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Training & tools for Informationists to facilitate sharing of Next Generation Sequencing data.

训练

基本信息

批准号：
9243680
负责人：
HAROLD P. LEHMANN
金额：
$ 4.94万
依托单位：
JOHNS HOPKINS UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2016
资助国家：
美国
起止时间：
2016-06-01 至 2016-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9243680
关键词：
Accelerometer Address Basic Science Behavior Big Data to Knowledge Bioethics Bioinformatics Biomedical Research Child Clinical Clinical Research DNA Sequence Data Data Science Data Set Databases Educational Curriculum Educational process of instructing Ethical Issues Ethics Exercise Faculty Genetic Genetic Crossing Over Genetic Materials Genetic Variation Genomics Guidelines Health Heart Individual Informed Consent Knowledge Lead Learning Learning Module Left Librarians Libraries Medical Libraries Metadata Methods Modeling Nucleotides Ownership Patients Persons Population Privacy Process Productivity Research Research Personnel Resource Sharing Resources Scientist Series Students Testing Textbooks Trainers Training Training United States National Institutes of Health Universities base big biomedical data biomedical scientist clinical practice data sharing design education research epigenetic variation exome sequencing experience genetic makeup genome sequencing multidisciplinary next generation sequencing programs skills tool whole genome

项目摘要

DESCRIPTION (provided by applicant): The heart of the "genomic" boom is the sequencing of patient's genetic material that is, finding out the specific sequences of genetic components (nucleotides) that defines a person's genetic makeup. Current "next generation sequencing" (NGS) produces huge amounts of data. An important aspect of such data is that for us to learn from them, other scientists and researchers need to compare different sequences, so individuals researchers should upload their data to large databases the enable such comparisons. We propose creating 3 online modules that move researchers closer to such sharing. First is a module that teaches an overall perspective of the entire process of NGS research. Second is one that teaches the ethical issues related to such research, in general and sharing, in particular. Third is one that teaches the specific knowledge and skills needed to share the datasets themselves. In each module, there will be examples that show the concepts being taught, that enable the user to try the concepts out, and that enable the user to be tested for skills and knowledge of that Module. The Modules will be made available to the public as integrated modules via Coursera and as individual components from the Johns Hopkins Welch Medical Library Bioinformatics Portal.

描述（由申请人提供）：“基因组”热潮的核心是对患者遗传物质进行测序，即找出定义一个人基因组成的遗传成分（核苷酸）的特定序列。当前的“下一代测序”（NGS）产生大量数据。此类数据的一个重要方面是，为了让我们向它们学习，其他科学家和研究人员需要比较不同的序列，因此个人研究人员应该将他们的数据上传到大型数据库，以便进行此类比较。我们建议创建 3 个在线模块，使研究人员更接近这种共享。第一个模块教授 NGS 研究整个过程的整体视角。第二个是教授与此类研究相关的伦理问题，特别是共享问题。第三是教授共享数据集本身所需的具体知识和技能。在每个模块中，都会有一些示例来显示所教授的概念，使用户能够尝试这些概念，并能够测试用户该模块的技能和知识。这些模块将通过 Coursera 作为集成模块向公众提供，并作为约翰·霍普金斯韦尔奇医学图书馆生物信息学门户的单独组件向公众提供。