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]).

密苏里大学（MU）的REU网站奖，位于密苏里州哥伦比亚市，将在2014 - 2016年夏季支持12名学生的培训9周。该奖项均得到生物科学局（生物基础设施部）和数学和物理科学（数学科学部）的支持。一对学生研究人员，一个来自计算科学的研究人员，另一对来自生命科学的研究人员将在高性能计算和大数据生物学的界面上合作。学生将从各种各样的研究项目中进行选择，并从计算和生命科学的五个部门中选择多种导师。示例项目包括开发平行计算方法，以识别具有重要进化过渡的基因重复，例如哺乳动物胎盘的起源，并使用平行计算机和GPU来推断生命的植物树，并通过高通量测序的数据进行数据。此外，参与者将加入其他校园夏季研究计划 - 参加专业发展课程，负责任的研究培训以及参加平行计算和生物学的每周课程。参与者将从各种机构中招募，并偏爱来自少数派服务机构和仅本科大学的学生。 PIS和研究导师将选择参与者（从计算机科学中的一半，一半是从生命科学中），并帮助他们选择计算或生物学伙伴。参与者的进度将通过涵盖该计划的技术材料的预测试进行评估。该程序将使用NSF的通用评估工具进行评估。computation，尤其是并行计算，将来对科学和工程至关重要，因为从下一代DNA序列中增加了数据量，例如下一代DNA测序仪会产生大量数据。在此REU站点提供的培训和研究经验将为参与者提供独特的机会，可以在此重要领域进行培训。在计划后必须跟踪学生，并且必须响应通过NSF报告系统发送的自动电子邮件。可以通过访问http://muii.missouri.edu/reu_bigdata或与PI（Gavin Conant博士； [e-mail]）或Co-pi（Chi-renu; chi-renu; [e-mail]）联系。