REU Site: Undergraduate Research in Computational Biology at Mississippi State University

这个REU网站奖给密西西比州立大学，在斯塔克维尔，MS，将支持10名学生在2017年至2019年的夏天10周的培训。学生将参与计算生物学的跨学科研究项目，与计算机科学与工程，生物科学和兽医学的教师导师密切合作。项目将在基因组分析，宏基因组学，科学可视化和生物信息学算法等领域提供。专业发展会议将进行培训学生在计算生物学的基础知识，并提供有关研究生院和其他干职业的信息。所有学生将接受道德和负责任的研究行为的培训。招聘将在密西西比和周边地区的机构进行，该项目将向全国学生开放。高素质的学生将由教师导师委员会主要根据他们的学术背景，技能和兴趣选择。预计共有30名学生，主要来自研究机会有限的学校，将在该方案中接受培训。重点将放在扩大参与，提供研究经验，学生从群体在科学和计算代表性不足。学生将学习如何进行研究，许多人将在科学会议上展示他们的工作成果。由生物基础设施部资助的所有REU研究中心项目使用的通用网络评估工具将用于确定培训项目的有效性。学生将在课程结束后进行跟踪，以确定他们的职业道路。学生将被要求通过NSF报告系统自动发送电子邮件。有关该计划的更多信息，请访问http：//www.cse.msstate.edu/casincompbio或联系PI（Andy Perkins博士，网址：perkins@cse.msstate.edu）。该补助金由生物科学局（BIO）生物基础设施司和计算机和信息科学与工程局（CISE）高级网络基础设施司提供支持。

This REU Site award to Mississippi State University, in Starkville, MS, will support the training of 10 students for 10 weeks during the summers of 2017- 2019. Students will be involved in interdisciplinary research projects in computational biology, working closely with their faculty mentors from Computer Science and Engineering, Biological Sciences and Veterinary Medicine. Projects will be available in the areas of genome analysis, metagenomics, scientific visualization, and bioinformatics algorithms, among others. Professional development sessions will be conducted to train students in the basics of computational biology and to provide information on graduate school and other STEM careers. All students will receive training in ethics and the responsible conduct of research. Recruitment will take place at institutions in Mississippi and the surrounding region, and the program will be open to students nationwide. Highly qualified students will be selected by a committee of faculty mentors based primarily upon their academic background, skills, and interests. It is anticipated that a total of 30 students, primarily from schools with limited research opportunities, will be trained in the program. An emphasis will be placed upon broadening participation by providing research experiences to students from groups underrepresented in science and computing. Students will learn how research is conducted, and many will present the results of their work at scientific conferences. A common web-based assessment tool, used by all REU Site programs funded by the Division of Biological Infrastructure, will be used to determine the effectiveness of the training program. Students will be tracked after the program in order to determine their 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 http://www.cse.msstate.edu/~compbio, or by contacting the PI (Dr. Andy Perkins at perkins@cse.msstate.edu). This grant is supported by the Division of Biological Infrastructure in the Directorate for Biosciences (BIO) and the Division of Advanced Cyberinfrastructure in the Directorate for Computer and Information Science and Engineering (CISE).