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.

项目概要 目标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、计算和工程领域生物医学研究的领导者。 以麻省理工学院计算与系统生物学（CSB）跨学科博士前培训项目为中心， 这是麻省理工学院为对计算和系统生物学感兴趣的学生提供的主要培训项目 是唯一强调该领域跨学科培训和研究的项目。 集中于三个创始院系——生物工程（BE）、生物学和电气学 工程与计算机科学（EECS）——其他院系的教师也参与其中。 培训的研究兴趣涵盖教师的 CSB 相关领域，包括监管基因组学 和蛋白质组学、精准医学和医学基因组学、分子生物物理学和结构生物学、 该提案旨在扩展生物网络和机器学习以及癌症系统生物学。 培训教师队伍显着，其中包括过去 5 年新聘用的 7 名从事积极研究的教师 学生可以直接从本科或硕士申请 CSB 博士课程。 机构并接受计算和系统生物学领域的多学科和跨学科培训。 该提案寻求每年为 10 名博士前培训提供资金，从而扩大研究轮换范围并 参与特别计划活动。该计划的独特之处包括： (a) 异常多样化。 跨科学和工程的研究领域的集合，具有高度协作的跨学科教师； (b) 独特的跨学科课堂科目核心，结合了生物学、工程学、统计学和 (c) 强化咨询和多学科论文委员会，以优化培训经验 为来自不同学术背景的学生提供年度静修活动； 教师专注于研究、职业和跨学科研究的挑战。