Graduate Training in Computational and Systems Biology

计算和系统生物学研究生培训

• 批准号: 10441488
• 负责人: CHRISTOPHER B BURGE
• 金额: $ 52.04万
• 依托单位: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10441488
• 关键词: Computational Biology; Systems Biology; Training

Project Summary The objective is to support a Computational Systems Biology training program (CSBTP) to train students to become leaders in biomedical research at the interface of biology, computation and engineering. The effort is centered in MIT's interdisciplinary predoctoral training program in Computational and Systems Biology (CSB), which is the primary training program at MIT for students interested in computational and systems biology and is the only program that emphasizes interdisciplinary training and research in the field. Program faculty are concentrated in the three founding departments – Biological Engineering (BE), Biology, and Electrical Engineering & Computer Science (EECS) – with additional involvement of faculty from other departments. Research interests of training faculty span a wide range of CSB-related areas, including Regulatory Genomics and Proteomics, Precision Medicine and Medical Genomics, Molecular Biophysics and Structural Biology, Biological Networks and Machine Learning, and Cancer Systems Biology. This proposal seeks to expand the pool of training faculty significantly, including 7 faculty newly hired in the past 5 years who have active research programs in the field. Students apply directly to the CSB Ph.D. program from their undergraduate or Master’s institution and receive multi- and inter-disciplinary training in the field of computational and systems biology. The proposal seeks funding for 10 predoctoral traineeships per year, enabling extended research rotations and participation in special program activities. Unique aspects of the program include: (a) unusually diverse collection of research areas across science and engineering, with highly collaborative interdisciplinary faculty; (b) a unique core of interdisciplinary classroom subjects that combine biology, engineering, statistics and computation; (c) intensive advising and multi-disciplinary thesis committees to optimize the training experience for students from diverse academic backgrounds; (d) an annual retreat with participation of students and faculty focusing on research, careers, and challenges to interdisciplinary research.

项目摘要 目的是支持计算系统生物学培训计划（CSBTP），以培训学生 成为生物学，计算和工程界面生物医学研究的领导者。努力是 集中在MIT的计算和系统生物学（CSB）的跨学科前学培训计划， 这是MIT的主要培训计划，适用于对计算和系统生物学感兴趣的学生以及 是唯一强调该领域跨学科培训和研究的计划。课程教师是 集中在三个创始部门 - 生物工程（BE），生物学和电气 工程与计算机科学（EECS） - 其他部门的教职员工额外参与。 培训教师的研究兴趣跨越了CSB相关的广泛领域，包括监管基因组学 以及蛋白质组学，精密医学和医学基因组学，分子生物物理学和结构生物学， 生物网络和机器学习以及癌症系统生物学。该建议旨在扩大 大量的培训教师，包括过去5年中有7名新雇用的教师 该领域的程序。学生直接申请CSB博士学位。他们的本科或硕士的计划 机构并接受计算和系统生物学领域的多学科培训。 该提案每年寻求10个授课前培训的资金，从而扩大研究轮换和 参加特殊计划活动。该计划的独特方面包括：（a）异常潜水 跨科学和工程领域的研究领域，具有高度协作的跨学科教师； （b）结合生物学，工程，统计和 计算； （c）强化咨询和多学科论文委员会，以优化培训经验 适用于潜水员学术背景的学生； （d）每年的务虚会，并参与学生的参与 专注于研究，职业和跨学科研究挑战的教师。