BIONFORMATICS & BIOSTATISTICS CORE

在这次竞争性更新中，生物信息学和生物统计核心重申其承诺，将提供 取得成功所需的计算/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的成果 基因表达和蛋白质丰度图谱，以提供对分子的更详细了解 参与宿主对病毒感染的反应的机制。通过将具有专业知识的研究人员聚集在一起 在病毒学、生物信息学、免疫学、生物统计学、临床医学和质量等不同领域 光谱学，我们研究艾滋病和丙型肝炎等病毒疾病的多学科方法允许 跨这些领域的交流和信息集成，以提供新的或改进的方法 这些疾病的治疗方法。而其他核负责生成协作 这将产生一套独特的生物样本，并解决围绕新技术的问题 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支持 这些努力的成功，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 支持和平台集成不同类型的数据。2)提供机制，以便 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 研究计划的开始，并在实验室实验完成后很长一段时间内继续进行。 在优化样本总体、样本大小和样本方面，生物统计学是我们使命的关键 从实验和统计中获得最大效率和意义的技术 对结果数据进行分析。生物信息学为存储提供计算机基础设施和数据库 负责定制分析、数据集成和软件 训练。这些广泛的努力不可避免地将生物信息学和生物统计学的核心与整体联系在一起 其他核心在NIDA中心的成功，并强调了我们在这些研究工作中的重要性。

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.