Predoctoral Training in Bioinformatics and Computational Biology

生物信息学和计算生物学博士前培训

• 批准号: 10405915
• 负责人: THOMAS D TULLIUS
• 金额: $ 8.02万
• 依托单位: BOSTON UNIVERSITY (CHARLES RIVER CAMPUS)
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-01 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10405915
• 关键词: Bioinformatics; Computational Biology; Training; pre-doctoral

Project Summary/Abstract This renewal application seeks continued support for the Predoctoral Training Program in Bioinformatics and Computational Biology at Boston University. Five predoctoral training slots per year are requested, to support trainees for the first year of residence. The Bioinformatics Program aims to prepare top researchers for careers in the molecular life sciences who will support the advances now underway in modern medicine. Based largely on the framework of the human genome sequence, these advances depend upon a battery of high-throughput techniques that generate enormous quantities of data that in turn reflect the complexities of biological networks. Full exploitation of this information requires computation-based, interdisciplinary efforts. The Program will inculcate the skills required in this new environment, including (a) an understanding of biological systems, (b) facility with computational methods and statistics, especially for network analysis, and (c) the ability to interact and communicate with colleagues from diverse disciplines. The curriculum includes a strong didactic foundation in computational methods, statistics, biological networks, and database development, along with in-depth examination of biological systems. Experiential learning is emphasized throughout the training curriculum. Program features include (1) the annual International Workshop in Bioinformatics and Systems Biology, a joint undertaking of computational biology graduate training programs in Boston, Kyoto/Tokyo, and Berlin; (2) the Challenge Project, which offers teams of first-year trainees the opportunity to do original research on large-scale problems; (3) the Wet-Lab Experience, which introduces new trainees to state-of-the- art experimental methods in the summer before they officially enter the program; (4) the annual Student- Organized Symposium; (5) three rotations; and (6) an annual Student Seminar at which trainees present their research. Emphasis is placed throughout in developing skills in reproducible and rigorous research, and in communicating science. Numerous mechanisms are employed to assist trainees in preparing for diverse career paths. A distinguished training faculty of 28 members is drawn from 16 departments from the Charles River and Medical campuses of Boston University. Areas of mentor research include genomics, proteomics, epigenetics, neurobiology, biological networks, synthetic biology, systems biology, statistical methods in bioinformatics, metabolomics, virology, immunology, the microbiome, and structural biology. Several mentors are engaged in translational bioinformatics. Co-advising of trainees, by computational and experimental mentors, is strongly encouraged. Students play a large role in defining their interdisciplinary research projects. 16 trainees who have been supported by this T32 grant currently are working towards the Ph.D.; they are a subset of the 54 trainees who currently are members of the Boston University Bioinformatics Ph.D. program.

项目摘要/摘要 此续订申请寻求对生物信息学博士前培训计划的持续支持 波士顿大学计算生物学。要求每年提供五个博士前培训时段，以支持 入驻第一年的实习生。生物信息学计划旨在为顶尖研究人员的职业生涯做准备 在分子生命科学中，谁将支持目前正在进行的现代医学的进步。主要基于 在人类基因组序列的框架上，这些进展依赖于一组高通量 产生大量数据的技术，这些数据反过来反映了生物的复杂性 网络。充分利用这些信息需要基于计算的跨学科努力。这个 该计划将灌输在这种新环境中所需的技能，包括：(A)对生物学的理解 系统，(B)便于计算方法和统计，特别是用于网络分析，和(C) 能够与来自不同学科的同事进行互动和沟通。该课程包括一个强大的 计算方法、统计学、生物网络和数据库开发方面的教学基础 以及对生物系统的深入研究。在整个培训中强调体验式学习 课程设置。计划的特点包括(1)生物信息学和系统年度国际研讨会 生物，波士顿、京都/东京的计算生物学研究生培训项目的联合项目，以及 柏林；(2)挑战计划，该计划为一年级的实习生团队提供机会去做原创 大型问题的研究；(3)湿实验室体验，介绍新学员了解最新情况 正式进入项目前的暑期艺术实验方法；(4)每年一度的学生- 组织研讨会；(5)三次轮换；(6)每年一次的学员研讨会，学员在研讨会上介绍他们的 研究。始终强调在可重复和严谨的研究中发展技能，并在 传播科学。许多机制被用来帮助受训人员准备各种 职业道路。一支由28名成员组成的杰出培训人员来自查尔斯大学的16个系 波士顿大学的里弗河和医学院。Mentor研究领域包括基因组学、蛋白质组学、 表观遗传学，神经生物学，生物网络，合成生物学，系统生物学，统计方法 生物信息学、代谢组学、病毒学、免疫学、微生物组和结构生物学。几位导师 从事翻译生物信息学的研究。通过计算和实验为受训人员提供共同建议 导师，是受到强烈鼓励的。学生在定义他们的跨学科研究项目方面发挥着很大的作用。 获得这项T32资助的16名学员目前正在攻读博士学位；他们是 目前是波士顿大学生物信息学博士项目成员的54名学员中的一部分。