BIONFORMATICS & BIOSTATISTICS CORE

生物信息学

• 批准号: 7285805
• 负责人: Scott S Emerson
• 金额: $ 29.65万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-06-01 至 2012-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7285805
• 关键词: Acquired Immunodeficiency Syndrome; Address; Arts; Back; Bioinformatics; Biological; Biometry; Biostatistics Core; Clinical Data; Clinical Medicine; Collaborations; Communication; Communities; Complex; Computer Hardware; Computer software; Computers; Custom; Data; Data Analyses; Databases; Development; Disease; Ensure; Experimental Designs; Figs - dietary; Gene Expression; Genomics; Health; Hepatitis C virus; Immune response; Immunology; Individual; Laboratories; Lead; Mass Spectrum Analysis; Methodology; Methods; Microarray Analysis; Mind; Mission; Modeling; Molecular; National Institute of Drug Abuse; Population; Problem Solving; Process; Proteins; Proteomics; Range; Research; Research Infrastructure; Research Personnel; Role; Sample Size; Sampling; Software Tools; Source; Staging; Standards of Weights and Measures; Statistical Computing; System; Techniques; Technology; Training; Universities; Vendor; Virus Diseases; Washington; Work; computerized data processing; cost; data integration; data management; design; expectation; functional genomics; improved; interdisciplinary approach; new technology; novel; open source; programs; research study; software development; success; tool; virology

In this competitive renewal, the Bioinformatics & Biostatistics Core reasserts its commitment to providing the computational/bioinformatics infrastructure and analytical techniques necessary for the success of the University of Washington NIDA Center. The unifying theme of the Center is to integrate results from global gene expression and protein abundance profiles to provide a more detailed understanding of the molecular mechanisms involved in the host response to viral infection. By bringing together researchers with expertise in such varied fields as virology, bioinformatics, immunology, biostatistics, clinical medicine, and mass spectrometry, our multidisciplinary approach to studying viral diseases such as AIDS and HCV allows for communication across these fields and integration of information to provide novel or improved methods toward treatment of these diseases. While the other Cores are responsible for generating the collaborations that will lead to unique sets of biological samples and solving the problems surrounding newer technologies such as proteomics, the Bioinformatics & Biostatistics Core provides the necessary functions underpinning the success of these efforts such as data management, computational infrastructure, statistical experimental design and analysis, and data dissemination. The Specific Aims of the Core are to: 1) Provide data analysis support and platforms for the integration of disparate types of data. 2) Provide mechanisms for the dissemination of raw data and processed results to the research community. 3) Provide statistical expertise and application training for optimized experimental design and data analysis. Our role often begins at the inception of a research program and continues long after the laboratory experiments have been completed. Biostatistics is key to our mission in terms of optimizing sample population, sample size, and sampling technique for the greatest efficiency and significance to be garnered from experiments as well as statistical analysis of the resulting data. Bioinformatics provides the computer infrastructure and databases for storage and dissemination of our results and is responsible for custom analysis, data integration, and software training. These wide-ranging efforts inextricably tie the Bioinformatics & Biostatistics Core to the overall success of the other Cores with in the NIDA Center and underscore our importance in these research efforts.

在这次竞争更新中，生物信息学和生物统计学核心重申其致力于提供 成功所需的计算/生物信息学基础设施和分析技术 华盛顿大学 NIDA 中心。该中心的统一主题是整合全球成果 基因表达和蛋白质丰度概况，以提供对分子的更详细的了解 涉及宿主对病毒感染的反应的机制。通过汇集具有专业知识的研究人员 在病毒学、生物信息学、免疫学、生物统计学、临床医学和大众学等不同领域 光谱测定法是我们研究艾滋病和丙型肝炎等病毒性疾病的多学科方法 跨这些领域的交流和信息整合以提供新颖或改进的方法 致力于治疗这些疾病。而其他核心则负责产生协作 这将产生独特的生物样本组并解决围绕新技术的问题 例如蛋白质组学，生物信息学和生物统计学核心提供了必要的功能基础 这些努力的成功，例如数据管理、计算基础设施、统计实验 设计和分析以及数据传播。核心的具体目标是： 1）提供数据分析 用于集成不同类型数据的支持和平台。 2) 提供机制 向研究界传播原始数据和处理结果。 3）提供统计专业知识 以及优化实验设计和数据分析的应用培训。我们的角色通常始于 研究计划的启动，并在实验室实验完成后持续很长时间。 生物统计学是我们在优化样本总体、样本大小和抽样方面的使命的关键 从实验和统计中获得最大效率和意义的技术 分析结果数据。生物信息学提供计算机基础设施和存储数据库 和传播我们的结果，并负责定制分析、数据集成和软件 训练。这些广泛的努力将生物信息学和生物统计学核心与整体紧密联系在一起 NIDA 中心其他核心的成功，强调了我们在这些研究工作中的重要性。