REU Site: Diversifying Undergraduate Participation in Computational Biology

该REU网站奖授予位于奥本的奥本大学，将在2017-2019年夏季为10名学生提供为期10周的培训。本科生将参与计算生物学/生物信息学的研究项目。学生将与教师导师一起研究涉及功能、进化、环境和物种形成基因组学的项目，以及使用大规模计算分析的其他主题。若干专业发展活动与培训方案有关，如夏季写作讲习班、计算技能培训、研究生院的准备和规划以及负责任的研究行为方面的培训和指导。预计总共将有30名学生，主要来自研究机会有限的学校，将在该项目中接受培训。有一个特别的重点是增加服务不足的群体在计算生物学研究中的参与。学生将学习如何进行研究，并将在科学会议上展示他们的工作成果，包括与奥本大学其他暑期本科生研究项目参与者的顶点研究研讨会。由生物基础设施司（生物科学理事会）资助的所有REU项目使用的通用网络评估工具将用于确定培训计划的有效性。课程结束后，将对学生进行跟踪，以确定学生的职业道路。学生将被要求回复通过NSF报告系统自动发送的电子邮件。有关该计划的更多信息，请访问www.auburn.edu/bioinformatics/nsf_reu.htm或通过bioinformatics@auburn.edu与PI博士Leslie Goertzen联系。

This REU Site award to Auburn University, located in Auburn, AL, will support the training of 10 students for 10 weeks during the summers of 2017-2019. Undergraduate students will participate in research projects in computational biology/bioinformatics. Students will work with faculty mentors on projects involving functional, evolutionary, environmental, and speciation genomics, among other topics using large-scale computational analyses. Several professional development activities are associated with the training program such as a summer-long writing workshop, computational skills training, graduate school preparation and planning as well as training and mentoring in the responsible conduct of research. It is anticipated that a total of 30 students, primarily from schools with limited research opportunities, will be trained in the program. There is a particular focus on increasing the participation of underserved groups in computational biology research. Students will learn how research is conducted, and will present the results of their work at scientific conferences including a capstone research symposium with other summer undergraduate research program participants at Auburn. A common web-based assessment tool used by all REU programs funded by the Division of Biological Infrastructure (Directorate for Biological Sciences) will be used to determine the effectiveness of the training program. Students will be tracked after the program in order to determine student career paths. Students will be asked to respond to an automatic email sent via the NSF reporting system. More information about the program is available by visiting www.auburn.edu/bioinformatics/nsf_reu.htm or by contacting the PI Dr. Leslie Goertzen at bioinformatics@auburn.edu.