Assisting Bioinformatics Efforts at Minority Schools

这项提议是为了继续我们非常成功的计划，即帮助少数族裔机构 多学科生物信息学培训计划。我们将在四个部分的计划中做到这一点。第一个是密集的两个- 匹兹堡超级计算中心(PSC)为期一周的生物信息学暑期学院，面向教职员工； 它强调基于序列的生物信息学，但包括蛋白质组学、基因组学和其他方面的 计算生物学。第二，PSC工作人员将前往选定的少数族裔机构介绍 生物信息学，举办研究研讨会，与感兴趣的教师讨论生物信息学中的公开研究问题 成员，并协助当地教师团队教授一门生物信息学课程。第三个是学生实习计划。 来自少数族裔机构来PSC进行为期五周的密集研究体验。第四，我们正在扩张 我们最初的计划包括一项课程开发工作，以提供一套支持生物信息学的课程 努力；通常涉及生物科学、计算机科学和数学的学生 各部门。虽然课程一般，但主要是为了支持生物信息学的证书计划。 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 (例如，CS、IS)和建模专业(例如，数学、工程)。我们设想每个人都有两道菜 专业领域：由其他专业领域的学生学习的一门调查课程，以及两门深入的课程 都是由该专业的学生参加的。我们预计，从每个赛道进入的学生将保留该背景 他们的主要专业知识和专业能力，但将发展强大的能力，应用生物信息学 在他们的专业领域内(生物科学)或应用他们的专业领域来开发解决方案 生物信息学(计算机和数学科学)中的问题。这些课程将被设计为一个 可由少数族裔服务机构调整的模块化课程，以满足特定的情况、需求和 特定机构的愿望。

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 applybioinformatics 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.