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首页> 外文期刊>Bioinformatics >GO-Mapper: functional analysis of gene expression data using the expression level as a score to evaluate Gene Ontology terms
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GO-Mapper: functional analysis of gene expression data using the expression level as a score to evaluate Gene Ontology terms

机译:GO-Mapper:使用表达水平作为评分来评估基因本体论术语的基因表达数据的功能分析

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摘要

Motivation: Retrieval of information on biological processes from large-scale expression data is still a time-consuming task. An automated analysis utilizing all expression information would greatly increase our understanding of the samples under study.Results: We describe here a novel method to obtain a functional analysis of complex gene expression data. Instead of applying a predefined expression threshold, Gene Ontology (GO) terms are weighted using the actual measured levels of expression of all associated genes. Based on this concept, the application GO-Mapper was developed to quantitatively link gene expression levels to GO-terms for multiple experiments in an automated way. The applicability of GO-Mapper was developed and validated on in house and public human microarray data and mouse SAGE data. We demonstrate that the GO-Mapper allows for interrelating relevant biological functions with the experiments under study.
机译:动机:从大规模表达数据中检索生物过程信息仍然是一项耗时的任务。利用所有表达信息的自动分析将大大提高我们对所研究样品的了解。结果:在此我们描述了一种获得复杂基因表达数据功能分析的新方法。代替应用预定义的表达阈值,使用所有相关基因的实际表达水平对基因本体论(GO)术语进行加权。基于此概念,开发了应用程序GO-Mapper,以自动方式将基因表达水平与GO术语定量连接,以进行多个实验。 GO-Mapper的适用性是在室内和公共人类微阵列数据和小鼠SAGE数据上开发和验证的。我们证明GO-Mapper可以使相关的生物学功能与正在研究的实验相互关联。

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