UCLA Pediatric Research Education Program in Bioinformatics, Computational Biology, and Omics

项目摘要/摘要 生物信息学、计算生物学和组学是有潜力发现新的 导致先天性出生缺陷的分子/细胞机制和基因网络的发现， 儿童代谢和遗传障碍、器官功能障碍、免疫系统紊乱和癌症 病人。加州大学洛杉矶分校大卫·格芬医学院儿科系建议填补 儿科研究生医学教育(GME)临床专业教育和深度培训亟待加强 生物医学大数据分析学员，推动建立多学科网络和 在这些专业领域提供合作机会，并为学员提供通向成功的桥梁 作为临床医生或临床医生-科学家参与多学科团队科学，以获得未来的资金 发现和改善儿童障碍(即T32、K23、K12、K08)和 研究途径多样化。该计划将重点招募来自不同领域的儿科GME实习生 背景，对临床研究人员或医生-科学家职业感兴趣，并希望 培养大数据分析方面的基础技能。具体地说，该计划将针对第二年的儿科住院医生 或第三年的培训和儿科专科研究员在其第二年的培训开始。12周 该计划将在学年开始时进行，将包括由加州大学洛杉矶分校教授的每周教学讲座 拥有生物信息学、生物统计学、计算生物学和组学方面的专业知识，涵盖BIG的关键领域 数据科学和组学，辅以与教学讲座中提出的具体主题相联系的讲习班， 和互动的杂志俱乐部会议。互动研讨会，由教员和加州大学洛杉矶分校量化 和计算生物科学合作实验室博士后研究员，将加强教学中的概念 通过实际实验数据集的分析和使用实践应用知识讲授 统计技术。日记俱乐部的课程将以翻转课堂的形式进行，并将强化概念 在讲授的讲座和研讨会中涵盖，以演示生物信息学和 导致儿科病人护理的新发现和进步的计算生物学技术。这个 该计划将允许机构以外的儿科实习生通过虚拟学习(混合学习)进行远程访问 格式)和在线教育内容的可用性。技能培养的关键领域将包括下一代 全基因组测序，转录组，蛋白质组和代谢组分析，单细胞RNA测序， DNA甲基化分析、微生物组分析和基因网络分析。这一计划将提供一个独特的 为儿科GME学员提供在非常重要的领域接受更正式指导和培训的机会 大数据分析，并直接与校园内的教职员工互动，超越了儿科系， 这些领域的专业知识可能会成为研究和职业指导，从而促进他们的 成功的学术之旅。

PROJECT SUMMARY/ABSTRACT Bioinformatics, computational biology, and omics are important areas that have the potential to uncover new discoveries in the molecular/cellular mechanisms and gene networks that lead to congenital birth defects, metabolic and genetic disorders, organ dysfunction, disorders of the immune system, and cancer in Pediatric patients. The Department of Pediatrics, David Geffen School of Medicine at UCLA proposes to fill the gap for much needed specialized education and in-depth training of pediatric graduate medical education (GME) clinical trainees in biomedical big data analysis, promote the establishment of multidisciplinary networks and opportunities for collaboration in these specialized areas, and provide a bridge for trainees towards successful participation as clinicians or clinician-scientists in multi-disciplinary team science towards obtaining future funding for the discovery and amelioration of childhood disorders (i.e. T32, K23, K12, K08) and academic careers in diverse research pathways. This program will focus on recruiting pediatric GME trainees from diverse backgrounds, with an interest in clinician researcher or physician-scientist careers, and who have a desire to build foundational skills in big data analysis. Specifically, the program will target Pediatric residents in their 2nd or 3rd year of training and Pediatric subspecialty fellows at the start of their 2nd year of training. The 12-week program, set to occur at the start of the academic year, will include weekly didactic lectures, taught by UCLA faculty with expertise in bioinformatics, biostatistics, computational biology, and omics, covering key areas of big data science and omics, accompanied by workshops linked to the specific topic presented in the didactic lectures, and interactive journal club sessions. The interactive workshops, conducted by faculty and UCLA Quantitative and Computational Biosciences Collaboratory postdoctoral PhD fellows, will reinforce concepts from the didactic lectures through hands-on application of the knowledge via analysis of actual experimental datasets and use of statistical techniques. The journal club sessions will be in a flipped classroom format and will reinforce concepts covered in the didactic lectures and workshops to demonstrate the application of bioinformatics and computational biology technology that lead to new discovery and advancement of Pediatric patient care. The program will allow for remote access by pediatric trainees beyond the institution through virtual learning (hybrid format) and availability of educational content online. Key areas of skills building will include next generation whole genome sequencing, transcriptome, proteome, and metabolome analysis, single cell RNA sequencing, DNA methylation analysis, microbiome analysis, and gene network analysis. This program will provide a unique opportunity for pediatric GME trainees to receive more formal instruction and training in the very important areas of big data analysis and directly interact with the faculty on campus, beyond the Department of Pediatrics, with expertise in these areas who could potentially serve as research and career mentors, thus facilitating their successful academic journey.