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

提议的？I/UCRC计算与基因组学-生物学突破的重要伙伴关系？该项目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，将加强研究、教育和创业精神，同时通过将来自计算机系统、医疗保健/制药和生命科学的跨学科行业合作伙伴与基因组专家合作，共同应对巨大的大数据挑战，实现重要的技术转让。基因组学在生命科学行业的应用目前面临着快速、准确地生成、解释和应用基因组数据的能力不足的挑战。其中一个挑战是如何将思想和市场领导者整合到历史上相互正交的行业中：那些涉及计算机科学的行业和那些涉及生物科学的行业。随着下一代测序技术的出现，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综合和协调活动。参与站点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，以应对紧迫的基因组挑战。CompGen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。CompGen中心将处理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，从而实现急需的生物和医疗保健突破。成果将丰富研究基础设施，培养下一代工程和科学领域的领导者，提高劳动力质量，并吸引国际合作伙伴。协作将产生诸如新算法、优化和统计模型之类的工件，进而推动计算企业的设计。目标是将这些工件一般化，以驱动计算模型和硬件/软件协同设计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.