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

该REU网站奖授予南卡罗来纳州查尔斯顿的查尔斯顿学院，将在2015-2017年夏季为期10周的项目中支持10名学生的培训。REU计划向所有美国公民、国民或永久居民的本科生开放。在该项目中训练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，理解科学的过程，并能够将他们的研究成果传达给同龄人和公众。学生们将有机会在全国会议上展示他们的成果。REU项目为学生提供了一种体验，这是他们在自己的学校通常无法获得的。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站点计划将侧重于跨越基因组学、生物信息学、数据挖掘、数据科学、分子生物学和进化等领域的综合研究。跨学科项目的例子包括下一代DNA测序数据的应用，通过开发和应用来自数据挖掘、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。生物学家和计算机科学家的团队将采用新的和现有的算法，将分子和有机体生物学与生态学、行为和进化研究结合起来。由生物基础设施司（生物科学理事会）资助的所有REU项目使用的通用网络评估工具将用于确定培训计划的有效性。学生在项目结束后需要被跟踪，并且必须回复通过NSF报告系统发送的自动电子邮件。更多信息请联系PI （Paul Anderson博士：andersonpe2@cofc.edu）或co-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).