Assisting Bioinformatics Efforts at Minority Schools

这项建议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。我们将在一个四部分的节目中做到这一点。第一个是密集的两个- 为期一周的匹兹堡超级计算中心（PSC）生物信息学暑期研究所的教职员工; 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报道， 计算生物学其次，方案支助委员会工作人员将前往选定的少数民族机构， 生物信息学，目前的研究研讨会，讨论开放的研究问题，生物信息学与感兴趣的教师 成员，并协助当地教师在团队教学的生物信息学课程。第三是学生实习计划 来自少数民族机构来PSC进行为期五周的密集研究经验。第四，我们正在扩大 我们最初的计划包括课程开发工作，以提供一套课程，以支持生物信息学 努力;这通常涉及生物科学，计算机科学和数学的学生 部门虽然一般，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）、计算机专业 (e.g., CS，IS）和建模专业（例如，数学、工程学）。我们预计将有两个课程， 专业领域：一个调查课程，是由学生在其他专业领域，和两个深入的课程， 都是由该专业的学生选修的。我们希望从每个轨道进入的学生将保留这种背景， 他们的专业知识和专业能力的主要领域，但将发展强大的应用能力生物信息学 在其专业领域（生物科学）或应用其专业领域开发解决方案， 生物信息学问题（计算机和数学科学）。这些课程将被设计为模块课程， 为少数群体服务的机构可以调整模块课程，以满足特殊情况、需要和 具体机构的愿望。

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.