Cancer Biology, Informatics & Omics (CBIO) Training Program

项目摘要 癌症生物学，信息学和组学（CBIO）培训计划在医学院（SOM）在 加州大学圣地亚哥分校（UCSD）为研究生和博士后学者提供培训 与国家减轻癌症负担的目标直接相关的发现癌症研究。的 建议的培训基于三个理由：（i）癌症诊断和治疗的进步是 由癌症相关生物过程的基础研究发现推动;（ii）癌症组学数据， 结合模式生物的组学研究，可以并将加速发现新的癌症- 相关基因功能和途径;以及（iii）人类系统癌症生物学的现代研究 需要熟练掌握组学技术和计算工具。基于这些理由，CBIO 培训课程旨在（a）在先进系统和方法方面取得卓越研究成果，（B） 提供癌症生物学和生物信息学的基础知识，（c）通过以下途径发展转化见解 摩尔癌症中心（MCC）的肿瘤委员会，（d）通过研讨会跟上进展， 讲习班、国家会议，以及（e）通过方案会议促进协作社区， 撤退。随着大数据收集和分析的重点，CBIO计划的目标是准备下一个 一代领导人，以加快癌症发现的步伐，并推进精确的交付 癌症药物CBIO项目选择具有癌症相关研究专业知识的教师， 富有成效的研究计划，有原则的研究行为和杰出的培训历史， 细胞与分子医学、内科、病理学、儿科、药理学和外科。 CBIO还开发初级教师共同导师，以更新研究专业知识，并确保连续性的 程序. CBIO选择具有杰出学术成就和癌症相关论文的predoc学员 生物医学科学研究生课程博士生的项目。以前的predoc学员有 作为公共和私营部门的教师和研究科学家建立了富有成效的职业生涯。在 在最近的资助期内，培训已扩大到专注于癌症研究的博士后学者。移动 未来，CBIO将为博士后和博士提供个性化和定制的培训和职业发展 生物科学、生物工程或计算机科学。一个执行委员会，由方案 主任，联合主任，具有全球癌症研究前景的教师导师和两名UCSD领导人， 多样性增强，将选择和评估学员和教师。外部咨询委员会将 每年审查计划指标，以确定培训活动、学员和教员的优缺点。 由SOM和MCC领导人组成的内部咨询委员会将提供项目指导 规划和发展。通过其活动，CBIO将成为大数据研究和培训的中心， 癌症生物学、癌症计算生物学和癌症组学技术。

PROJECT SUMMARY The Cancer Biology, Informatics & Omics (CBIO) training program in the School of Medicine (SOM) at the University of California, San Diego (UCSD) provides graduate students and post-doctoral scholars with training in discovery cancer research that is directly relevant to the nation's goal of lessening the burden of cancer. The proposed training is based on three rationales: (i) Advancements in cancer diagnosis and treatment are propelled by basic research discoveries on cancer-relevant biological processes; (ii) Cancer omics data, combined with omics studies in model organisms, can and will accelerate the discovery of new and cancer- relevant gene functions and pathways; and (iii) Modern investigation of cancer biology in the human system requires proficiency in omics technologies and computational tools. Based on these rationales, the CBIO training curriculum is designed to (a) achieve research excellence in advanced systems and approaches, (b) provide foundation knowledge on cancer biology and bioinformatics, (c) develop translational insights through Tumor Boards at the Moores Cancer Center (MCC), (d) keep pace with advancements through seminars, workshops, national conferences, and (e) foster a collaborative community through program meetings and retreats. With an emphasis on big data collection and analysis, the CBIO program aims to prepare the next generation of leaders to accelerate the pace of cancer discovery and to advance the delivery of precision cancer medicine. The CBIO program selects faculty preceptors with cancer-relevant research expertise, productive research programs, principled research conduct and outstanding training history from the Departments of Cellular & Molecular Medicine, Medicine, Pathology, Pediatrics, Pharmacology and Surgery. CBIO also develops junior faculty co-mentors to update the research expertise and to ensure continuity of the program. CBIO selects predoc trainees with outstanding academic achievements and cancer-relevant thesis projects from PhD students in the Biomedical Sciences graduate program. Previous predoc trainees have established productive careers as faculty and research scientists in the public and the private sectors. In the latest funding period, training has been extended to post-doc scholars focused on cancer research. Moving forward, CBIO will provide individualized and tailored training and career development to postdocs with PhDs in biological sciences, bioengineering, or computer sciences. An Executive Committee, consisting of Program Director, Co-Directors, a faculty preceptor with global cancer research perspectives and two UCSD leaders in diversity enhancement, will select and evaluate trainees and faculty. An External Advisory Committee will review program metrics annually to identify strengths and weaknesses of training activities, trainees and faculty. An Internal Advisory Committee consisting of leaders in the SOM and MCC will provide guidance on program planning and development. Through its activities, CBIO will serve as a hub for big data research and training in cancer biology, cancer computational biology and cancer omics technology in the UCSD School of Medicine.