Bioinformatics and Modeling Core

项目摘要/摘要-生物信息学和建模(BAM)核心 风湿病对数百万美国人的生活造成了不利影响。然而，现代疗法仍然存在。 很大程度上无效。分子疾病机制的详细知识改变了医疗管理， 治疗方法、诊断和预防策略。生物信息学与建模研究进展 无论过去还是将来，研究方法都等同于揭示风湿病的发病机制。 生物信息学和建模(BAM)核心的目标是推动质量控制、分析、 整合、建模和传播大数据集以了解炎症性和风湿性疾病。 为此，BAM核心将继续为P30研究提供独特的计算服务和专业知识 社区、辛辛那提儿童医院医学中心和辛辛那提大学研究社区， 以及其他机构的合作者。BAM核心将实施创新的基因组学和 免疫表型数据管理和分析策略，以询问由用户生成的数据集 辛辛那提风湿病资源中心。公开可用的软件包和新开发的、 创新工具将被整合、自动化、应用并提供给更大的研究界。 以下具体目标将由BAM核心与 研究基地调查人员与功能基因组学、整合细胞表型和组织信息库 核心： 目的1.为功能基因组实验提供分析专业知识和信息支持。 目的2.支持功能基因组实验的基因相关分析。 目的3.分析高维流式细胞仪数据。 目的4.促进遗传、基因组和蛋白质组数据的组织和存储。

Project Summary/Abstract – Bioinformatics and Modeling (BAM) Core Rheumatic diseases adversely affect the lives of millions of Americans. Yet, modern therapies remain largely ineffective. Detailed knowledge of molecular disease mechanisms transforms medical management, therapeutic approaches, diagnostics, and preventive strategies. Advances in bioinformatic and modeling approaches have been, and will continue to be, tantamount to revealing rheumatic disease mechanisms. The goal of the Bioinformatics and Modeling (BAM) Core is to drive the quality control, analysis, integration, modeling, and dissemination of large datasets to understand inflammatory and rheumatic diseases. To this end, the BAM Core will continue to offer unique computational services and expertise to the P30 research community, the Cincinnati Children’s Hospital Medical Center and University of Cincinnati research community, and collaborators at other institutions. The BAM Core will implement innovative genomics and immunophenotyping data management and analytic strategies to interrogate the datasets generated by users of the Cincinnati Rheumatic Disease Resource Center. Publicly available software packages and newly developed, innovative tools will be integrated, automated, applied and made available to the larger research community. The following Specific Aims will be spearheaded by The BAM Core in close collaboration with the Research Base investigators and the Functional Genomics, Integrative Cell Phenotyping, and Tissue Repository Cores: Aim 1. To provide analytic expertise and informatic support for functional genomic experiments. Aim 2. To support genotype-dependent analysis of functional genomic experiments. Aim 3. To analyze high-dimensional flow cytometry data. Aim 4. To facilitate the organization and deposition of genetic, genomic, and proteomic data.