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.

这项授予位于马萨诸塞州波士顿的波士顿大学的REU网站奖将在2020年至2022年的夏季为10周的10周培训。预计总共有30名学生，主要来自研究机会有限或来自代表性不足的小组的学校，将接受该计划的培训。学生将学习如何进行研究，许多人会在科学会议上介绍他们的工作结果。该计划将有助于培训一组未来的生物信息学科学家，他们理解并可以轻松地操纵广泛的计算，数学和统计技术，以分析和模拟当代生物学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基于知识的资源。该程序的评估将通过在线Salg Urssa工具进行。该计划将在计划之后进行跟踪，以确定自己的职业道路。该计划将重点介绍对生物数据的计算和数学分析。学生将在波士顿大学的生物信息学教师的一系列生物学研究领域中进行全日制研究，包​​括人类和环境的微生物组，遗传变异与表型之间的联系，基因调节网络，生物分子相互作用以及生态预测。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。组件将包括：1）关于生物信息学计算的研讨会，2）关于创建科学摘要和海报的研讨会，3）海报演讲，在本科研究会议上，4）对社区基础和中学生的教育宣传，5）在波士顿大学的培训中，在培训培训方面的科学培训和培训培训，以培训培训。道德和8）波士顿地区的文化和社会丰富。在线申请完成后，将由主要研究员和潜在教师导师选择参与者。可以通过访问http://sites.bu.edu/britereu/或与PI联系（通过[e-mail]）与PI联系，可以通过访问http://sites.bu.edu/britereu/获得有关该计划的更多信息。这一奖项反映了NSF的法定任务，并认为通过基金会的知识优点和广泛的crietia cripitia criperia criperia criperia criperia criperia criperia criperia cripitia criperia cribitia cripitia criperia criperia均值得通过评估。