Comparative Functional Genomics (CFG) Core

比较功能基因组学核心项目综述 生物医学研究越来越依赖于收集基因组规模的数据，这些数据需要 促进严格和可重复的实验设计和结果数据分析的可靠程序 布景。合作的基因组规模的研究工作还需要详细和仔细的规划 实验结果的共享、集成和联合分析。在科布雷第一阶段，比较 建立了功能基因组学(CFG)核心，并形成了研究的必要基石 在凯瑟琳·W·戴维斯再生生物学和医学中心工作的科学家的计划。这个 CFG Core在第一阶段的成功中发挥了重要作用，提供计算咨询和 为所有受支持的研究项目提供服务。核心还创建了比较模型 再生数据库，RegenDbase，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 数据管理和分析方面的专门知识和服务，并通过继续进一步开发和 RegenDbase的扩展。RegenDbase将通过扩展到新的实验进行更新和增强 数据类型，例如蛋白质组学和表观遗传学，以及关键外部数据集的整合，以促进 对实验数据进行分析和解释。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做法，包括自动化、版本- 控制，并详细记录所有分析工作流。核心人员还将进行年度培训 为戴维斯中心的所有研究人员举办数据管理和计算分析课程。在……里面 总结，CFG Core将继续提供数据管理、基因组学 Cobre项目负责人完成他们的研究目标所需要的分析和软件工程。

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.