NIH-NSF BBSI on Simulation and Computer Visualization of Biological Systems at Multiple Scales

提案编号：0234002 PRINCIPAL调查员：Bahar，IVetInn名称：匹兹堡大学TITLE：NIH-NSF BBSI关于多尺度生物系统的模拟和计算机可视化abr本项目是开发一个名为NIH-NSF BBSI关于多尺度生物系统的模拟和计算机可视化的生物工程和生物信息学夏季研究所(BBSI)。本科生和研究生，具有较强的分析和定量技能，并具有很高的计算生物学、生物工程或生物信息学职业潜力。BBSI将是匹兹堡大学(牵头机构)、匹兹堡超级计算中心和杜肯大学的联合项目，还将包括卡内基梅隆大学的教师。这个学术团体的一个主要优势是在生物模型和模拟方面的经验的广度和深度，从分子到多细胞，从分析方法到大规模并行计算。其目标是：(I)通过一系列跨学科的讲座、计算实验室课程和传统本科课程所没有的独立研究机会，为学生提供独特的培训和研究经验；具体地说，介绍分子到细胞分析方法的综合观点，以及预测性理论和计算研究所需的基本物理化学、统计力学和动力学原理；(Ii)拓宽学生对后基因组计算和数学研究领域的看法，包括分子、细胞和系统生物学，并(Iii)激励学生在该领域追求职业生涯(S)。申请者将被接受，来自基础生命科学或物理科学，计算机科学，数学或工程，以及三名一年级研究生。为期十周的课程将包括六周的讲课和计算机实验室课程，三周的指导研究活动，以及一周的学生陈述。此外，每周一次的系列研讨会将涵盖广泛的相关主题，包括当地或特邀外部专家的演讲，以及关于科学道德和职业机会的讨论。由学生组织的期刊俱乐部，以及高年级或研究生参与教学活动，将确保有效的沟通，并有助于职业发展。

PROPOSAL NO.: 0234002PRINCIPAL INVESTIGATOR: Bahar, IvetINSTITUTION NAME: University of PittsburghTITLE: NIH-NSF BBSI on Simulation and Computer Visualization of Biological Systems at Multiple ScalesABSTRACT This project is to develop a Bioengineering & Bioinformatics Summer Institute (BBSI) entitled NIH-NSF BBSI on Simulation and Computer Visualization of Biological Systems at Multiple Scales. for undergraduate and graduate students with strong analytical and quantitative skills, and high potential for careers in Computational Biology, Bioengineering, or Bioinformatics. The BBSI will be a joint program of the University of Pittsburgh (lead institution), the Pittsburgh Supercomputing Center, and Duquesne University, and will also include faculty from Carnegie Mellon University. A major strength of this academic community is the breadth and depth of experience with biological models and simulations, from molecular to multicellular, and from analytical approaches to massively parallel computing. The objectives are to: (i) provide students with a unique training and research experience through a series of cross-disciplinary lectures, computational laboratory sessions, and independent research opportunities not available in traditional undergraduate programs; specifically, to present an integrated view of molecular-to-cellular analytical approaches and fundamental physicochemical, statistical mechanical, and kinetic principles needed for predictive theoretical and computational research; (ii) broaden the student's view of post-genomic computational and mathematical research areas in molecular, cellular, and systems biology, and (iii) motivate students to pursue careers in the field(s). Applicants will be accepted, from basic life or physical sciences, computer science, mathematics or engineering, and three first year graduate students. A ten-week program will encompass six weeks of lecture and computer lab coursework, three weeks of mentored research activity, and 1 week of student presentations. In addition, a weekly seminar series will cover a wide variety of related topics with presentations from local or invited outside experts, as well as discussions of scientific ethics and career opportunities. Student-organized journal clubs, and involvement of senior or graduate students in teaching activities will ensure efficient communication and contribute to professional growth.