Assisting Bioinformatics Efforts at Minority Schools

描述（由申请人提供）：该提案是为了继续我们非常成功的帮助少数民族机构建立多学科生物信息学培训计划的计划。我们将在一个四部分的节目中做到这一点。首先是匹兹堡超级计算中心（PSC）为教职员工举办的为期两周的生物信息学暑期研究所;该研究所强调基于序列的生物信息学，但包括蛋白质组学，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，目前的研究研讨会，讨论生物信息学与感兴趣的教师开放的研究问题，并协助当地教师在团队教学生物信息学课程。第三个是实习计划，来自少数民族机构的学生来到PSC进行为期五周的密集研究经验。第四，我们正在扩大我们原来的计划，包括课程开发工作，提供一套课程，以支持生物信息学的努力;这将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（例如，生物学、遗传学），计算专业（例如，CS，IS）和建模专业（例如，数学、工程学）。我们设想每个专业领域将有两门课程：一门是由其他专业领域的学生参加的调查课程，另一门是由该专业的学生参加的两门深入课程。我们希望从每个轨道进入的学生将保留该背景作为他们的专业知识和专业能力的主要领域，但将开发出很强的能力，在他们的专业领域（生物科学）内应用生物信息学，或将他们的专业领域应用于开发生物信息学（计算机和数学科学）问题的解决方案。这些课程将被设计成单元课程中的单元课程，少数群体服务机构可以根据具体机构的具体情况、需要和愿望加以调整。

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.