Microarray Center for Research on the Nervous System

神经系统微阵列研究中心

• 批准号: 7284229
• 负责人: Dietrich A Stephan
• 金额: $ 162.05万
• 依托单位: TRANSLATIONAL GENOMICS RESEARCH INST
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-01 至 2010-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7284229
• 关键词: Authorship; Back; Bioinformatics; Businesses; Charge; Data; Data Analyses; Data Files; Databases; Development; Education; Ensure; Environment; Equilibrium; Experimental Designs; Extramural Activities; Funding; Generations; Genomics; Genotype; Goals; Grant; Housing; Institution; Intellectual Property; Internet; Logistics; Methods; Molecular Profiling; Monitor; National Institute of Mental Health; Nervous system structure; Neurosciences; Online Systems; Operative Surgical Procedures; Personal Satisfaction; Policies; Price; Process; Protocols documentation; Public Policy; Publications; Qualifying; Quality Control; Range; Research; Research Infrastructure; Research Institute; Research Personnel; Review Committee; Rights; Role; Sampling; Schedule; Scientist; Services; Site; Structure; Supercomputing; Techniques; Technology; Time; Training; Translations; United States National Institutes of Health; Universities; Work; base; cost; experience; programs; research and development; research study; success; technology development; tool

DESCRIPTION (provided by applicant): The Translational Genomics Research Institute (TGen), a current NINDS NIMH Microarray Consortium center, offers this renewal application. The highest quality assistance with experimental design, data generation, data interpretation, and data dissemination will be provided. TGen already fulfills these functions for NINDS and NIMH extramural investigators/consortia, and has well-established protocols, web site and data repository, and bioinformatic methods which permit a high degree of throughput at low cost. The TGen center team are uniquely qualified because we have amassed significant expertise through 1) having performed this identical function as a consortium site for the past two years, 2) becoming a "Center of Excellence" for Affymetrix technology, 3) development of the consortium web portal (arrayconsortium.tgen.org) for tutorials, transparent work-flow management and progress monitoring, role dependent information access, and data dissemination, 4) ensuring MIAME compliant data and building the first MAGE-ML translation engine for HIPAA-compliant data sharing, 5) being well-versed in expression technology (Dr. Jeffrey Trent was involved in developing array technologies and the PI working with Affymetrix technology for the past seven years), 6) having performed over 2635 Affymetrix array experiments for the consortium in its first two years and receiving excellent reviews, 7) operation of the TGen center with a business infrastructure, and 8) having Dr. Stephan Chair the consortium for its entire 3 year existence. We propose to continue operating our NINDS NIMH Microarray Center. The proposed structure/function is anchored in experience, except for the R&D portions of the proposal. The goals include: 1) tutorials and project submission via the web, 2) review by an internal review committee with neuroscience experience, 3) standardized pricing for services across the consortium, 4) data generation on Affymetrix stock chips and analysis, 5) data warehousing with 6 month timed release to the public, and 6) technology development.

描述(由申请人提供)： 翻译基因组研究所(TGen)是目前NINDS NIMH微阵列联盟的一个中心，提供这种续订应用。将在实验设计、数据生成、数据解释和数据传播方面提供最高质量的援助。TGen已经为NINDS和NIMH外部调查/联合体履行了这些功能，并拥有完善的协议、网站和数据存储库以及允许以低成本实现高吞吐量的生物信息学方法。TGen中心团队是唯一合格的，因为我们通过以下方式积累了重要的专业知识：1)在过去两年中作为联合体网站执行了这一相同的职能，2)成为Affymetrix技术的“卓越中心”，3)为教程、透明的工作流管理和进度监控、角色相关的信息访问和数据传播开发了联合体门户网站(arrayconortium.tgen.org)，4)确保符合MIAME的数据，并为符合HIPAA的数据共享建立了第一个MAGE-ML翻译引擎，5)精通表达技术(Jeffrey Trent博士在过去七年中参与了阵列技术的开发和PI与Affymetrix技术的合作)，6)在财团的头两年为财团进行了超过2635次Affymetrix阵列实验并获得了极好的评价，7)TGen中心的商业基础设施的运营，以及8)在财团的整个3年生存中由Stephan博士担任主席。我们建议继续运营我们的NINDS NIMH微阵列中心。除建议的研发部分外，建议的结构/功能均以经验为依据。目标包括：1)通过网络提交教程和项目，2)由具有神经科学经验的内部审查委员会审查，3)整个财团服务的标准化定价，4)Affymetrix股票芯片和分析的数据生成，5)6个月定时向公众发布的数据仓库，以及6)技术开发。