A Data Coordinating Center for ENCODE

ENCODE 数据协调中心

• 批准号: 8548391
• 负责人: J. Michael Cherry
• 金额: $ 249.99万
• 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/8548391
• 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; public health relevance; 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）：编码数据协调（DCC）组件到编码数据库协调和分析中心的目标是通过定义和建立将所有参与者连接到数据并创建将这些数据分配到更大的生物学研究社区的访问的途径的管道来支持编码财团。该编码联盟将实验室汇集在一起​​，通过实验测定法与实验室生成复杂的数据类型，这些实验室使用计算分析整合了这些唯一数据，以发现染色体元素如何共同起作用以定义人类细胞。 DCC的参与通过创建结构化管道来增强这些实验室创建的数据，以验证和验证所有提交的数据，并为元数据的文档提供了描述每个生物样品和测定方法的元数据的过程。为了促进访问先前编码项目创建的所有数据，以及来自Modencode项目的数据以及确定适合合并的任何其他大数据收集，DCC将构建一个名为“大数据中心”的最先进的数据存储存储库。 DCC将设计和开发新软件，以增强数据提交和处理管道，组织以及对元数据和大数据中心的访问。此外，我们将创建编码门户，该门户将成为实验确定的信息以及计算分析结果的主要入口点。门户网站将集成这些数据资源，并通过增强的搜索和浏览功能使其可用。将实施工具，以帮助经验丰富的生物信息学家和幼稚的实验室人员发现。 DCC将演变成一个实质性的服务组织，使生物医学研究能够充分利用编码结果。为此，DCC将通过许多媒体提供文档，包括书面文档，视频教程，网络研讨会和会议演示文稿。 DCC，DAC和AWG将紧密编织在一起，以创建EDCAC。