Bioinformatics and Biostatistics Core

项目摘要 测序技术的最新进展提供了丰富的基因型和表达 数据结合高质量的临床表型数据，这些数据可以提供关键的 对眼科疾病的见解。但是，大多数实验室不具备 有效利用大规模基因型和表型数据。 生物信息学和生物统计学核心（BBC）将加强研究活动， NEI资助了爱荷华州大学的研究人员， 研究人员在最先进的统计分析程序方面经验丰富， 生物信息学BBC人员将可以使用多个高性能计算设备， 平台，包括对Argon上计算资源的专用访问， 爱荷华州的高性能计算集群。 提供实验设计和分析服务的集中核心的可用性将允许 研究人员将他们的资源集中在视觉背后的科学和发现上 研究，同时仍然能够充分获得高质量和标准化的专业知识， 高度专业化的分析技术和理论。视觉研究社区的培训是 BBC的一个重要方面，重点是了解能力， 利用我们不断改进的技术进行生物医学实验的局限性。BBC的 基于核心的服务将产生更可重复和更强大的分析， 最大限度地发挥NEI资助的研究人员的能力，使新的发现。

Project Summary Recent advances in sequencing technologies provide a wealth of genotype and expression data. In combination with high-quality clinical phenotype data, these data can provide key insights into ophthalmic disease. However, most labs do not have the capabilities required to efficiently use large-scale genotype and phenotype data. The Bioinformatics and Biostatistics Core (BBC) will enhance the research activities of the NEI-funded investigators at The University of Iowa by providing access to computational researchers experienced in state-of-the-art procedures for statistical analysis and bioinformatics. BBC personnel will have access to multiple high-performance computing platforms, including dedicated access to computing resources on Argon, The University of Iowa’s high-performance computing cluster. The availability of a centralized core offering experiment design and analytic services will allow investigators to focus their resources on the science and discoveries underlying vision research while still being able to gain full access to high-quality and standardized expertise in highly-specialized analytic techniques and theory. Training of the vision research community is a critical aspect of the BBC with an emphasis towards understanding the capabilities and limitations of biomedical experiments that leverage our ever-improving technology. The BBC’s core-based services will yield more reproducible and well-powered analyses and in turn maximize the ability of NEI-funded investigators to make new discoveries.