Integrative Bioinformatics Core

综合生物信息学核心

• 批准号: 10469678
• 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/10469678
• 关键词: Basic Science; Bioinformatics; Cells; Clinical; Clinical Data; Clinical Informatics; Clinical Research; Collaborations; Complex; Computational Biology; Computer Analysis; Computer software; Consult; Consultations; Cytometry; Data; Data Analyses; Data Science; Data Set; Data Storage and Retrieval; Database and Analysis Portal; Development; Doctor of Philosophy; Early Diagnosis; Early treatment; Education and Outreach; Electronic Health Record; Environmental Exposure; Genetic; Genomics; Goals; Image; Immune; Immune system; Immunology; Informatics; Infrastructure; Life Style; Measurement; Measures; Medical History; Mind; Modality; Molecular; Molecular Profiling; Online Systems; 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; base; cell type; clinical phenotype; community center; computerized tools; data archive; data dissemination; data integration; data management; data sharing; disorder prevention; experience; feature extraction; individual variation; innovation; multimodality; novel; precision medicine; programs; ranpirnase; research study; single cell sequencing; tool; transcriptomics; translational study

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.

摘要 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 它考虑了遗传学、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，结合电子健康记录（EHR）的部署， 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 整合生物信息学（IB）核心的目的是为研究人员提供最先进的计算 风湿性疾病的研究方法。由计算生物学领域的顶尖专家指导， 生物信息学，IB核心将为研究者提供研究设计方面的帮助; 临床和批量和单细胞组学数据;数据整合;和数据传播。促进风湿性关节炎 在精准医学背景下的疾病研究，IB核心将与基因组学合作， 技术（GT）和临床数据信息学（CDI）核心，为分析和 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、数据分析和数据整合方面的分析咨询服务 与公共数据集，以推进风湿病研究中的精准医学。在目标2中，IB核心 将开发新的工具，软件和分析管道的整合，注释，分析，检索， 介绍风湿性疾病的临床和分子研究数据，包括单细胞测序 和CyTOF数据。由于这一目标，我们将进一步建立和保持一个技术上最新的 工具集，可随时用于系统级的数据分析。目标3是整合分子和 临床数据，并利用GT和CDI核心之间的合作， 分析广泛的临床，转化和基础研究研究，使精准医学， 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数据库和数据传播的实时项目开发援助 使用免疫学数据库和分析门户（ImmPort）进行P30相关项目。IB核心将 汇集来自不同背景的研究人员，使研究人员的工作可以受益于 获得最先进的计算技术和方法，总体目标是 风湿病学的精准医学