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Properly defining the targets of a transcription factor significantly improves the computational identification of cooperative transcription factor pairs in yeast

机译:正确定义转录因子的靶标可显着改善酵母中协同转录因子对的计算鉴定

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摘要

BackgroundTranscriptional regulation of gene expression in eukaryotes is usually accomplished by cooperative transcription factors (TFs). Computational identification of cooperative TF pairs has become a hot research topic and many algorithms have been proposed in the literature. A typical algorithm for predicting cooperative TF pairs has two steps. (Step 1) Define the targets of each TF under study. (Step 2) Design a measure for calculating the cooperativity of a TF pair based on the targets of these two TFs. While different algorithms have distinct sophisticated cooperativity measures, the targets of a TF are usually defined using ChIP-chip data. However, there is an inherent weakness in using ChIP-chip data to define the targets of a TF. ChIP-chip analysis can only identify the binding targets of a TF but it cannot distinguish the true regulatory from the binding but non-regulatory targets of a TF.
机译:背景真核生物中基因表达的转录调节通常是通过协同转录因子(TF)来完成的。协同TF对的计算识别已成为研究的热点,文献中提出了许多算法。用于预测协作TF对的典型算法有两个步骤。 (步骤1)定义每个正在研究的TF的目标。 (步骤2)根据这两个TF的目标,设计一种计算TF对的协作性的措施。尽管不同的算法具有独特的复杂协作性度量,但是TF的目标通常是使用ChIP芯片数据定义的。但是,使用ChIP芯片数据定义TF的目标存在固有的缺陷。 ChIP芯片分析只能识别TF的结合靶标,而不能区分TF的结合靶与非调节靶的真正调控。

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