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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.

联合生物信息学与计算核心摘要