REU Site: Next-Generation Bioinformatics for Genomics-enabled Research in the Life Sciences

REU 授予南卡罗来纳州查尔斯顿市查尔斯顿学院的这一场地奖励将支持 2015 年至 2017 年夏季对 10 名学生进行为期 10 周的项目培训。 REU 项目向所有美国公民、国民或永久居民的本科生开放。接受该计划培训的学生将获得实验室研究技能，培养他们的批判性思维和解决问题的能力，了解科学的过程，并能够向同行和公众传达他们的研究成果。学生将有机会在全国会议上展示他们的成果。 REU 项目为学生提供了在其所在院校通常无法获得的体验。我们鼓励来自研究机会有限的学校和代表性不足群体的学生申请。该 REU 站点计划将重点关注跨越基因组学、生物信息学、数据挖掘、数据科学、分子生物学和进化领域的综合研究。 示例跨学科项目包括应用下一代 DNA 测序数据，通过开发和应用数据挖掘、机器学习和数据科学等领域的计算工具和算法来理解和研究基因组。由生物学家和计算机科学家组成的团队将采用新颖的和现有的算法将分子和有机生物学与生态学、行为和进化研究相结合。由生物基础设施司（生物科学局）资助的所有 REU 项目均使用基于网络的通用评估工具，用于确定培训项目的有效性。学生需要在课程结束后进行跟踪，并且必须回复通过 NSF 报告系统发送的自动电子邮件。如需了解更多信息，请联系 PI（Paul Anderson 博士，andersonpe2@cofc.edu）或联合 PI（Andrew M. Shedlock 博士，shedlockam@cofc.edu）。

This REU Site award to the College of Charleston, Charleston, SC, will support the training of 10 students in a 10-week program during the summers of 2015-2017. The REU program is open to all undergraduate students who are citizens, nationals or permanent residents of the United States. Students trained in the program will gain skills in lab research, develop their critical thinking and problem-solving skills, understand the process of science, and be able to communicate their research results to their peers and the general public. Students will have an opportunity to present their results at a national conference. The REU program provides an experience to students that is typically not available to them at their home institutions. Students from schools with limited opportunities for research and from underrepresented groups are encouraged to apply.This REU Site program will focus on integrative research that spans the areas of genomics, bioinformatics, data mining, data science, molecular biology and evolution. Example interdisciplinary projects include the application of next-generation DNA sequencing data to understand and investigate genomes through the development and application of computational tools and algorithms from fields such as data mining, machine learning, and data science. Teams of both biologists and computer scientists will employ novel and existing algorithms for integrating molecular and organismal biology with studies of ecology, behavior, and evolution. 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. Students are required to be tracked after the program and must respond to an automatic email sent via the NSF reporting system. More information is available by contacting the PI (Dr. Paul Anderson at andersonpe2@cofc.edu) or co-PI (Dr. Andrew M. Shedlock at shedlockam@cofc.edu).