Proteomics & Genomics Hands-On Workshop: From Sample Preparation to Data Analysis

描述（由申请人提供）： 近年来，基因组学和蛋白质组学已成为生物医学研究的关键技术， 导致热衷于在研究中利用这些技术的研究人员对培训的兴趣激增。使用这些先进技术需要训练有素的人员才能产生有价值的成果、高质量的出版物和卓越的资助申请。为了获得最大的效益，最好在实验开始之前进行教育，以减少选择错误平台的可能性。例如，整合“组学”技术的第一步是提出一个明确的假设，该假设清楚地定义了正在调查的研究问题。为了检验假设，研究人员必须选择要使用的平台，这需要了解可用的技术以及每种方法的优缺点。或者，研究人员可能会确定基因组学和蛋白质组学方法的结合是必要的。仔细的实验​​设计对于项目的成功以及解释结果至关重要。鉴于这些技术生成的大型数据集，生物统计学、数据分析和生物信息学知识至关重要，许多研究人员在这些领域需要额外的培训，特别是在“组学”研究背景下。为了解决上述问题，至少可以进行两种类型的“组学”技术培训 设想：1）以讲习班的形式进行即时、短期培训，2）以研究生教育计划的形式进行长期、全面的指导。当前的提案旨在通过在一个连贯的、基于实验的框架中提供基因组学和蛋白质组学的实践培训来满足前一个需求。该提案的负责人开发并教授了涵盖蛋白质组学、基因组学、生物信息学和生物统计学的课程，拟议课程的课程将融合他们的专业知识，以提供这些关键技术的全面培训概述。具体来说，我们建议实现以下目标：建立一个课程，使蛋白质组学和基因组学技术中的成果结构化学习成为可能，利用实践技术和由经验丰富的研究人员和教育工作者建立的模型提供新颖的培训体验，传播教育材料，使知识和信息可以用于造福广大受众，并为年轻和成熟的研究人员提供和/或充当合作机会的门户。 （摘要完）

DESCRIPTION (provided by applicant): In recent years, genomics and proteomics have emerged as key technologies in biomedical research, resulting in a surge of interest in training by investigators keen to utilize these technologies in their research. Use of these advanced technologies requires trained personnel in order to produce valuable results, quality publications, and superior grant applications. To be of maximum benefit, education should ideally occur before experiments are begun, in order to lessen the possibility that the wrong platform is chosen. For example, a first step toward integrating "omics" technologies is the development of a well-stated hypothesis which clearly defines the research question under investigation. In order to test the hypothesis, the researcher must choose which platform to utilize and this requires an understanding of the technology available and the strengths and weaknesses of each approach. Alternatively, an investigator may determine that a combination of genomics and proteomics approaches is necessary. Careful experimental design is then critical to the success of the project as well as for interpreting the results. Given the large datasets generated by these technologies, knowledge of biostatistics, data analysis, and bioinformatics are vital and these are areas in which many investigators require additional training, specifically in the context of "omics" research. To address the issues outlined above, at least two types of training in "omics" technologies can be envisioned: 1) immediate, short-term training in the form of workshops, and 2) long-term, comprehensive instruction in the form of graduate education programs. The current proposal aims to fill the former need by providing hands-on training in genomics and proteomics in a coherent, experimentally-based framework. The Directors of the proposal have developed and taught courses covering Proteomics, Genomics, Bioinformatics, and Biostatistics and the curriculum for the proposed course will merge their expertise to provide a comprehensive training overview of these key technologies. Specifically, we propose to accomplish the following: build a curriculum enabling outcome-structured learning in proteomics and genomics technologies, provide novel training experiences using hands-on techniques and an established model by experienced investigators and educators, disseminate educational materials such that knowledge and information can be used to benefit a wide variety of audiences, and provide and/or act as portal for collaborative opportunities for both young and established investigators. (End of Abstract)