REU Site: Interdisciplinary Computational Biology (iCompBio)

REU 网站：跨学科计算生物学 (iCompBio)

• 批准号: 2149956
• 负责人: Hong Qin
• 金额: $ 40.2万
• 依托单位: University of Tennessee Chattanooga
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-03-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2149956&HistoricalAwards=false
• 关键词: REU; Site; Interdisciplinary; Computational; Biology

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).This REU Site award to the University of Tennessee at Chattanooga (UTC), located in Chattanooga, TN, will support the training of 10 students for 10 weeks during the summers of 2022- 2024. It is anticipated that a total of 30 students, primarily from schools with limited research opportunities or from a group under-represented in science, will be trained in the program. Students will learn to conduct multi-disciplinary computational research in the fields of cell biology, epidemiology, biodiversity, protein structure, biomechanics, ecology, bacterial membranes, climate, environmental sustainability, or others. Assessment of the program will be done through the online SALG URSSA tool. Students will be tracked after the program to determine their career paths. Students participating in iCompBio will receive training in multidisciplinary research. Students will engage in mentored research experiences in computational biology across multiple research fields. In addition to short bootcamps and workshops on classical computational training such as bioinformatics, high-performance computing, mathematical modeling, and statistical analysis, iCompBio will provide research training in the application of machine-learning/deep learning, and quantum computing in computational biology, as well as research ethics and the responsible conduct of research. Research projects will take place in host labs under the guidance of research mentors. Students will meet weekly for joint computing workshops, research project troubleshooting, and to share their experiences and lessons learned. Informal lunch meetings will be held to discuss topics such as career choices, equity in research, and work-life balance with mentors, graduate students, or guests. Multiple group outings to local and regional attractions will be taken. Two research seminars will be held with other UTC-based summer research programs. Students interested in the program should complete an online application form, and submit unofficial transcripts, personal statement, resume/CV, and two letters of recommendation. Applications will be reviewed by a team of faculty. More information about the program is available by visiting http://utc.edu/icompbio or by contacting the PI (Dr. Hong Qin at [e-mail] ) or the co-PI (Dr. Yingfeng Wang at [e-mail]).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该奖项全部或部分由《2021年美国救援计划法案》（公法117-2）资助。该REU网站奖授予田纳西州查塔努加大学（UTC），位于田纳西州查塔努加，将在2022年至2024年的夏季支持10名学生的10周培训。预计总共有30名学生将在该项目中接受培训，这些学生主要来自研究机会有限的学校或在科学领域代表性不足的群体。学生将学习在细胞生物学、流行病学、生物多样性、蛋白质结构、生物力学、生态学、细菌膜、气候、环境可持续性等领域进行多学科计算研究。该计划的评估将通过在线SALG URSSA工具进行。课程结束后，将对学生进行跟踪，以确定他们的职业道路。参加iCompBio的学生将接受多学科研究方面的培训。学生将在多个研究领域参与计算生物学的指导研究经验。除了生物信息学、高性能计算、数学建模和统计分析等经典计算培训的短期训练营和讲习班外，iCompBio还将提供机器学习/深度学习应用、计算生物学中的量子计算以及研究伦理和负责任的研究行为方面的研究培训。研究项目将在研究导师的指导下在主办实验室进行。学生们将每周举行一次联合计算机研讨会，研究项目故障排除，并分享他们的经验和教训。非正式的午餐会议将举行，讨论主题，如职业选择，公平的研究，工作与生活的平衡与导师，研究生，或客人。多个团体将前往当地和地区景点。两个研究研讨会将与其他基于utc的暑期研究项目一起举行。对该计划感兴趣的学生应填写在线申请表，并提交非官方成绩单，个人陈述，简历/简历和两封推荐信。申请将由一组教师进行审查。有关该计划的更多信息，请访问http://utc.edu/icompbio或联系PI（秦宏博士[e-mail]）或联合PI（王英峰博士[e-mail]）。该奖项反映了美国国家科学基金会的法定使命，并通过基金会的智力价值和更广泛的影响审查标准进行了评估，认为值得支持。

项目成果

Integrating Quantum Computing into De Novo Metabolite Identification

将量子计算集成到从头代谢物识别中

• DOI: 10.54808/jsci.21.02.83
• 发表时间: 2023
• 期刊: Cybernetics and Informatics
• 作者: Tsai, Li-An;Nuckels, Estelle;Wang, Yingfeng
• 通讯作者: Wang, Yingfeng