Integrative Bioinformatics Core

综合生物信息学核心

• 批准号: 10685567
• 负责人: Marina Sirota
• 金额: $ 17.52万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-21 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10685567
• 关键词: Basic Science; Bioinformatics; Cells; Clinical; Clinical Data; Clinical Informatics; Clinical Research; Collaborations; Complex; Computational Biology; Computer Analysis; Computer software; Consultations; Cytometry; Data; Data Analyses; Data Science; Data Set; Data Storage and Retrieval; Database and Analysis Portal; Development; Disease; Doctor of Philosophy; Early Diagnosis; Early treatment; Education; Electronic Health Record; Environmental Exposure; Genetic; Genomics; Goals; Image; Immune; Immune system; Immunology; Informatics; Infrastructure; Interest Group; Life Style; Measurement; Measures; Medical History; Modality; Molecular; Molecular Profiling; Pharmacogenomics; Pharmacologic Substance; Process; Research; Research Design; Research Personnel; Resolution; Resources; Retrieval; Rheumatism; Rheumatology; Science; Secure; Services; System; Techniques; Technology; Time; Translational Research; Visualization; Work; cell type; clinical phenotype; community center; computerized tools; data dissemination; data integration; data library; data management; data sharing; disorder prevention; empowerment; experience; feature extraction; individual variation; innovation; multimodality; novel; outreach; precision medicine; programs; research study; single cell sequencing; tool; transcriptomics; translational study; web platform

ABSTRACT Precision medicine is an emerging integrative approach for disease prevention, early detection and treatment that takes into account individual variability in genetics, medical history, environmental exposures, and lifestyle. The development and availability of genomic and other molecular profiling technologies, particularly with recent advances in single-cell profiling, in combination with the deployment of electronic health records (EHR) provide an unprecedented opportunity to apply precision medicine strategies in rheumatic disease research. The goal of the Integrative Bioinformatics (IB) Core is to provide researchers with state-of-the-art computational approaches for the study of rheumatic disorders. Directed by leading experts in computational biology and bioinformatics, the IB Core will provide investigators with assistance in study design; bioinformatics analysis of clinical and bulk- and single-cell omics data; data integration; and data dissemination. To advance rheumatic disease research in the context of precision medicine, the IB Core will work in collaboration with the Genomic Technology (GT) and Clinical Data Informatics (CDI) Cores to provide tools and workflows for the analysis and integration of high quality genomic, molecular and clinical data. With those goals in mind we propose the following aims. In Aim 1, we will provide analytical consulting services in study design, data analysis and data integration with public datasets in order to advance precision medicine in rheumatic disease research. In Aim 2, the IB Core will develop novel tools, software and analytical pipelines for the integration, annotation, analysis, retrieval, and presentation of data from clinical and molecular studies of rheumatic diseases including single-cell sequencing and CyTOF data. As a result of this Aim, we will furthermore establish and maintain a technologically up-to-date toolset that can be readily used for systems-level analyses of the data. Aim 3 is to integrate molecular and clinical data and leverage collaborations between the GT and CDI Cores to facilitate integrative computational analysis for a wide range of clinical, translational and basic research studies to enable precision medicine in rheumatology. Finally, in Aim 4, we will provide centralized internal and external data management and storage including assistance in real-time project development using the UCSF Data Library and in dissemination of data for P30 associated projects using the Immunology Database and Analysis Portal (ImmPort). The IB Core will bring together researchers from different backgrounds and enable investigators whose work can benefit from access to state-of-the-art computational technologies and approaches, with an overall goal of advancing precision medicine in rheumatology.

抽象的 精准医学是一种新兴的疾病预防、早期发现和治疗的综合方法 考虑到遗传、病史、环境暴露和生活方式的个体差异。 基因组和其他分子分析技术的发展和可用性，特别是最近的 单细胞分析的进步与电子健康记录 (EHR) 的部署相结合，提供了 这是在风湿病研究中应用精准医学策略的前所未有的机会。目标 综合生物信息学（IB）核心的目的是为研究人员提供最先进的计算 研究风湿性疾病的方法。由计算生物学领域的顶尖专家指导 生物信息学方面，IB核心将为研究者提供研究设计方面的帮助；生物信息学分析 临床、批量和单细胞组学数据； data integration;和数据传播。促进风湿病 在精准医学背景下的疾病研究中，IB 核心将与基因组合作 技术 (GT) 和临床数据信息学 (CDI) 核心，为分析和分析提供工具和工作流程 整合高质量的基因组、分子和临床数据。考虑到这些目标，我们提出以下建议 目标。在目标1中，我们将提供研究设计、数据分析和数据集成方面的分析咨询服务 利用公共数据集来推进风湿病研究中的精准医学。在目标 2 中，IB 核心 将开发新颖的工具、软件和分析管道，用于集成、注释、分析、检索和 风湿病临床和分子研究数据的呈现，包括单细胞测序 和 CyTOF 数据。作为这一目标的结果，我们将进一步建立和维护一个技术上最新的 可轻松用于系统级数据分析的工具集。目标 3 是将分子和 临床数据并利用 GT 和 CDI 核心之间的协作来促进综合计算 对广泛的临床、转化和基础研究进行分析，以实现精准医疗 风湿病学。最后，在目标4中，我们将提供集中的内部和外部数据管理和存储 包括使用 UCSF 数据库进行实时项目开发和数据传播方面的协助 使用免疫学数据库和分析门户 (ImmPort) 的 P30 相关项目。 IB 核心将 将来自不同背景的研究人员聚集在一起，使研究人员的工作能够受益于 获得最先进的计算技术和方法，总体目标是推进 风湿病学的精准医学。