Bioinformatics Core

生物信息学核心

• 批准号: 9041504
• 负责人: Purveshkumar Khatri
• 金额: $ 9.79万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-30 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9041504
• 关键词: Address; Bioinformatics; Biological; Clinical; Cohort Analysis; Collaborations; Computer Simulation; Data; Data Analyses; Data Set; Databases; Dependency; Disease; Elements; Funding; Gene Expression; Gene Expression Profiling; Genomics; Goals; Human; Immune; Immunologic Monitoring; Individual; Infection; Influenza vaccination; Informatics; Instruction; Internet; Lead; Measures; Medicine; Memory; Methods; Modality; National Institute of Allergy and Infectious Disease; Natural Immunity; Pathway interactions; Publishing; Techniques; Testing; Universities; Vaccination; Validation; Work; adaptive immunity; cohort; differential expression; improved; phenotypic data; professor; repository; tool; transcription factor

The overall goal of the Bioinformatics Core is to use advanced bioinformatics tools for identification and improved understanding of the innate and adaptive immune response in vaccination and diseases. The Bioinformatics Core will utilize existing informatics platforms, and adapt them as needed, to achieve these goals. The goals of the Bioinformatics Core will (1) provide robust bioinformatics methods to analyze the data generated by Projects 1, 2 and 3, (2) serve data to the Projects for hypothesis testing, and (3) publish the data for public availability in repositories including the NIAID-funded ImmPort, and the NCBI Gene Expression Omnibus (GEO). The Bioinformatics Core will directly work with all Projects to address their need for robust bioinformatics techniques. The Bioinformatics Core will create a central repository of the genomic and immune profiling data, generated by all Projects, and integrate with genomic and immune profiling data from public repositories, to enable multi-cohort integrated analysis. Furthermore, the Bioinformatics Core will work closely with the Genomics Core and the Human Immune Monitoring Center (HIMC) for this purpose. This will enable participating Projects to maximally utilize the genomic, immune monitoring and clinical phenotypic data sets to determine functional dependencies among the measured elements and to direct further biological validation of these putative dependencies.

生物信息学核心的总体目标是使用先进的生物信息学工具进行识别和 提高对疫苗接种和疾病中先天性和适应性免疫反应的了解。这 生物信息学核心将利用现有的信息学平台，并根据需要进行调整，以实现这些目标 目标。生物信息学核心的目标将（1）提供强大的生物信息学方法来分析 项目 1、2 和 3 生成的数据，(2) 将数据提供给项目进行假设检验，以及 (3) 发布 存储库中公开可用的数据，包括 NIAID 资助的 ImmPort 和 NCBI Gene 表达综合（GEO）。 生物信息学核心将直接与所有项目合作，以满足他们对强大生物信息学的需求 技术。生物信息学核心将创建基因组和免疫分析的中央存储库 数据由所有项目生成，并与公共基因组和免疫分析数据集成 存储库，以实现多队列集成分析。此外，生物信息学核心将发挥作用 为此，我们与基因组学核心和人类免疫监测中心 (HIMC) 密切合作。这将 使参与项目能够最大限度地利用基因组、免疫监测和临床表型 数据集，以确定测量元素之间的功能依赖性并进一步指导 这些假定的依赖性的生物学验证。