REU Site: Bioinformatics Research and Interdisciplinary Training Experience in Analysis and Interpretation of Information-Rich Biological Data Sets (REU-BRITE)

REU网站：信息丰富的生物数据集分析和解释的生物信息学研究和跨学科培训经验（REU-BRITE）

• 批准号: 1949968
• 负责人: Gary Benson
• 金额: $ 40.27万
• 依托单位: Trustees of Boston University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-02-01 至 2024-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1949968&HistoricalAwards=false
• 关键词: REU; Site; Bioinformatics; Research; Interdisciplinary

This REU Site award to Boston University, located in Boston, MA, will support the training of 10 students for 10 weeks during the summers of 2020- 2022. It is anticipated that a total of 30 students, primarily from schools with limited research opportunities or from an under-represented group, will be trained in the program. Students will learn how research is conducted, and many will present the results of their work at scientific conferences. The program will help train a diverse group of future bioinformatics scientists, who understand and can easily manipulate a wide range of computational, mathematical, and statistical techniques to analyze and model the very large data sets produced by contemporary biological experiments. Research outcomes from the program are expected to create new knowledge-based resources for biological research. Assessment of the program will be done through the online SALG URSSA tool. Students will be tracked after the program in order to determine their career paths.The program will focus on computational and mathematical analyses of biological data. Students will conduct full-time research with a Boston University Bioinformatics faculty mentor in one of a broad range of biological research fields, including the microbiome in humans and the environment, the linkage between genetic variation and phenotype, gene regulatory networks, biomolecular interactions, and ecological forecasting. Students will learn how to analyze high-throughput data, gain experience in statistical and machine learning methods, and assist with the development of computational tools and methodologies. Components will include: 1) workshops on bioinformatics computing, 2) workshops on creating a scientific abstract and poster, 3) poster presentation at an undergraduate research conference, 4) educational outreach to community elementary and middle school students, 5) scientific enrichment and career networking at Boston University Bioinformatics sponsored symposia, 6) training in preparing a competitive graduate school application, 7) training in scientific ethics, and 8) cultural and social enrichment in the Boston area. Participants will be selected by the Principal Investigator and potential faculty mentors after completion of an online application. More information about the program is available by visiting http://sites.bu.edu/britereu/, or by contacting the PI (Dr. Gary Benson 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REU网站奖授予位于马萨诸塞州波士顿的波士顿大学，将在2020年至2022年的夏季为10名学生提供为期10周的培训。预计总共有30名学生将接受该项目的培训，这些学生主要来自研究机会有限的学校或代表性不足的群体。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。该计划将帮助培养多样化的未来生物信息学科学家，他们理解并能够轻松地操作广泛的计算，数学和统计技术，以分析和模拟当代生物实验产生的非常大的数据集。该计划的研究成果有望为生物学研究创造新的知识资源。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。该计划将侧重于生物数据的计算和数学分析。学生将与波士顿大学生物信息学教师导师在广泛的生物研究领域之一进行全职研究，包括人类和环境中的微生物组，遗传变异和表型之间的联系，基因调控网络，生物分子相互作用和生态预测。学生将学习如何分析高通量数据，获得统计和机器学习方法的经验，并协助开发计算工具和方法。组成部分包括：1)生物信息学计算研讨会，2)制作科学摘要和海报研讨会，3)在本科生研究会议上展示海报，4)向社区中小学生提供教育推广，5)在波士顿大学生物信息学赞助的专题讨论会上进行科学充实和职业网络，6)准备竞争性研究生院申请的培训，7)科学伦理培训，8)波士顿地区文化和社会的丰富。参与者将在完成在线申请后由首席研究员和潜在的教师导师选出。有关该计划的更多信息，请访问http://sites.bu.edu/britereu/，或联系PI （Dr. Gary Benson在[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评估，认为值得支持。