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通过提供快速，准确和成本效益的数据 管理，高吞吐量分析以及资源共享和传播根据资源 共享计划。 DMARD CORE功能将分为三个主要职责；资源共享， 全面的数据管理和基础架构，以支持高吞吐量分析。我们的gcid 程序将迅速释放，出版前的基因组和其他数据，包括元数据，如 资源共享计划。原始基因组序列将尽快提交不超过45 从生成和数据质量检查到跟踪存档或适当的痕迹 在NCBI/NLM/NIH上阅读档案。全基因组组件将沉积在NCBL的GenBank 经过验证后，生成的不迟于45天，然后发布到其他网站，如 由Niaid批准。作为项目一部分产生的单核苷酸多态性（SNP）将为 尽可能迅速地提交给NCBL DBSNP，不迟于验证后的45天。临床数据 其他元数据将存入适当的NIAID资助的生物信息学资源中心或 其他公共资源适当。通过NIAID GSC-BRC开发的元数据格式 将采取协作努力。 JCVI GCID中使用的微生物菌株将沉积到 NIAID BEI（生物充足和新兴感染研究资源存储库）或其他批准的公众 存储库。程序中开发的信息学工具用于处理或分析生成的数据 在执行该计划的研究项目的过程中，将通过 SourceForge作为开源。 DMARD将为跟踪提供全面的数据管理 元数据，样品，试剂和数据。 DMARD将与技术核心一起提供银河系和 基于开普勒的模块化基础架构，用于集成分析和解释。 dmard将与 技术核心可以为研究社区提供准备使用工具和管道。