Bioinformatics Core

生物信息学核心

• 批准号: 10656179
• 负责人: Purveshkumar Khatri
• 金额: $ 16.92万
• 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 2024-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10656179
• 关键词: Address; Bioinformatics; Biological; Cohort Analysis; Collaborations; Data; Data Set; Dependence; Disease; Elements; Funding; Gene Expression; Gene Expression Profiling; Genomics; Goals; Human; Immune; Immunologic Monitoring; Individual; Infection; Influenza; Influenza vaccination; Informatics; Innate Immune Response; Internet; Measures; Medicine; Methods; National Institute of Allergy and Infectious Disease; Organoids; Pathway interactions; Publishing; Statistical Data Interpretation; Techniques; Testing; Tonsil; Universities; Vaccination; Validation; Work; adaptive immune response; analysis pipeline; bioinformatics tool; clinical phenotype; cohort; computational platform; data integration; differential expression; improved; influenza infection; multimodality; professor; public repository; repository; response; transcription factor

PROJECT SUMMARY 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 influenza infection and vaccination and compare with other 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, and (2) analyze data from public repositories including the NIAID-funded ImmPort and the NCBI Gene Expression Omnibus for the Projects for hypothesis testing. The Bioinformatics Core will directly work with all Projects to address their need for robust bioinformatics techniques. The Bioinformatics Core will integrate the immune profiling data generated by all Projects with those available from public repositories, to enable multi-cohort integrated analysis. The Bioinformatics Core will work closely with 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.

项目摘要 生物信息学核心的总体目标是使用高级生物信息学工具来识别和改进 了解流感感染和疫苗接种中的先天和适应性免疫反应并进行比较 与其他疾病。生物信息学核心将利用现有的信息学平台，并将其调整为 需要，以实现这些目标。生物信息学核心的目标将（1）提供强大的生物信息学 分析项目1、2和3和（2）分析来自公共存储库的数据的方法 包括NIAID资助的Inmport和NCBI基因表达综合假设项目 测试。 生物信息学核心将直接与所有项目合作，以满足其对强大生物信息学的需求 技术。生物信息学核心将将所有项目生成的免疫分析数据集成 可从公共存储库中获得，以启用多核心集成分析。生物信息学核心将起作用 为此，与人类免疫监测中心（HIMC）紧密联系。这将使参与项目 为了最大程度地利用基因组，免​​疫监测和临床表型数据集以确定功能 测得的元素之间的依赖项，并指导对这些推定的进一步的生物学验证 依赖性。