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

该REU Site奖授予位于马萨诸塞州波士顿的波士顿大学(BU)，将在2017-2019年夏季为8名学生提供为期10周的培训。该计划将专注于生物信息学数据的计算和数学分析。研究项目将包括研究基因调控网络、微生物组以及遗传变异和表型之间的联系。学生将学习分析高通量测序数据，获得统计和机器学习方法的经验，并学习动态系统建模。与生物信息学教师导师一起进行的全职研究将通过研讨会补充，内容包括1)生物信息学编程，2)并行和云计算，3)创建科学海报，4)申请研究生院，以及5)科学伦理和负责任的研究行为。其他活动将包括参观当地的科学设施，并参加波士顿大学生物信息学研讨会。将提供津贴、住房、餐饮和旅行津贴。学生将根据生物、数学和计算方面的相关课程成绩、良好的学业成绩、对生物信息学研究的热情以及参与社区活动和社区服务的证据来选择。预计共有24名学生将接受该计划的培训，重点是招收女性、科学界代表性不足的群体成员以及研究机会有限的学校的学生。学生将学习研究是如何进行的，许多人将在国家、地区或北卡罗来纳大学主办的本科生研究会议上张贴海报。将使用生物基础设施司(生物科学局)资助的所有REU项目使用的通用网络评估工具来确定培训方案的有效性。A Research Experience Wiki将用于每周记录所学技能。项目结束后，学生将被跟踪，以确定使用BU BioInformation、LinkedIn和Facebook页面的职业道路。学生将被要求回复通过NSF报告系统发送的自动电子邮件。欲了解更多信息，请访问http://www.bu.edu/bioinformatics/research/undergraduate-research，，或联系国际组织(gbenson@bu.edu加里·本森博士)或项目协调员(Caroline Lyman女士，电子邮件：clyman@bu.edu)。

This REU Site award to Boston University (BU), located in Boston, MA, will support the training of 8 students for 10 weeks during the summers of 2017-2019. The program will focus on computational and mathematical analysis of bioinformatics data. Research projects will include studying gene regulatory networks, the microbiome, and the linkage between genetic variation and phenotypes. Students will learn to analyze high-throughput sequencing data, gain experience in statistical and machine learning methods, and learn dynamic systems modeling. Full-time research with a Bioinformatics faculty mentor will be supplemented by workshops covering 1) bioinformatics programming, 2) parallel and cloud computing, 3) creating a scientific poster, 4) applying to graduate school, and 5) scientific ethics and responsible conduct of research. Additional activities will include tours of local science facilities, and participation in BU Bioinformatics symposia. A stipend, housing, meal, and travel allowances will be provided. Students will be selected based on relevant coursework in biology, mathematics, and computing, a good academic record, enthusiasm for bioinformatics research, and evidence of involvement in community activities and community service. It is anticipated that a total of 24 students will be trained in the program with an emphasis on recruiting women, members of groups underrepresented in the sciences, and students from schools with limited research opportunities. Students will learn how research is conducted and many will present posters at national, regional, or BU sponsored undergraduate research conferences. A common web-based assessment tool used by all REU programs funded by the Division of Biological Infrastructure (Directorate for Biological Sciences) will be used to determine the effectiveness of the training program. A Research Experience Wiki will be used for weekly recording of skills learned. Students will be tracked after the program to determine career paths using BU Bioinformatics LinkedIn and Facebook pages. Students will be asked to respond to an automatic email sent via the NSF reporting system. More information is available at http://www.bu.edu/bioinformatics/research/undergraduate-research, or by contacting the PI (Dr. Gary Benson at gbenson@bu.edu) or the program coordinator (Ms. Caroline Lyman at clyman@bu.edu).