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CLOE: Identification of putative functional relationships among genes by comparison of expression profiles between two species

机译:CLOE:通过比较两个物种之间的表达谱来鉴定基因之间的假定功能关系

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Background Public repositories of microarray data contain an incredible amount of information that is potentially relevant to explore functional relationships among genes by meta-analysis of expression profiles. However, the widespread use of this resource by the scientific community is at the moment limited by the limited availability of effective tools of analysis. We here describe CLOE, a simple cDNA microarray data mining strategy based on meta-analysis of datasets from pairs of species. The method consists in ranking EST probes in the datasets of the two species according to the similarity of their expression profiles with that of two EST probes from orthologous genes, and extracting orthologous EST pairs from a given top interval of the ranked lists. The Gene Ontology annotation of the obtained candidate partners is then analyzed for
机译:背景微阵列数据的公共存储库包含数量惊人的信息,这些信息可能与通​​过表达谱的荟萃分析探索基因之间的功能关系有关。但是,目前,由于有效分析工具的可用性有限,科学界对该资源的广泛使用受到了限制。我们在这里描述CLOE,这是一种简单的cDNA微阵列数据挖掘策略,基于对成对物种的数据集进行荟萃分析。该方法包括根据两个物种的表达谱与来自直系同源基因的两个EST探针的表达谱的相似性,对这两个物种的数据集中的EST探针进行排名,并从排名列表的给定最高间隔中提取直系EST对。然后分析获得的候选伴侣的基因本体注释

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