Gkoutos G V, Green E C J, Mallon A-M, Blake A, Greenaway S, Hancock J M, Davidson D
MRC Mammalian Genetics Unit, Harwell, Oxfordshire OX11 0RD, UK.
Comp Funct Genomics. 2004;5(6-7):545-51. doi: 10.1002/cfg.430.
Ontologies are becoming increasingly important for the efficient storage, retrieval and mining of biological data. The description of phenotypes using ontologies is a particularly complex problem. We outline a schema that can be used to describe phenotypes by combining orthologous axiomatic ontologies. We also describe tools for storing, browsing and searching such complex ontologies. Central to this approach is that assays (protocols for measuring phenotypic characters) describe what has been measured as well as how this was done, allowing assays to link individual organisms to ontologies describing phenotypes. We have evaluated this approach by automatically annotating data on 600,000 mutant mice phenotypes using the SHIRPA protocol. We believe this approach will enable the flexible, extensible and detailed description of phenotypes from any organism.
本体对于生物数据的高效存储、检索和挖掘正变得越来越重要。使用本体来描述表型是一个特别复杂的问题。我们概述了一种模式,可通过组合直系同源公理本体来描述表型。我们还描述了用于存储、浏览和搜索此类复杂本体的工具。这种方法的核心是,分析(测量表型特征的方案)既要描述测量的内容,也要描述测量的方式,从而使分析能够将个体生物与描述表型的本体联系起来。我们已通过使用SHIRPA方案自动注释600,000只突变小鼠表型的数据来评估这种方法。我们相信这种方法将能够对任何生物体的表型进行灵活、可扩展且详细的描述。