Comparative Functional Genomics (CFG) Core

比较功能基因组学核心项目总结 生物医学研究越来越依赖于收集基因组规模的数据， 强大的程序，以促进严格和可重复的实验设计和分析所得数据 集.合作基因组规模的研究工作还需要详细和仔细的规划， 共享、整合和共同分析实验结果。在COBRE第一阶段，比较 功能基因组学（CFG）核心成立，并形成了研究的重要基石 在凯瑟琳W.戴维斯再生生物学和医学中心。的 CFG核心在第一阶段的成功中发挥了重要作用，提供了计算咨询， 所有支持的研究项目。核心还创建了比较模型， 再生数据库，RegenDbase，用于组织研究的共享数据管理和分析资源 再生在COBRE第二阶段，CFG核心将通过提供共享的 数据管理和分析方面的专业知识和服务，并继续进一步发展和 RegenDbase的扩展。RegenDbase将通过扩展到新的实验性 数据类型，例如，蛋白质组学和表观遗传学，以及关键的外部数据集的整合，以促进 分析和解释实验数据。核心将确保严格和可重复的分析 通过在计算方法中使用最先进的最佳实践，包括自动化，版本- 控制和详细记录所有分析工作流程。核心人员也将进行年度培训 为戴维斯中心的所有研究人员举办了数据管理和计算分析会议。在 总的来说，CFG核心将继续提供数据管理、基因组学和生物学方面的专业知识和服务。 分析和软件工程，COBRE项目领导者需要完成他们的研究目标。

COMPARATIVE FUNCTIONAL GENOMICS CORE PROJECT SUMMARY Biomedical research is increasingly dependent on the collection of genome-scale data that require robust procedures to facilitate rigorous and reproducible experimental design and analysis of resulting data sets. Collaborative genome-scale research efforts additionally require detailed and careful planning for sharing, integration, and joint analysis of experimental results. During COBRE Phase I, the Comparative Functional Genomics (CFG) Core was established and formed an essential cornerstone of the research programs of scientists working in the Kathryn W. Davis Center for Regenerative Biology and Medicine. The CFG Core played a fundamental role in the success of Phase I, providing computational consultation and services across all supported research projects. The Core also created the Comparative Models of Regeneration Database, RegenDbase, a shared data management and analysis resource for studies of tissue regeneration. In COBRE Phase II, the CFG Core will support COBRE Project Leaders by providing shared expertise and services in data management and analysis, and by continuing further development and expansion of RegenDbase. RegenDbase will be updated and enhanced by the expansion to new experimental data types, e.g., proteomics and epigenetics, as well as the integration of critical external datasets to facilitate analysis and interpretation of the experimental data. The Core will ensure rigorous and reproducible analysis through use of state-of-the-art best practices in computational approaches, including automation, version- control, and detailed logging of all analysis workflows. Core personnel will also conduct an annual training session in data management and computational analysis for all research staff in the Davis Center. In summary, the CFG Core will continue to provide expertise and services in data management, genomic analysis, and software engineering that COBRE Project Leaders need to accomplish their research goals.