Quantitative Analysis Core

定量分析核心

• 批准号: 8751104
• 负责人: Courtney Montgomery
• 金额: $ 40.06万
• 依托单位: OKLAHOMA MEDICAL RESEARCH FOUNDATION
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-05 至 2019-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8751104
• 关键词: Administrator; Area; Arts; Autoimmunity; Biological; Centers of Research Excellence; Complex; Data; Data Analyses; Discipline; Experimental Designs; Faculty; Funding; Genetic; Genomics; Human Resources; Knowledge; Methodology; Methods; Molecular; Phase; Process; Research; Research Design; Research Personnel; Resources; Techniques; Training; cost; cost effective; data modeling; experience; meetings; method development; novel; tool

The analysis of biological data is an acfive area of research that confinually undergoes substanfial changes. It is important that new methodologies are appropriately evaluated so that the best available methods and approaches can be applied to data! This requires the knowledge and experience of skilled biostafisficians, bioinformaficians, stafisfical geneficists and data administrators. The Quanfitative Analysis Core (QAC) will ' provide such a team with a proven collaborative research record. The OAC will promote and facilitate the research undertaken by both COBRE and non-COBRE invesfigators alike by providing state ofthe art analysis and high-level informafics capabilifies and method development and assessment. By centralizing our vast technological resources as well as the diverse and complimentary expertise of the QAC faculty and staff we offer unique training and collaborative opportunifies to a variety of invesfigators. Specifically, we will 1) provide a cost-effective state-of-the-art computational and methodological resource, 2) offer experienced analysts and senior-level biostafistical and bioinformafics expertise to manage, conduct and interpret analyses, and 3) develop, modify and/or apply novel statisfical analysis methods to the appropriate hypotheses particulariy those including high-dimensional, large-scale data.

生物数据分析是一个活跃的研究领域，它不断经历着重大的变化。