Data Management, Analysis and Resources Dissemination Core (DMARD)

数据管理、分析和资源传播核心 (DMARD)

• 批准号: 8711786
• 负责人: Granger Gideon Sutton
• 金额: $ 40.96万
• 依托单位: J. CRAIG VENTER INSTITUTE, INC.
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8711786
• 关键词: Archives; Bioinformatics; Biotechnology; Clinical Data; Communicable Diseases; Communities; Computer software; Data; Data Analyses; Data Quality; Deposition; Funding; Galaxy; Genbank; Generations; Genome; Genomics; Guidelines; Infection; Informatics; Institutes; Laboratories; Management Information Systems; Metadata; National Institute of Allergy and Infectious Disease; Ontology; Process; Program Research Project Grants; Protocols documentation; Public Domains; Publications; Reading; Reagent; Research; Research Infrastructure; Research Personnel; Research Project Grants; Resource Sharing; Resources; Sampling; Scientist; Services; Single Nucleotide Polymorphism; Statistical Methods; System; Technology; Training Programs; United States National Institutes of Health; Validation; Work; base; biodefense; computerized data processing; cost effective; data integration; data management; data sharing; genome sequencing; high throughput analysis; microbial; open source; programs; repository; success; tool; virtual; web interface; web site

The Data Management, Analysis and Resources Dissemination Core (DMARD) will support all four Research Projects and the Technology Core by providing rapid, accurate and cost-effective data management, high throughput analysis and resource sharing and dissemination according to the Resource Sharing Plan. DMARD Core functions will be divided into three primary responsibilities; resource sharing, comprehensive data management and infrastructure to support high throughput analysis. Our GCID Program will rapidly release, pre-publication genomic and other data including metadata as detailed in the Resource Sharing Plan. Raw genome sequence will be submitted as rapidly as possible not exceeding 45 days from generation and data quality check to either the Trace Archive or, as appropriate, to the Short Read Archive at NCBI/NLM/NIH. Full and partial genome assemblies will be deposited in GenBank at NCBl after verification, no later than 45 days of being generated, followed by release to other web sites, as approved by NIAID. Single nucleotide polymorphisms (SNP) generated as part of the project, will be submitted as rapidly as possible to NCBl dbSNP and not later than 45 days from validation. Clinical data and other metadata will be deposited to the appropriate NIAID funded Bioinformatics Resource Centers or other public resources as appropriate. Metadata formats developed through the NIAID GSC-BRC collaborative efforts will be employed. Microbial strains employed in the JCVI GCID will be deposited to the NIAID BEI (Biodefense & Emerging Infections Research Resources Repository) or other approved public repositories. Informatics tools developed within the Program for processing or analyzing the data generated in the course of performing the Program's Research Projects will be placed in the public domain via SourceForge as open source. The DMARD will provide comprehensive data management for tracking metadata, samples, reagents, and data. The DMARD will work with Technology Core to provide Galaxy and Kepler based modular infrastructure for integrative analysis and interpretation. The DMARD will work with the Technology Core to provide ready to use tools and pipelines to the research community.

数据管理、分析和资源传播核心(DMARD)将支持所有四个 研究项目和技术核心，提供快速、准确和具有成本效益的数据 根据资源进行管理、高通量分析和资源共享与分发 共享计划。DMARD的核心职能将分为三个主要职责：资源共享、 全面的数据管理和基础设施，以支持高吞吐量分析。我们的GCID 计划将迅速发布、出版前的基因组和其他数据，包括元数据，详见 资源共享计划。将尽快提交原始基因组序列，不超过45 从生成和数据质量检查到跟踪归档的天数，或根据需要缩短到 阅读NCBI/NLM/NIH上的档案。全部和部分基因组组合将保存在NCB1的GenBank中 经核实后，不迟于45天生成，然后发布到其他网站，如 由NIAID批准。作为项目的一部分产生的单核苷酸多态(SNP)将被 尽快提交给NCB1数据库SNP，并且不迟于验证后45天。临床资料 和其他元数据将存放到适当的NIAID资助的生物信息学资源中心或 其他适当的公共资源。通过NIAID GSC-BRC开发的元数据格式 将采取合作努力。JCVI GCID中使用的微生物菌株将存放到 NIAID BEI(生物防御和新发传染病研究资源库)或其他经批准的公共机构 储存库。在程序中开发的信息学工具，用于处理或分析生成的数据 在执行计划的研究项目过程中，将通过以下方式将其置于公共领域 SourceForge作为开源。DMARD将为跟踪提供全面的数据管理 元数据、样本、试剂和数据。DMARD将与Technology Core合作，为Galaxy和 基于开普勒的模块化基础设施，用于综合分析和解释。DMARD将与 技术核心向研究社区提供随时可用的工具和管道。