Assisting Bioinformatics Efforts at Minority Schools

描述（由申请人提供）：本提案旨在继续我们非常成功的项目，协助少数族裔机构建立多学科生物信息学培训项目。我们将在四部分的节目中做这个。首先是在匹兹堡超级计算中心（PSC）为教职员工提供为期两周的生物信息学暑期强化课程；它强调基于序列的生物信息学，但也包括蛋白质组学、基因组学和计算生物学的其他方面。其次，PSC的工作人员将前往选定的少数民族机构，介绍生物信息学的概述，举办研究研讨会，与感兴趣的教师讨论生物信息学的开放研究问题，并协助当地教师进行生物信息学课程的团队教学。第三是一个实习项目，来自少数民族院校的学生来PSC进行为期五周的深入研究。第四，我们正在扩大原有的项目，将课程开发工作纳入其中，以提供一套支持生物信息学工作的课程；这通常涉及来自生物科学、计算机科学和数学系的学生。虽然一般，课程主要是为了支持生物信息学证书课程。生物信息学有三个专业领域：生物学专业（如生物学、遗传学）、计算专业（如计算机科学、信息系统）和建模专业（如数学、工程）。我们设想每个专业领域将有两门课程：一门调查课程由其他专业领域的学生学习，两门深度课程由该专业的学生学习。我们希望学生从每个轨道进入将保留其背景，作为他们的主要专业领域和专业能力，但将发展一个强大的能力，在他们的专业领域（生物科学）应用生物信息学，或应用他们的专业领域开发解决方案的问题，在生物信息学（计算机和数学科学）。这些课程将被设计成模块课程中的模块课程，供少数群体服务机构进行调整，以满足特定机构的特殊情况、需要和愿望。

DESCRIPTION (provided by applicant): This proposal is to continue our highly successful program of assisting minority institutions in building multidisciplinary bioinformatics training programs. We will do this in a four part program. First is an intensive two-week long Summer Institute in bioinformatics at the Pittsburgh Supercomputing Center (PSC) for faculty and staff; which emphasizes sequence-based bioinformatics, but includes coverage of proteomics, genomics and other aspects of computational biology. Second, PSC staff will travel to the selected minority institutions to present overviews of bioinformatics, present research seminars, discuss open research problems in bioinformatics with interested faculty members, and assist local faculty in team-teaching a bioinformatics course. Third is an internship program with students from minority institutions coming to the PSC for five weeks of intensive research experience. Fourth, we are expanding our original program to include a curriculum development effort to provide a set of courses to support bioinformatics efforts; which would typically involve students from the biological sciences, computer science, and mathematics departments. Though general, the curriculum is primarily designed to support a certificate program in bioinformatics. There are three specialty areas in bioinformatics: biology-specialty (e.g., biology, genetics), computational-specialty (e.g., CS, IS), and modeling specialty (e.g., mathematics, engineering). We envision that there will be two courses per specialty area: one survey course that is taken by students in the other specialty areas, and the two in-depth courses that are taken by students in the specialty. We expect that students entering from each track will retain that background as their primary area of expertise and professional competence but will develop a strong ability to apply bioinformatics within their area of expertise (biological sciences) or to apply their area of expertise to developing solutions for problems in bioinformatics (computer and mathematical sciences). These will be designed as modular courses in a modular curriculum that can be adapted by minority serving institutions to meet the particular circumstances, needs and desires of the specific institution.