Joint Bioinformatics and Computational Core of the MARC

MARC 联合生物信息学和计算核心

基本信息

批准号：
10254254
负责人：
GARY S FIRESTEIN
金额：
$ 16.44万
依托单位：
UNIVERSITY OF CALIFORNIA, SAN DIEGO
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-01 至 2023-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10254254
关键词：
ATAC-seq Acetylation Affect Arthritis Bioinformatics Biological Biological Assay Biology California Chromatin Clinical Clinical Investigator Collaborations Complex Complex Analysis Computational Science Computer Analysis Computing Methodologies Consult Consultations Consumption DNA Methylation Data Data Analyses Data Science Data Set Development Disease Embryo Environmental Risk Factor Epigenetic Process Fibroblasts Future Gene Expression Genes Genetic Genome Genomics Goals Histones Image Inflammation Institution Joints Malignant Neoplasms Methodology Methods MicroRNAs Network-based Nucleic Acid Regulatory Sequences Pathogenesis Pathogenicity Pathway Analysis Pathway interactions Play Predisposition Research Research Design Research Personnel Resources Rheumatism Rheumatoid Arthritis Rheumatology Science Services Severity of illness Systems Biology Technology Time Tissues Universities Validation Work algorithmic methodologies analytical tool base biomarker signature biomarker validation bisulfite sequencing clinical phenotype complex data computerized tools design epigenomics gene interaction genome sequencing genome-wide genome-wide analysis insight multidimensional data multiple omics novel power analysis science teacher skills structured data tool transcription factor transcriptome transcriptome sequencing transcriptomics whole genome

项目摘要

JOINT BIOINFORMATICS AND COMPUTATIONAL CORE ABSTRACT The Joint Bioinformatics and Computational Core (JBC) will provide unique computational tools and analysis that enables integration of complex multi-dimensional datasets related to arthritis and the microenvironment. Most academic institutions provide standard analytic assistance with `omics data, such as RNA-seq. However, future studies will require much more computational power to combine many data types, including genomics, epigenomics, imaging and clinical information. The Core has unique expertise that leverages the biologic insights and the computational skills of the co-directors to provide insights into disease pathogenesis. This will be accomplished by 1) providing consultation and design assistance so that investigators can generate high quality and interpretable data; 2) using UCSD-developed algorithms and computational methods that integrate multi-dimensional datasets derived from diverse technologies; and 3) using systems biology to provide deeper understanding of disease pathogenesis through the development genomic networks. The services will allow MARC investigators to maximize the value of their research through unbiased data analysis and identification of non-obvious targets for biologic validation.

联合生物信息学和计算核心摘要联合生物信息学和计算核心（JBC）将提供独特的计算工具和分析它能够集成与关节炎和微环境相关的复杂多维数据集。大多数学术机构都提供“组学数据”的标准分析帮助，例如 RNA-seq。然而，未来的研究将需要更多的计算能力来结合许多数据类型，包括基因组学、表观基因组学、影像学和临床信息。核心拥有利用生物技术的独特专业知识联合主任的见解和计算技能可以提供对疾病发病机制的见解。这将可以通过以下方式完成：1）提供咨询和设计帮助，以便研究人员能够产生高质量和可解释的数据； 2）使用UCSD开发的算法和计算方法来集成来自不同技术的多维数据集； 3）利用系统生物学提供更深入的通过发展基因组网络了解疾病发病机制。这些服务将允许 MARC 研究人员通过公正的数据分析和识别来最大化其研究价值生物验证的非明显目标。