The strength of the rat as a model organism lies in its utility in pharmacology,biochemistry and physiology research. Data resulting from such studies is difficultto represent in databases and the creation of user-friendly data mining tools hasproved difficult. The Rat Genome Database has developed a comprehensive ontology-baseddata structure and annotation system to integrate physiological data along withenvironmental and experimental factors, as well as genetic and genomic information.RGD uses multiple ontologies to integrate complex biological information from themolecular level to the whole organism, and to develop data mining and presentationtools. This approach allows RGD to indicate not only the phenotypes seen in a strainbut also the specific values under each diet and atmospheric condition, as well asgender differences. Harnessing the power of ontologies in this way allows the userto gather and filter data in a customized fashion, so that a researcher can retrieveall phenotype readings for which a high hypoxia is a factor. Utilizing the same datastructure for expression data, pathways and biological processes, RGD will providea comprehensive research platform which allows users to investigate the conditionsunder which biological processes are altered and to elucidate the mechanisms ofdisease.
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机译：大鼠作为模型生物的优势在于其在药理学，生物化学和生理学研究中的用途。这样的研究产生的数据很难在数据库中表示，并且已经证明创建用户友好的数据挖掘工具很困难。 Rat Genome Database已开发出一套基于本体的综合数据结构和注释系统，可将生理数据与环境和实验因素以及遗传和基因组信息整合在一起。RGD使用多种本体将从分子水平到整个生物的复杂生物学信息整合在一起，并开发数据挖掘和表示工具。这种方法使RGD不仅可以指示菌株中的表型，还可以指示每种饮食和大气条件下的特定值以及性别差异。通过这种方式利用本体的强大功能，用户可以以定制的方式收集和过滤数据，从而使研究人员可以检索所有缺氧率高的表型读数。通过将相同的数据结构用于表达数据，途径和生物学过程，RGD将提供一个全面的研究平台，使用户可以研究改变生物学过程的条件并阐明疾病的机制。
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