫切需要在计算和基因组学的界面上合成和协调活动。参与的网站建议建立一个协作环境，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。康博基因联盟？S的愿景是设计和优化工业所需的基因组分析计算系统。康博基因中心将致力于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，使亟需的生物和医疗保健突破成为可能。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，并让国际合作伙伴参与进来。协作将产生新算法、优化和统计模型等构件，进而推动计算企业的设计。我们的目标是推广这些构件，以推动计算模型和硬件/软件共同设计的体系结构的设计和评估，并与新的内存和计算技术紧密结合，以实现可伸缩性和准确性。

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.