The Functional Genomics Experiment model (FuGE): an extensible framework for standards in functional genomics

The Functional Genomics Experiment model (FuGE): an extensible framework for standards in functional genomics
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DOI:
10.1038/nbt1347
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发表时间:
2007-10-01
影响因子:
46.9
通讯作者:
Pizarro, Angel
Pizarro, Angel
中科院分区:
工程技术1区
文献类型:
--
作者:
Jones, Andrew R.;Miller, Michael;Pizarro, Angel

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功能基因组学实验数据模型(FuGE)的开发是为了促进生物学中高通量、全面分析的数据标准的融合。FuGE对不同技术中常见的实验活动的组成部分进行建模,包括协议,样本和数据。FuGE为描述整个实验室工作流程和开发新的数据格式提供了基础。微阵列基因表达数据协会和蛋白质组学标准倡议已承诺使用FuGE作为定义各自标准的基础,其他标准团体,包括代谢组学标准倡议,正在评估FuGE在其开发工作中的作用。多个标准机构采用FuGE将能够统一报告功能基因组学工作流程的共同部分,简化数据集成工作,并减轻寻求满足多个最低报告要求的研究人员的负担。这些进展对于功能基因组学和系统生物学的透明数据管理和挖掘非常重要。
The Functional Genomics Experiment data model (FuGE) has been developed to facilitate convergence of data standards for high-throughput, comprehensive analyses in biology. FuGE models the components of an experimental activity that are common across different technologies, including protocols, samples and data. FuGE provides a foundation for describing entire laboratory workflows and for the development of new data formats. The Microarray Gene Expression Data society and the Proteomics Standards Initiative have committed to using FuGE as the basis for defining their respective standards, and other standards groups, including the Metabolomics Standards Initiative, are evaluating FuGE in their development efforts. Adoption of FuGE by multiple standards bodies will enable uniform reporting of common parts of functional genomics workflows, simplify data-integration efforts and ease the burden on researchers seeking to fulfill multiple minimum reporting requirements. Such advances are important for transparent data management and mining in functional genomics and systems biology.