P30 Core Grant for Vision Research

项目摘要-生物信息学和统计学核心 生物信息学和统计学核心的目的是提供生物信息学和统计学支持 用于临床、基因组和实验室研究。各种各样的研究都得到了核心的支持。这 在上一个供资期对核心数据进行了修改，以纳入生物信息学分析， 应国家生物技术委员会的要求，提供基因表达分析（RNAseq和微阵列）的专业知识 investigators.核心资源针对具有合格R 01的调查员，但也 被其他研究人员使用，对年轻的研究人员特别有价值， 开始新的研究项目，否则他们将无法获得这些资源。的 生物信息学和统计学核心资源和专家人员为以下方面提供了机会： 合作，激发新的研究思路和调查。通过帮助调查人员计划 有效的调查和有效和适当地分析实验数据，生物统计学 核心提高了视觉研究的质量在MEEI，并促进了生产力的提高， 视觉科学项目与此P30核心补助金的其他核心类似， 通过这一核心广泛影响着基础科学发现的翻译，提高我们的理解 研究临床疾病的致病特征，并开发新的治疗和诊断方法。 特别是，核心资源的可用性吸引临床研究人员参与研究， 从而促进研究发现的翻译。

Project summary- Bioinformatics and Statistics Core The purpose of the Bioinformatics and statistics core is to provide bioinformatic and statistical support for clinical, genomic and laboratory studies. A wide variety of studies are supported by the core. This core was modified during the previous funding period to include bioinformatic analyses, especially expertise for analysis of gene expression (RNAseq and microarrays) at the request of MEE investigators. The core resources are targeted to MEE investigators with qualifying R01s but are also used by other investigators and have been especially valuable for young investigators who are starting new research projects who would otherwise not have access to these resources. The Bioinformatics and statistics core resources and expert personnel provide opportunities for collaboration and stimulate new research ideas and investigations. By helping investigators plan effective investigations and efficiently and appropriately analyze experimental data, the biostatistics core has enhanced the quality of vision research at MEEI and has promoted increased productivity of the vision science program. Similar to the other cores for this P30 Core grant, the resources provided by this core broadly impact the translation of basic science discoveries to improve our understanding of the pathogenic features of clinical disease and to develop new therapies and diagnostic modalities. In particular, the availability of the core resources draws clinical investigators into research studies, thus enhancing the translation of research discoveries.