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.

生物数据的分析是一个不断发生实质性变化的研究领域。 重要的是，对新方法进行适当的评价，以便最好的现有方法和 方法可以应用于数据!这需要熟练的生物统计学家的知识和经验， 生物信息学家、统计基因学家和数据管理员。量化分析核心（QAC）将 为这样一个团队提供经过验证的合作研究记录。办公室将促进和促进 由COBRE和非COBRE投资者共同进行的研究， 分析和高级信息能力以及方法开发和评估。通过集中 我们丰富的技术资源以及QAC教师的多样化和互补的专业知识， 我们为各种投资者提供独特的培训和合作机会。具体来说，我们将 1)提供具有成本效益的最先进的计算和方法资源，2）提供经验丰富的 分析师和高级生物统计学和生物信息学专业知识，以管理、执行和解释 分析，以及3）开发，修改和/或应用新的化学分析方法，以适当的 假设，特别是那些包括高维、大规模数据的假设。