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

REU 网站：密西西比州立大学计算生物学本科生研究

• 批准号: 1659630
• 负责人: Andy Perkins
• 金额: $ 32.75万
• 依托单位: Mississippi State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-15 至 2022-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1659630&HistoricalAwards=false
• 关键词: REU; Site; Undergraduate; Research; Computational

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 [e-mail]). 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).

REU Site奖授予密西西比州立大学，位于密西西比州斯塔克维尔，将在2017-2019年夏季支持10名学生进行为期10周的培训。学生将参与计算生物学的跨学科研究项目，与来自计算机科学与工程、生物科学和兽医的教师导师密切合作。将在基因组分析、元基因组学、科学可视化和生物信息学算法等领域开展项目。将举办专业发展课程，培训学生学习计算生物学的基础知识，并提供有关研究生院和其他STEM职业的信息。所有学生都将接受道德和负责任的研究行为方面的培训。招生将在密西西比州和周边地区的机构进行，该项目将向全国学生开放。高素质的学生将由一个教师导师委员会主要根据他们的学术背景、技能和兴趣来挑选。预计共有30名学生将在该计划中接受培训，这些学生主要来自研究机会有限的学校。重点将放在通过向科学和计算机领域代表性不足的群体的学生提供研究经验来扩大参与。学生将学习研究是如何进行的，许多人将在科学会议上展示他们的工作成果。将使用生物基础设施司资助的所有REU站点方案使用的通用网络评估工具来确定培训方案的有效性。项目结束后，将对学生进行跟踪，以确定他们的职业道路。学生将被要求回复通过NSF报告系统发送的自动电子邮件。有关该计划的更多信息，请访问http://www.cse.msstate.edu/~compbio，或联系PI(安迪·珀金斯博士，电子邮件：[e-mail])。这笔赠款由生物科学局(BIO)的生物基础设施司和计算机和信息科学与工程局(CEISE)的高级数字基础设施司提供支助。

项目成果

PAST: The Pathway Association Studies Tool to Infer Biological Meaning from GWAS Datasets

• DOI: 10.3390/plants9010058
• 发表时间: 2020-01
• 期刊: Plants
• 作者: Adam Thrash;Juliet D. Tang;Mason DeOrnellis;D. Peterson;M. Warburton