REU Site: Educating for the grand challenges at the intersection of biocomplexity and high-performance computing

REU 网站：针对生物复杂性和高性能计算交叉领域的重大挑战进行教育

• 批准号: 1358997
• 负责人: Gavin Conant
• 金额: $ 31.64万
• 依托单位: University of Missouri-Columbia
• 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: 2014-04-01 至 2017-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1358997&HistoricalAwards=false
• 关键词: REU; Site; Educating; grand; challenges

This REU Site award to the University of Missouri (MU), located in Columbia, MO, will support the training of 12 students for 9 weeks during the summers of 2014-2016. This award is supported by both the Directorates for Biological Sciences (Division of Biological Infrastructure) and Mathematical and Physical Sciences (Division of Mathematical Sciences). Pairs of student researchers, one from the computational sciences and the other from the life sciences, will work collaboratively at the interface of high performance computing and big data biology. Students will select from a diverse group of research projects, with a choice of mentors from five departments in the computational and life sciences. Example projects include developing parallel computing approaches to allow the identification of gene duplications that occurred with important evolutionary transitions such as the origins of mammalian placentation and using parallel computers and GPUs to infer the plant tree of life with data from high-throughput sequencing. In addition, participants will join other campus summer research programs -- attending professional development sessions, training in the responsible conduct of research, and participating in weekly sessions on parallel computing and biology. Participants will be recruited from a variety of institutions, with preference given to students from minority-serving institutions and undergraduate-only colleges. The PIs and research mentors will select the participants (half from the computational and half from the life sciences) and help them choose a computational or biological partner. Participants' progress will be assessed with pre- and post-tests covering the program's technical material. The program will be evaluated using NSF's common assessment tool.Computation, and especially parallel computation, will be vital to science and engineering in the future, as increasing data volumes from instruments such as next-generation DNA sequencers generate enormous amount of data. The training and research experience offered at this REU site will give the participants unique opportunities to be trained in this important area.Students are required to be tracked after the program and must respond to an automatic email sent via the NSF reporting system. More information is available by visiting http://muii.missouri.edu/reu_bigdata, or by contacting the PI (Dr. Gavin Conant; [e-mail]) or the co-PI (Dr. Chi-Ren Shyu; [e-mail]).

REU 授予位于密苏里州哥伦比亚市的密苏里大学 (MU) 的场地奖励将支持 12 名学生在 2014 年至 2016 年夏季进行为期 9 周的培训。该奖项得到生物科学理事会（生物基础设施司）和数学和物理科学理事会（数学科学司）的支持。一对学生研究人员，一个来自计算科学，另一个来自生命科学，将在高性能计算和大数据生物学的接口上进行协作。学生将从不同的研究项目中进行选择，并从计算和生命科学的五个系中选择导师。示例项目包括开发并行计算方法，以识别重要进化转变（例如哺乳动物胎盘起源）中发生的基因重复，以及使用并行计算机和 GPU 通过高通量测序数据推断植物生命树。此外，参与者还将参加其他校园夏季研究项目——参加专业发展课程、负责任的研究行为培训，以及参加关于并行计算和生物学的每周课程。参与者将从各种机构招募，优先考虑来自少数族裔服务机构和本科院校的学生。 PI 和研究导师将选择参与者（一半来自计算领域，一半来自生命科学领域），并帮助他们选择计算或生物合作伙伴。参与者的进展将通过涵盖该计划技术材料的预测试和后测试来评估。该计划将使用 NSF 的通用评估工具进行评估。计算，尤其是并行计算，对于未来的科学和工程至关重要，因为下一代 DNA 测序仪等仪器的数据量不断增加，会产生大量数据。 REU 站点提供的培训和研究经验将为参与者提供在这一重要领域接受培训的独特机会。学生需要在项目结束后进行跟踪，并且必须回复通过 NSF 报告系统发送的自动电子邮件。如需了解更多信息，请访问 http://muii.missouri.edu/reu_bigdata，或联系 PI（Gavin Conant 博士；[e-mail]）或联合 PI（Chi-Ren Shyu 博士；shyuc@密苏里大学）。