Computational Biology and Bioinformatics Training Program

计算生物学和生物信息学培训计划

• 批准号: 9301568
• 负责人: Paul Mitaari Magwene
• 金额: $ 23.31万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-01 至 2021-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9301568
• 关键词: Bioinformatics; Computational Biology; Training Programs

 DESCRIPTION (provided by applicant): The Duke University Program in Computational Biology and Bioinformatics (CBB) is a predoctoral training program that admits its own students and grants them Ph.D. degrees upon completion. This interdisciplinary program provides rigorous, contextual training in quantitative approaches from computer science, statistics, mathematics, physics, and engineering so that its students are enabled to successfully address contemporary challenges across the biomedical sciences. In addition, CBB trains students to 1) work independently and as part of collaborative teams, 2) conduct research responsibly, with a particular commitment to data sharing and reproducible analysis, 3) effectively communicate science to a broad range of audiences, 4) teach in formal and informal settings, and 5) develop their professional and leadership skills in preparation for their careers. CBB continues to grow and flourish in its unique role on campus of training students to become leaders at the intersection of the quantitative and biomedical sciences. CBB provides high-quality training in both quantitative and biomedical sciences through coursework, research rotations, journal clubs, a weekly seminar that attracts researchers both within and beyond CBB, and hands-on mentoring from enthusiastic advisors, co-advisors, and dissertation committees. This is supplemented by training in responsible conduct of research (and as a new focus, in reproducible data analysis) and teaching, as well as by professional development opportunities that align with each student's individual development plan. CBB has an inclusive and intellectually rich culture of interaction, collaboration, and community, cultivated at its weekly seminar, annual retreat, and social events throughout the year. CBB brings together 55 faculty from 18 departments to conduct cutting-edge research across a wide range of topics in computational biology. Faculty enjoy the collaborative nature of the program, which translates into high participation rates in CBB activities. Their significant publication records, training experience, and available funding make them excellent research mentors. CBB's applicant pool is strong, its selectivity (16%) is excellent, its retention rate (87%) is outstanding, and its average time to the Ph.D. degree is 5.28 years. To date, CBB has produced 37 Ph.D. graduates and has a perfect track record of placing these graduates into excellent positions across academia, industry, and government labs. Approved as a degree-granting Ph.D. program in 2002, CBB first received NIH T32 training grant funding in 2005, and the T32 was renewed in 2011 with 4 funded slots. However, CBB typically admits ~8 new students each year, so the T32 supports just 25% of first- and second-year students. Given the alignment of CBB's mission with broad NIH goals, its unique training role on campus, the high quality of its training, its perfect record of placing its graduates into excellent positions in academia, industry, and government labs, and the growth in size and caliber of its applicants, CBB requests an increase to 8 funded slots. With 8 slots, CBB could admit 10 new students each year, and the T32 would support 40% of first- and second-year students.

 描述（由申请提供）：杜克大学计算生物学和生物信息学计划（CBB）是一项培训前培训计划，该计划承认自己的学生并授予他们博士学位。完成后的学位。该跨学科计划在计算机科学，统计，数学，物理和工程学的定量方法中提供了严格的上下文培训，以便使其学生能够成功解决生物医学科学的当代挑战。此外，CBB还将学生培训1）独立工作，并作为协作团队的一部分，2）进行负责研究的研究，特别承诺对数据共享和可重复分析进行特别承诺，3）有效地将科学传达给广泛的受众群体，4）在正式和非正式的环境中，以及5）5）为护理人员做好准备的专业和领导能力。 CBB在培训学生校园中的独特作用继续发展和蓬勃发展，成为定量和生物医学科学交集的领导者。 CBB通过课程，研究轮换，期刊俱乐部进行定量和生物医学科学的高质量培训，这是每周开创性的开创性，吸引了CBB内外的研究人员，以及发烧友顾问，共同顾问和论文委员会的动手心理。这是通过负责任进行研究（以及作为新的重点，可再现数据分析的新重点）以及教学以及与每个学生个人发展计划保持一致的专业发展机会的培训来补充的。 CBB在全年的每周半段，年度静修和社交活动中都有一种包容性和智力丰富的互动，协作和社区文化。 CBB汇集了来自18个部门的55位教职员工，在计算生物学的广泛主题上进行了尖端研究。教师享受该计划的协作性质，该计划转化为CBB活动中的高参与率。他们的重要出版记录，培训经验和可用资金使他们成为了出色的研究导师。 CBB的适用游泳池很强，其选择性（16％）非常出色，其保留率（87％）是出色的，并且其平均时间为博士学位。学位为5。28年。迄今为止，CBB已获得37博士学位。毕业生，并拥有将这些毕业生置于学术界，行业和政府实验室中出色职位的完美记录。被批准为学位授予博士学位。计划于2002年，CBB于2005年首次获得NIH T32培训赠款资金，2011年，T32续签了4个资助的老虎机。但是，CBB通常每年承认约8个新学生，因此T32仅支持一年级和二年级学生的25％。鉴于CBB的使命与广泛的NIH目标，其在校园中的独特培训角色，高质量的培训，其完美记录，将其毕业生置于学术界，工业和政府实验室的出色职位，以及其申请人规模和能力的增长，CBB要求增加至8个资金的老虎机。 CBB拥有8个老虎机，每年可以承认10名新学生，而T32将支持40％的一年级学生。