MRI: Acquisition of a Computer Server for Research, Research Training and Education in the STEM Departments at Indiana University South Bend

MRI：购买一台计算机服务器，用于印第安纳大学南本德分校 STEM 系的研究、研究培训和教育

• 批准号: 1726218
• 负责人: Murlidharan Nair
• 金额: $ 4.7万
• 依托单位: Indiana University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-10-01 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1726218&HistoricalAwards=false
• 关键词: MRI; Acquisition; Computer; Server; Research

This project, acquiring a single dedicated server as a turnkey solution for enhancing access to data storage spaces, aims to promote student participation in research projects in Science, Technology, Engineering and Math (STEM) areas that use large data sets. The departments of biology, informatics, physics, and mathematics at IUSB will take advantage of the instrument in an institution where professors with substantial teaching loads serve mainly undergraduate students. Many of the research programs involve compute intensive tasks, for example, analysis of genomes and Hi-C Data. Hi-C, an extension of 3C (chromosome confirmation capture) is capable of identifying long range interactions in an unbiased, genome-wide fashion. Data mining, bioinformatics, and genomics courses already in place at the institution teach students from different disciplines the skills needed for analysis of big data, which in turn require the use of a server to carry on the compute intensive tasks. Hence, this server enhances the computational structure of the campus and enables research studies across multiple disciplines to gain a better understanding of decision making under complex situations.Broader Impacts:This acquisition provides a useful technology capability for research and education within the institution. The server will:- Be used to teach data intensive courses like data mining, genomics, and bioinformatics;- Significantly improve the opportunities for training students in handling big data; and- Enable research projects involving undergraduates to be presented in conferences and scientific meetings.The data intensive courses will be taken by undergraduates from biology, biochemistry, computer science, informatics, and graduate students from applied mathematics and computer science programs. The instrument will be shared rather than duplicated, encouraging field-crossing that might at least enable knowledge crossing or even open new research avenues.

该项目获得了一台专用服务器，作为增强数据存储空间访问的交钥匙解决方案，旨在促进学生参与使用大型数据集的科学，技术，工程和数学（STEM）领域的研究项目。生物学，信息学，物理学和数学在IUSB的部门将利用仪器在一个机构，教授与大量的教学负荷主要为本科生服务。许多研究项目涉及计算密集型任务，例如基因组和Hi-C数据分析。Hi-C是3C（染色体确认捕获）的延伸，能够以无偏倚的全基因组方式鉴定长程相互作用。 该机构已经开设的数据挖掘，生物信息学和基因组学课程教授来自不同学科的学生分析大数据所需的技能，这反过来又需要使用服务器来执行计算密集型任务。因此，这台服务器增强了校园的计算结构，并使跨学科的研究能够更好地了解复杂情况下的决策。更广泛的影响：此次收购为机构内的研究和教育提供了有用的技术能力。该服务器将：-用于教授数据挖掘、基因组学和生物信息学等数据密集型课程;-显著提高学生处理大数据的培训机会;以及-使涉及本科生的研究项目能够在会议和科学会议上提出。数据密集型课程将由生物学、生物化学、计算机科学、信息学的本科生以及应用数学和计算机科学专业的研究生学习。该工具将被共享而不是复制，鼓励跨领域，至少可以实现知识交叉，甚至开辟新的研究途径。