Cancer Biology, Informatics & Omics (CBIO) Training Program

项目总结 癌症生物学、信息学和基因组学(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 在癌症研究方面，这与国家减轻癌症负担的目标直接相关。这个 拟议的培训基于三个理由：(1)癌症诊断和治疗方面的进展 在癌症相关生物学过程基础研究发现的推动下；(2)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和癌症- 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 需要精通组学技术和计算工具。基于这些理由，CBIO 培训课程的设计目的是(A)在先进系统和方法方面取得卓越的研究成果，(B) 提供癌症生物学和生物信息学的基础知识；(C)通过 摩尔癌症中心肿瘤委员会(MCC)，(D)通过研讨会与时俱进， 讲习班、国家会议和(E)通过方案会议和 撤退。CBIO计划的重点是大数据收集和分析，旨在为下一步 一代领导者加快癌症发现的步伐，推进精确度的交付 抗癌药物。CBIO计划挑选具有癌症相关研究专业知识的教员， 富有成效的研究计划，原则性的研究行为和出色的培训历史 细胞和分子医学、医学、病理学、儿科、药理学和外科。 CBIO还培养初级教员共同导师，以更新研究专业知识，并确保 程序。CBIO挑选学术成就突出和癌症相关论文的博士前学员 来自生物医学科学研究生项目的博士生的项目。之前的博士后实习生已经 作为公共和私营部门的教员和研究科学家，确立了富有成效的职业生涯。在 在最新的资助期间，培训已扩展到专注于癌症研究的博士后学者。搬家 未来，CBIO将为拥有博士学位的博士后提供个性化和量身定制的培训和职业发展 在生物科学、生物工程或计算机科学方面。执行委员会，由计划组成 主任、联席董事、一名具有全球癌症研究视角的教员和两名加州大学圣地亚哥分校的负责人 增强多样性，将挑选和评估学员和教职员工。一个外部咨询委员会将 每年审查计划指标，以确定培训活动、受训者和教职员工的优势和劣势。 由SOM和MCC领导人组成的内部咨询委员会将就计划提供指导 规划和发展。通过其活动，CBIO将成为大数据研究和培训的枢纽 UCSD医学院的癌症生物学、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.