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 该更新申请寻求对生物信息学和生物信息学前培训计划的持续支持 波士顿大学的计算生物学。每年要求五个五个培训插槽，以支持 居住第一年的学员。生物信息学计划旨在为职业生涯做好准备 在分子生命科学中，他们将支持现代医学的进步。大部分 在人类基因组序列的框架上，这些进步取决于一堆高通量 产生大量数据的技术又反映了生物学的复杂性 网络。对这些信息的全面开发需要基于计算的跨学科工作。这 计划将灌输在这个新环境中所需的技能，包括（a）对生物学的理解 系统，（b）具有计算方法和统计数据的设施，特别是用于网络分析，以及（c） 能够与来自不同学科的同事互动和沟通。课程包括一个强大的 沿计算方法，统计方法，生物网络和数据库开发的教学基础， 深入研究生物系统。在整个培训中都强调体验式学习 课程。计划功能包括（1）生物信息学和系统的年度国际研讨会 生物学是波士顿，京都/东京的计算生物学研究生培训计划的联合承诺， 柏林; （2）挑战项目，该项目为一年级学员提供了制作原创的机会 大规模问题的研究； （3）湿lab体验，将新学员介绍给最先进的学员 夏天的艺术实验方法在他们正式进入该计划之前； （4）年度学生 - 有组织的研讨会； （5）三旋； （6）一个年度学生研讨会，学员们展示他们的 研究。重点是发展可再现和严格研究的技能，以及 交流科学。采用了许多机制来协助学员为多样化做准备 职业道路。来自查尔斯的16个部门的杰出培训学院由28名成员组成 波士顿大学的河流和医疗校园。导师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。几个导师 从事翻译生物信息学。通过计算和实验的学员共同审议 导师强烈鼓励。学生在定义跨学科研究项目中发挥了重要作用。 目前已获得T32赠款支持的16名学员正在攻读博士学位。他们是一个 目前是波士顿大学生物信息学博士学位的54名学员的子集。程序。