Bioinformatics and Modeling Core

生物信息学和建模核心

基本信息

批准号：
10704365
负责人：
Matthew Tyson Weirauch
金额：
$ 16.05万
依托单位：
CINCINNATI CHILDRENS HOSP MED CTR
依托单位国家：
美国
项目类别：
财政年份：
2016
资助国家：
美国
起止时间：
2016-08-01 至 2028-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10704365
关键词：
ATAC-seq Address Affect Allergic Disease American Autoimmune Binding Bioinformatics Biological Assay Biomedical Research Blood Cells ChIP-seq Chromatin Chromatin Loop Code Collaborations Communities Complex Computational Technique Computer software Consult DNA Data Data Analyses Data Analytics Data Collection Data Set Data Storage and Retrieval Databases Deposition Disease Emerging Technologies Epigenetic Process Experimental Designs Flow Cytometry Functional disorder Gene Expression Gene Expression Regulation Genetic Genomics Genotype Goals Immunologist Immunophenotyping Inflammatory Informatics Institution Knowledge Longitudinal Studies Measures Medical Medical center Metadata Methodology Methods Modeling Modernization Molecular Molecular Disease Nucleic Acid Binding Pediatric Hospitals Phenotype Prevention strategy Process Proteins Proteomics Publishing Quality Control RNA RNA Sequences RNA-Binding Proteins Records Reproducibility Research Research Personnel Research Support Resources Rheumatism Sampling Services System Therapeutic Tissue Banks Tissue Sample Tissue-Specific Gene Expression United States National Institutes of Health Universities analysis pipeline base bioinformatics pipeline computerized tools crosslinking and immunoprecipitation sequencing data centers data integration data management data repository deep learning design diagnostic strategy experience experimental study functional genomics genetic variant genome sequencing genomic data high dimensionality innovation insight large datasets member metadata standards multidimensional data novel polygenic risk score public database single-cell RNA sequencing tool transcription factor transcriptome sequencing transcriptomics variant of interest virtual whole genome wiki

项目摘要

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.

项目摘要/摘要 – 生物信息学和建模 (BAM) 核心然而，风湿病对数百万美国人的生活产生了不利影响。对分子疾病机制的详细了解改变了医疗管理，生物信息学和建模的治疗方法、诊断和预防策略的进展。这些方法已经并将继续等同于揭示风湿性疾病的机制。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、建模和传播大型数据集以了解炎症和风湿性疾病。为此，BAM Core 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疗中心和辛辛那提大学研究社区，以及其他机构的合作者将实施创新的基因组学和免疫表型数据管理和分析策略来询问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，创新工具将被集成、自动化、应用并提供给更大的研究界。以下具体目标将由 BAM 核心与研究基地研究人员和功能基因组学、综合细胞表型分析和组织存储库核心：目标 1. 为功能基因组实验提供分析专业知识和信息支持。目标 2. 支持功能基因组实验的基因型依赖性分析。目标 3. 分析高维流式细胞术数据。目标 4. 促进遗传、基因组和蛋白质组数据的组织和存储。