Establishing a Network of Skilled BD2K Practitioners: The Summer Workshop on Population-Scale Genomic Studies of Environmental Stress

建立熟练的 BD2K 从业者网络：环境压力人口规模基因组研究夏季研讨会

• 批准号: 9043623
• 负责人: Joseph R. Shaw
• 金额: $ 12.79万
• 依托单位: MOUNT DESERT ISLAND BIOLOGICAL LAB
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-30 至 2018-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9043623
• 关键词: Accounting; Active Learning; Address; Affect; Animal Model; Area; Big Data; Bioinformatics; Biological; Biology; Biomedical Research; Biostatistical Methods; Couples; Coupling; Data; Data Set; Discipline; Ecology; Educational workshop; Ensure; Environment; Environmental Health; Experimental Designs; Faculty; Foundations; Generations; Genomics; Goals; Health; Human; Individual; Informatics; Knowledge; Laboratories; Link; Manuals; Methods; Mission; Modeling; Participant; Physiology; Population; Population Genetics; Publications; Research; Research Personnel; Research Project Grants; Science; Scientist; Series; Staging; Stress; Students; Technology; Training; United States National Institutes of Health; Variant; base; career; design; experience; fitness; gene environment interaction; gene function; genome sequencing; high throughput technology; interest; lectures; multidisciplinary; new technology; novel; programs; public health relevance; rapid growth; research study; responsible research conduct; skills; tool; transcriptome sequencing; virtual

 DESCRIPTION (provided by applicant): The application of high-throughput technologies in biomedical research has become widespread and requires specialized skills to effectively design experiments analyze large datasets and integrate new data with existing large datasets. These technologies are increasingly being applied in environmental health sciences to provide comprehensive and timely mechanistic knowledge on how the environment affects human health. With the increased application of these technologies, more researchers need training to conceptually develop, properly design and implement comprehensive, large-scale big data studies. Accordingly, our proposed program in Population-Scale Genomics Studies of Environmental Stress has the long-term goal of training a network of Big Data to Knowledge (BD2K) practitioners in the application of modern sequencing technologies, computational approaches and biostatistical methods. The program couples three annual training workshops with networking tools aimed at keeping participants trained, engaged and connected. Workshops will feature a faculty of prominent researchers to provide the training necessary to maximize the application of these technologies. Each workshop will feature novel datasets of model organisms that participants create and analyze to link gene-environment interactions with the fitness of individuals. Hands-on training in a number of bioinformatics tools will be provided. Within this inquiry-based framework, faculty will lecture on a diverse set of topics including ecological genomics, experimental design, genome sequencing and population genetics. Workshops will include a module on responsible conduct of research. The proposed program builds upon our existing Environmental Genomics Course at MDI Biological Laboratory that was first established in 2010. To our knowledge, it is the only course of its kind in the U.S. that provides a highly interactive, hands-on research experience for researchers interested in studying gene-environment interactions using natural populations. The proposed workshop training is modeled after our 2014 Environmental Genomics Course and forms the foundation with which to build a network of expertly trained BD2K practitioners. The proposed BD2K practitioner network will ensure long-term benefits for program participants especially as new technologies and analysis methods arise in this rapidly changing field.

 描述（由应用程序提供）：高通量技术在生物医学研究中的应用已广泛，需要专门的技能来有效设计实验分析大型数据集并将新数据与现有的大数据集集成在一起。这些技术越来越多地应用于环境健康科学，以提供有关环境如何影响人类健康的全面机械知识。随着这些技术的越来越多的应用，越来越多的研究人员需要培训，以从概念上开发，正确设计并实施全面的大型大数据研究。根据，我们在人群尺度基因组学研究环境压力研究中提出的计划的长期目标是将大数据网络培训为知识（BD2K）实践者在现代测序技术，计算方法和生物统计学方法的应用中。该计划将三个年度培训讲习班与网络工具融合在一起，旨在使参与者受到培训，参与和联系。研讨会将由著名研究人员组成，以提供最大程度地应用这些技术的培训。每个研讨会都将包含参与者创建和分析以将基因环境相互作用与个人适应性联系起来的新型模型生物数据集。将提供许多生物信息学工具的动手培训。 在这个基于询问的框架中，教师将讲授一系列潜水员的主题，包括生态基因组学，实验设计，基因组测序和种群遗传学。讲习班将包括一个负责任的研究的模块。拟议的计划基于MDI生物实验室现有的环境基因组学课程，该课程于2010年首次成立。据我们所知，这是美国唯一为有利于研究基因 - 环境相互作用的研究人员提供高度互动的动手研究经验的过程。拟议的研讨会培训是在我们2014年环境基因组学课程之后建模的，并构成了建立经过培训的BD2K从业人员网络的基础。拟议的BD2K实践者网络将确保计划参与者的长期利益，尤其是在这个快速变化的领域中出现新技术和分析方法时。