Bioinformatics Core

生物信息学核心

• 批准号: 8890761
• 负责人: Leonard McMillan
• 金额: $ 34.77万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-01 至 2016-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8890761
• 关键词: Animal Model; Animals; Antiviral Therapy; Bioinformatics; Biological Response Modifiers; Brain; Cells; Collaborations; Communication; Communities; Complex; Data; Data Quality; Data Storage and Retrieval; Databases; Development; Ensure; Fostering; Gene Expression; Gene Proteins; Genes; Genome; Grant; Housing; Human Resources; Immune; Immune response; Immunogenetics; Infection; Instruction; Internet; Laboratories; Link; Management Information Systems; Maps; Modeling; Molecular; Molecular Profiling; Mus; Pathway Analysis; Pathway interactions; Phase; Phenotype; Predisposition; Process; Proteomics; Protocols documentation; Quality Control; Quantitative Trait Loci; RNA; RNA Processing; Reading; Relative (related person); Research; Research Infrastructure; Research Personnel; Research Project Grants; Resources; Sampling; Secure; Spleen; Structure of parenchyma of lung; System; Systems Biology; Untranslated RNA; Vaccines; Validation; Virus Diseases; Work; biodefense; cell type; computer infrastructure; computerized data processing; data management; experience; flexibility; genetic analysis; genetic pedigree; high throughput analysis; improved; information processing; insight; lymph nodes; next generation sequencing; pathogen; programs; research study; tool; trait; validation studies

PROJECT SUMMARY (See instructions): The Bioinformatics Core provides data management, communications systems, statistical analysis, and support for functional interpretation of high-throughput data as part of the systems biology approach to immunogenetics. Existing platforms will be leveraged to develop and maintain a sophisticated laboratory information management system (LIMS) to facilitate the tracking of information, the processing of raw data through computational pipelines, and communication between all U19 investigators. In addition, the Core will support the prioritization of key immune genes and pathways derived from expression quantitative trait loci (eQTL) and QTL analyses. The Specific Aims of the Core are as follows: Aim 1: Develop and maintain a dedicated data management system with a Systems Immunogenetics Web Portal. The Core will define and implement a program-wide data communication plan that ensures the capture of all grant-generated sample information, data, and resources. Public access to grant-generated data, resources, and mouse line infomnation will also be provided through the Web portal. Aim 2; Assist in the development of data processing pipelines that ensure data is high-quality, conforms to technical specifications for modeling, and is accessible to all U19 investigators. In collaboration with the Systems Immunogenetics Core, an existing infrastructure will be leveraged to develop and implement data processing pipelines for all high-throughput profiling data, including quality control protocols for microarray, next-generation sequencing, and proteomics. Aim 3: Provide analytical support for high-throughput data and the computational predictions generated by the Research Projects and Cores. Statistical, computational, and functional analysis support will be provided for the interpretation of data and results. In addition, the Core will provide analysis of next-generation sequencing data, including in-depth analysis of noncoding RNAs, and processing and interpretation of targeted proteomics studies allowing for a systems level view of key immune genes and pathways across a select set of mouse lines.

项目摘要（参见说明）： 生物信息学核心提供数据管理、通信系统、统计分析以及对高通量数据的功能解释的支持，作为免疫遗传学系统生物学方法的一部分。将利用现有平台开发和维护复杂的实验室信息管理系统（LIMS），以促进信息跟踪、通过计算管道处理原始数据以及所有 U19 研究人员之间的沟通。此外，该核心还将支持对源自表达数量性状位点 (eQTL) 和 QTL 分析的关键免疫基因和途径进行优先排序。核心的具体目标如下： 目标 1：开发和维护带有系统免疫遗传学门户网站的专用数据管理系统。核心将定义并实施一个项目范围的数据通信计划，以确保捕获所有资助生成的样本信息、数据和资源。还将通过门户网站向公众提供对拨款生成的数据、资源和鼠标线信息的访问。目标2；协助开发数据处理管道，确保数据高质量、符合建模技术规范，并且可供所有 U19 研究人员访问。与系统免疫遗传学核心合作，将利用现有基础设施来开发和实施所有高通量分析数据的数据处理流程，包括微阵列、下一代测序和蛋白质组学的质量控制协议。 目标 3：为研究项目和核心生成的高通量数据和计算预测提供分析支持。将为数据和结果的解释提供统计、计算和功能分析支持。此外，该核心还将提供下一代测序数据的分析，包括对非编码RNA的深入分析，以及对目标蛋白质组学研究的处理和解释，从而能够在系统水平上了解一组选定小鼠的关键免疫基因和通路。线。