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（由申请人提供）：杜克大学计算生物学和生物信息学项目 (CBB) 是一项博士前培训项目，该项目招收自己的学生并在完成后授予他们博士学位。计算机科学、统计学、数学、物理和工程学的方法，使学生能够成功应对生物医学领域的当代挑战。此外，CBB 还培训学生 1) 独立工作并作为协作团队的一部分， 2) 负责任地进行研究，特别致力于数据共享和可重复的分析，3) 向广泛的受众有效地传播科学，4) 在正式和非正式的环境中进行教学，5) 发展他们的专业和领导技能，为CBB 在培养学生成为定量科学和生物医学科学交叉领域的领导者方面发挥着独特的作用，不断发展和繁荣。期刊俱乐部，每周一次的研讨会，吸引 CBB 内外的研究人员，以及来自热情顾问、联合顾问和论文委员会的实践指导。负责任的研究行为培训（作为一个新的重点， CBB 拥有包容性和知识丰富的互动、协作和社区文化，这是通过每周研讨会、年度务虚会和社交活动培育出来的今年，CBB 的教职人员聚集在一起，在计算生物学的广泛主题上进行前沿研究，这转化为他们在 CBB 活动中的高参与率。 ，并且可用的资金使他们成为优秀的研究导师，其选择性（16％）非常出色，其保留率（87％）非常出色，并且获得博士学位的平均时间为迄今为止，CBB 已培养了 37 名博士毕业生，并在学术界、工业界和政府实验室中取得了出色的职位，并于 2002 年获得博士学位授予项目。 ，CBB 于 2005 年首次获得 NIH T32 培训补助金，并于 2011 年更新了 T32，提供了 4 个资助名额。不过，CBB 通常会招收约 8 名新生。每年，因此 T32 仅支持 25% 的一年级和二年级学生，因为 CBB 的使命与 NIH 的广泛目标相一致、其在校园中独特的培训作用、高质量的培训以及完美的排名记录。随着毕业生在学术界、工业界和政府实验室的优秀职位，以及申请者规模和能力的增长，CBB 要求将资助名额增加到 8 个，CBB 每年可以招收 10 名新生。 T32 将支持 40% 的一年级和二年级学生。