课题基金 / 基金详情

项目摘要

项目成果

Marina Sirota的其他基金

相似基金

相关文献

中文摘要
翻译
项目摘要/摘要-综合生物信息学核心 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 这考虑了个体在遗传、病史、环境暴露和生活方式方面的差异。 基因组和其他分子图谱技术的发展和可用性与 电子健康记录(EHR)的部署为应用精确度提供了前所未有的机会 风湿病研究中的医学策略。综合生物信息学(IB)核心的总体目标 是为研究人员提供研究风湿病的最先进的计算方法 精神错乱。在计算生物学和生物信息学的领先专家的指导下,IB Core将提供 协助研究人员进行研究设计、生物信息学数据分析、数据整合和数据 传播。为了在精准医学的背景下推进风湿病研究,IB核心将 为中心社区提供项目咨询、教育和推广,以及分析和 整合高质量的基因组学、分子和临床数据。与基因组学和 分子资源(GMR)和人类受试者和临床表型(HSCP)核心,IB核心将 协助研究人员进行生物信息学分析,以推进风湿病的精准医学。有了那些 牢记目标,我们提出以下目标。在目标1,我们将提供研究中的分析咨询服务 设计、数据分析和与公共数据集的数据集成,以推进精准医学在 风湿病研究。在目标2中,IB核心将开发新的工具、软件和分析管道 用于临床和分子研究数据的集成、注释、分析、检索和呈现 风湿性疾病。由于这个目标,我们将进一步建立和维持一个技术上的领先- 可随时用于系统级数据分析的最新工具集。目标3是整合分子 和临床数据,并利用GMR和HSCP核心之间的协作,促进 对广泛的临床、翻译和基础研究进行计算分析,以实现精确度 风湿病医学。最后,在目标4中,我们将提供集中的数据管理和存储 包括利用免疫学数据库协助传播P30相关项目的数据 分析门户(ImmPort)。IB核心将来自不同背景的研究人员聚集在一起,并使 调查人员的工作可以受益于接触最先进的计算技术和 方法,总的目标是推进风湿病的精准医学。
英文摘要
PROJECT SUMMARY/ABSTRACT – Integrative Bioinformatics Core 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 in combination with the deployment of electronic health records (EHR) provide an unprecedented opportunity to apply precision medicine strategies in rheumatic disease research. The overall goal of the Integrative Bioinformatics (IB) Core is to provide researchers with access to 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 data analysis, data integration and data dissemination. To advance rheumatic disease research in the context of precision medicine, the IB Core will provide project consultation, education, and outreach for the Center community, as well as the analysis and integration of high quality genomics, molecular and clinical data. In collaboration with the Genomics and Molecular Resources (GMR) and Human Subjects and Clinical Phenotyping (HSCP) Cores, the IB Core will assist researchers with bioinformatics analysis to advance precision medicine in rheumatology. 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. 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 GMR and HSCP Cores and 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 data management and storage including assistance 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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Leveraging Omics-Based Computational Approaches to Identify and Validate Novel Therapeutic Candidates for Endometriosis
Leveraging Omics-Based Computational Approaches to Identify and Validate Novel Therapeutic Candidates for Endometriosis
Leveraging Omics-Based Computational Approaches to Identify and Validate Novel Therapeutic Candidates for Endometriosis
An Integrative Multi-Omics Approach to Elucidate Sex-Specific Differences in Alzheimers Disease
海外基金