REU Site: CSHL NSF-REU Bioinformatics and Computational Neuroscience Summer Undergraduate Program

REU 网站：CSHL NSF-REU 生物信息学和计算神经科学暑期本科项目

• 批准号: 1559816
• 负责人: Jesse Gillis
• 金额: $ 45.83万
• 依托单位: Cold Spring Harbor Laboratory
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-05-01 至 2019-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1559816&HistoricalAwards=false
• 关键词: REU; Site; CSHL; NSF; Bioinformatics

This REU Site award to Cold Spring Harbor Laboratory (CSHL), located in Cold Spring Harbor, NY, will support the training of ten students for ten weeks during the summers of 2016-2018. This award is supported by the Division of Biological Infrastructure in the Directorate for Biological Sciences (BIO) and the Division for Mathematical Sciences in the Directorate for Mathematics and Physical Sciences (MPS).CSHL's REU in Bioinformatics and Computational Neuroscience (BCN) provides participants with an exceptional research experience, integrating genomics and neuroscience through shared analysis tools. Spanning genomes, cells, organisms and the brain, the program trains students to approach complex biological systems quantitatively. Students conduct full-time, independent research under the mentorship of one of CSHL's approximately 50 faculty members working in genomics, quantitative biology, and neuroscience. Participants have access to state-of-the-art technologies, such as high-throughput sequencing and two-photon imaging, and attend lab meetings and research seminars. The REU curriculum includes workshops on quantitative techniques, responsible conduct of research, scientific communication, and scientific careers. The REU culminates with a symposium in which participants present their work to CSHL's scientific community. Students are housed on CSHL's 110-acre campus, within walking distance of laboratories and dining halls. Participants receive room and board and a summer stipend and have access to campus amenities. Students apply online, supplying a personal statement, two letters of recommendation, and academic records. REU participants are selected based on academics, motivation, and demonstrated potential.It is anticipated that 30 students, primarily from schools with limited research opportunities or those from underrepresented groups, will be trained in CSHL's REU in BCN. Participants will learn to interrogate biological questions with computational tools and techniques. Through the 10-week REU experience, participants will learn how research is conducted. Many will present the results of their work at national scientific conferences, furthering their identity as independent scientists. A common web-based assessment tool used by all REU programs funded by the Division of Biological Infrastructure (Directorate for Biological Sciences) is used to determine the effectiveness of the training program. Students are tracked after the program to determine 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.cshl.edu/Education/NSF-REU-in-Bioinformatics-and-Computational-Neuroscience.html, or by contacting the PI (Dr. Anne Churchland, [e-mail]), the co-PI (Dr. Michael Schatz, [e-mail]).

该REU站点奖授予位于纽约州冷泉港的冷泉港实验室（CSHL），该实验室将在2016-2018年夏季为10名学生提供为期10周的培训。该奖项由生物科学理事会（BIO）的生物基础设施司和数学与物理科学理事会（MPS）的数学科学司提供支持。CSHL的生物信息学和计算神经科学REU （BCN）为参与者提供了一个特殊的研究经验，通过共享的分析工具整合基因组学和神经科学。跨越基因组、细胞、生物体和大脑，该项目训练学生定量地接近复杂的生物系统。学生在CSHL大约50名从事基因组学、定量生物学和神经科学工作的教师之一的指导下进行全职独立研究。参与者可以使用最先进的技术，如高通量测序和双光子成像，并参加实验室会议和研究研讨会。REU的课程包括定量技术、负责任的研究行为、科学交流和科学职业等方面的讲习班。REU的高潮是一个研讨会，与会者向CSHL的科学界介绍他们的工作。学生们被安置在CSHL 110英亩的校园里，步行即可到达实验室和食堂。参与者获得食宿和夏季津贴，并可以使用校园设施。学生在网上申请，提供个人陈述，两封推荐信和学术记录。REU参与者是根据学术、动机和展示的潜力来选择的。预计将有30名学生，主要来自研究机会有限的学校或来自代表性不足的群体，在CSHL在BCN的REU中接受培训。参与者将学习用计算工具和技术来询问生物学问题。通过为期10周的REU体验，参与者将学习如何进行研究。许多人将在国家科学会议上展示他们的工作成果，进一步提升他们作为独立科学家的身份。由生物基础设施司（生物科学理事会）资助的所有REU项目都使用一种通用的基于网络的评估工具来确定培训计划的有效性。课程结束后，学生们会被跟踪，以确定职业道路。学生将被要求回复通过NSF报告系统自动发送的电子邮件。有关该计划的更多信息，请访问http://www.cshl.edu/Education/NSF-REU-in-Bioinformatics-and-Computational-Neuroscience.html，或联系PI（安妮·丘奇兰博士，[e-mail]），联合PI（迈克尔·沙茨博士，[e-mail]）。