BMI Bioinformatics Training Grant

摘要 加州大学旧金山分校生物信息学研究生计划正在寻求继续其生物信息学培训计划 和计算生物学。该计划的重点是培养年轻的科学家，他们将成为再研究领域的领导者。 在计算和生物之间的交界处进行搜索。课程作业、丰富活动的培训计划- 纽带和研究反映了加州大学旧金山分校的根本合作文化。因此，无论是正式的还是非正式的 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。虽然本课程的重点是计算研究，但所有学生都接触到 实验生物学在多个方面的培训，包括研究轮换和以研究为基础 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处理这些数据 并准备好在多学科团队中进行互动，这些团队需要同时了解“湿”和“干”。 科学文化。我们的计划极大地扩大了我们的外展努力，以招募多元化和人才- 一群具有计算和量化背景的学生，并已制定了促进 一个健康的社区，包容和尊重所有种族、宗教、原籍国、性别的学生 取向、性别和种族。我们与所有学生站在一起，训练他们解决具有挑战性的问题- Lems在生物学中的比例从分子到表型都有。我们计划的特点包括： 协作性和跨学科研究。培训教师大量参与合作研究， 加州大学旧金山分校内外都是如此。他们的许多实验室(和实习生)都参与了财团或中心 创建的目的是解决不能从单一角度解决但需要 很多学科。学生出版物反映了这种文化。 一个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 从第一天起就在“训练营”中灌输，并继续在经过良好测试和新的基于密集项目的核心中 课程设计旨在建立共同的知识和语言，并培养团队技能。模块化的 “选择”小组处理统计和计算机/数据科学方面固有的重要知识差距 在我们学生的不同科学背景中。现有的和新的迷你课程促进了深度探索- 与教师专家以小组形式进行研究主题的比例，并允许课程根据当前情况进行调整 科学发展，并回应学生和校友的反馈和项目评估。 加强沟通培训，为不同的职业生涯做准备。我们强调重点培训。 在学术界、工业界或公共部门从事不同职业所需的能力，包括口头和书面- 十项表达能力、沟通能力和团队合作能力。学生可以参与职业准备工作-- 商店和实习，许多人在外展和教学中担任领导角色。我们的校友包括 学术界和工业界的领军人物，包括几位创办了成功公司的人。

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.