BMI Bioinformatics Training Grant

BMI 生物信息学培训补助金

• 批准号: 10202621
• 负责人: Ryan D. Hernandez
• 金额: $ 58.52万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-07-01 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10202621
• 关键词: Bioinformatics; Body mass index; Grant; Training

ABSTRACT The UCSF Graduate Program in Bioinformatics is seeking continuation of its training program in Bioinformatics and Computational Biology. The program focuses on training young scientists who will serve as leaders in re- search at the interface between computation and biology. The training plan for coursework, enrichment activi- ties, and research reflects the fundamentally collaborative culture at UCSF. Thus, both the formal and informal features of the program have been designed to bring together students from different disciplines and train them for team-based problem solving. Although the focus is on computational research, all students are exposed to experimental biology in many aspects of their training including research rotations and research-based coursework. As a result, our graduates understand the sources of their data as well as how to manipulate it and are prepared to interact in multidisciplinary teams that require an understanding of both "wet" and "dry" scientific cultures. Our program has dramatically expanded our outreach efforts to recruit a diverse and talent- ed group of students with computational and quantitative backgrounds, and have developed initiatives to foster a healthy community of inclusion and respect for students across all races, religions, countries of origin, sexual orientations, genders, and ethnicities. We stand with all students, and train them to tackle challenging prob- lems in biology at scales that span the molecular to the phenotypic. The hallmarks of our program include: ● Collaborative and inter-disciplinary research. Training faculty are heavily involved in collaborative research, both within and outside of UCSF. Many of their labs (and trainees) are involved in Consortia or Centers created to address problems that cannot be solved from a single viewpoint but require contributions from many disciplines. Student publications reflect this culture. ● An innovative and evolving curriculum. Our core values of collaboration and interdisciplinary research are instilled from day one in “Bootcamp”, and continue in well-tested and new intensive project-based core courses designed to establish a common knowledge and language, and to foster team skills. A modular panel of “selectives” addresses important knowledge gaps in statistics and computer/data science, inherent in the diverse scientific backgrounds of our students. Current and new `mini courses' facilitate deep explo- ration of research topics in small groups with faculty experts, and allow the curriculum to adjust to current scientific developments, and in response to student and alumni feedback and program assessment. ● Intensive training in communication, and preparation for diverse careers. We emphasize training in key competencies needed in diverse careers in academia, industry, or the public sector, including oral and writ- ten presentation, communication, and teamwork skills. Students can participate in career preparation work- shops and internships, and many take on leadership roles in outreach and teaching. Our alumni include leaders in both academia and industry, including several who have started successful companies.

摘要 加州大学旧金山分校生物信息学研究生课程正在寻求其在生物信息学培训计划的延续 和计算生物学该计划的重点是培养青年科学家谁将担任领导人在重新 在计算和生物学之间的界面上进行搜索。培训计划的课程，丰富的活动， 联系，研究反映了UCSF的基本协作文化。因此，正式和非正式的 该计划的特点是将来自不同学科的学生聚集在一起，并对他们进行培训 以团队为基础解决问题。虽然重点是计算研究，所有的学生都接触到 实验生物学在他们的训练，包括研究轮换和研究为基础的许多方面 课程作业因此，我们的毕业生了解他们的数据来源以及如何操作它 并准备在需要了解“湿”和“干”的多学科团队中进行互动 科学文化。我们的计划大大扩大了我们的外联工作，以招募多元化和人才- 艾德的学生与计算和定量背景，并制定了倡议，以促进 一个包容和尊重所有种族，宗教，原籍国，性别， 取向、性别和种族。我们与所有学生站在一起，并训练他们解决具有挑战性的问题- 从分子到表型都是生物学的基本要素。我们计划的特点包括： ·合作和跨学科研究。培训教师积极参与合作研究， 无论是在加州大学旧金山分校内外他们的许多实验室（和学员）都参与了联盟或中心 建立一个解决问题，不能从单一的观点解决，但需要贡献， 许多学科。学生出版物反映了这种文化。 创新和不断发展的课程。我们的合作和跨学科研究的核心价值观是 从第一天开始就在“训练营”中灌输，并继续在经过充分测试和新的密集项目为基础的核心 课程旨在建立共同的知识和语言，并培养团队技能。模块化 “选编”小组讨论统计和计算机/数据科学方面的重要知识差距， 我们学生的不同科学背景。当前和新的“迷你课程”有助于深入探索- 在小组与教师专家的研究课题定量，并允许课程调整，以适应当前的 科学发展，并回应学生和校友的反馈和计划评估。 ●在沟通方面的强化培训，以及为不同职业做准备。我们强调关键培训 在学术界，工业或公共部门的各种职业所需的能力，包括口头和书面， 十项演讲、沟通和团队合作技能。学生可以参加职业准备工作- 商店和实习，许多人在推广和教学中发挥领导作用。我们的校友包括 学术界和工业界的领导者，包括一些成功创办公司的人。