A Data Coordinating Center for ENCODE

ENCODE 数据协调中心

基本信息

批准号：
8724542
负责人：
J. Michael Cherry
金额：
$ 264.81万
依托单位：
STANFORD UNIVERSITY
依托单位国家：
美国
项目类别：
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/8724542
关键词：
Adopted Back Big Data 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

项目摘要

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) 组件的目标是通过定义和建立将所有参与者连接到数据的管道以及创建访问途径来支持 ENCODE 联盟将这些数据分发给更大的生物研究界。 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聚集在一起，以发现染色体元素如何共同发挥作用来定义人类细胞。 DCC 的参与通过创建结构化管道来验证和验证所有提交的数据，并提供描述每个生物样本和测定方法的元数据记录流程，增强了这些实验室创建的数据。为了方便访问之前 ENCODE 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型数据集合，DCC 将构建一个最先进的数据存储库，称为大数据中心。 DCC 将设计和开发新软件，以增强数据提交和处理管道、元数据的组织和访问以及大数据中心。此外，我们将创建 ENCODE 门户，该门户将成为大量实验确定的信息以及计算分析结果的主要入口点。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提供它们。将使用工具来帮助经验丰富的生物信息学家和初级实验室工作人员进行发现。 DCC 将发展成为一个重要的服务组织，使生物医学研究能够充分推进 ENCODE 结果。为此，DCC 将通过多种媒体提供文档，包括书面文档、视频教程、网络研讨会和会议演示。 DCC、DAC 和 AWG 将紧密结合在一起创建 EDCAC。