A Data Coordinating Center for ENCODE

ENCODE 数据协调中心

• 批准号: 8720219
• 负责人: J. Michael Cherry
• 金额: $ 64.49万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-21 至 2016-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8720219
• 关键词: Adopted; Back; Bioinformatics; Biological; Biological Assay; Biomedical Research; Caenorhabditis; Cells; Chromatin; Collection; Communities; Complement; Complex; Computer software; Controlled Vocabulary; Data; Data Analyses; Data Collection; Data Coordinating Center; Data Storage and Retrieval; Databases; Deposition; Development; Disease; Documentation; Elements; Encyclopedia of DNA Elements; Ensure; Environment; Galaxy; Genome; Genomics; Goals; Health; Homo; Human; Human Characteristics; Human Genome; Internet; Investigation; Laboratories; Metadata; Methods; Mus; National Human Genome Research Institute; Participant; Process; Production; Proteins; Public Health; RNA; Registries; Regulator Genes; Regulatory Element; Research; Research Personnel; Resources; Sampling; Scientist; Services; Site; Specific qualifier value; Structure; Technology; Time; Translations; Update; Work; Writing; biological research; computerized data processing; computing resources; data management; data portal; design; distributed data; experience; genome-wide; innovation; meetings; model organisms databases; outreach; repository; social; tool; transcription factor; user-friendly; verification and validation

DESCRIPTION (provided by applicant): The goals of the ENCODE Data Coordinating (DCC) component to the ENCODE Database Coordination and Analysis Center are to support the ENCODE Consortium by defining and establishing pipelines that connect all participants to the data and by creating avenues of access that distribute these data to the greater biological research community. The ENCODE Consortium brings together laboratories that generate complex data types via experimental assays with laboratories that integrate these unique data using computational analyses to discover how chromosomal elements function together to define the human cell. The DCC's participation enhances the data created by these laboratories through the creation of structured pipelines for the verification and validation of all submitted data and providing processes for the documentation of metadata that describe each biological sample and assay method. To facilitate access to all the data created by the previous ENCODE projects as well as data from the modENCODE project and any other large data collections that are determined to be appropriate for incorporation, the DCC will construct a state of the art data storage repository called the Big Data Hub. The DCC will design and development new software to enhance the data submission and processing pipeline, the organization and access to metadata and the Big Data Hub. In addition, we will create the ENCODE Portal that will be the primary entry point to the wealth of experimentally determined information as well as results of computational analyses. The Portal will integrate these data resources and make them available via enhanced search and browsing capabilities. Tools will be implemented to aid discovery by both experienced bioinformaticians and naive laboratory staff. The DCC will evolve into a substantial service organization allowing biomedical research to take full advance of the ENCODE results. To this end the DCC will provide documentation via many media including written documentation, video tutorials, webinars, and meeting presentations. The DCC, DAC, and AWG will be tightly woven together to create the EDCAC.

描述(由申请人提供)：ENCODE数据库协调和分析中心的ENCODE数据协调(DCC)部分的目标是支持ENCODE联盟，方法是定义和建立连接所有参与者与数据的管道，并创建将这些数据分发给更大的生物研究社区的访问途径。ENCODE联盟将通过实验分析生成复杂数据类型的实验室与使用计算分析整合这些独特数据的实验室结合在一起，以发现染色体元素如何共同作用来定义人类细胞。DCC的参与加强了这些实验室创建的数据，方法是建立结构化的管道，对所有提交的数据进行核实和确认，并为描述每种生物样本和化验方法的元数据提供记录程序。为了方便查阅以前的ENCODE项目创建的所有数据以及modENCODE项目的数据和任何其他被确定为适合纳入的大型数据集合，DCC将建立一个称为大数据中心的最先进的数据存储库。数据中心将设计和开发新的软件，以加强数据提交和处理渠道、元数据的组织和获取以及大数据中心。此外，我们将创建ENCODE门户，它将是获取大量实验确定的信息以及计算分析结果的主要切入点。该门户将整合这些数据资源，并通过增强的搜索和浏览功能使其可用。有经验的生物信息学家和幼稚的实验室工作人员都将使用工具来帮助发现。DCC将发展成为一个实质性的服务组织，使生物医学研究充分利用ENCODE结果。为此，发改委将通过多种媒体提供文件，包括书面文件、视频教程、网络研讨会和会议演示。DCC、DAC和AWG将紧密编织在一起，创建EDCAC。