Biostatistics and Genetic Analysis Core

生物统计学和遗传分析核心

• 批准号: 9562099
• 负责人: Xiaoyi Raymond Gao
• 金额: $ 13.72万
• 依托单位: UNIVERSITY OF ILLINOIS AT CHICAGO
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9562099
• 关键词: Biometry; Biostatistics Core; Computer software; Consult; Consultations; Core Grant; Data; Data Analyses; Equipment; Evaluation; Eye diseases; Genes; Genetic; Genomics; Goals; Molecular Biology; Population Study; Proteomics; Research; Research Design; Research Personnel; Resource Sharing; Variant; Vision research; cost effective; genetic analysis; genomic data; ranpirnase; tool; treatment response

PROJECT SUMMARY: BIOSTATISTICS AND GENETIC ANALYSIS CORE The Biostatistics and Genetic Analysis Core responds to the growing needs of investigators to analyze an escalated volume of data and facilitate genomic research by systemic evaluation of gene variations in population studies. It supports investigators in two aspects related to research data, namely, standard biostatistical analysis and genetic/genomic data analysis. The Biostatistics and Genetic Analysis Core serves to enhance research capabilities of investigators by providing shared resources and centralized equipment in a cost-effective fashion. The goals are to provide: 1) consultation and assistance in biostatistical and genetic/genomic analyses of research data, 2) assistance in the use of software for biostatistical or genetic/genomic analyses and make the latest analysis tools available, 3) cutting-edge computing facilities, advanced software, expertise and assistance in genetic data analysis, and 4) assistance in integrating genomic, proteomic, and molecular biology data for studying the mechanisms of onset and progression of eye diseases, and responses to treatments.

项目总结：生物统计学和遗传分析核心 生物统计学和遗传分析核心响应调查人员日益增长的需求，以分析 增加数据量，并通过系统评估基因变异促进基因组研究， 人口研究。它在与研究数据相关的两个方面为研究者提供支持，即标准 生物统计分析和遗传/基因组数据分析。生物统计学和遗传分析核心服务于 通过提供共享资源和集中设备，提高调查人员的研究能力， 成本效益的时尚。其目标是提供：1）生物统计方面的咨询和援助， 研究数据的遗传/基因组分析，2）协助使用生物统计软件或 基因/基因组分析，并提供最新的分析工具，3）尖端的计算设施， 先进的软件、专业知识和遗传数据分析方面的协助，以及4）协助整合 用于研究眼疾病发病和进展机制的基因组、蛋白质组和分子生物学数据 疾病和对治疗的反应。