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Transcription Factor Binding Site Detection through Position Cross-Mutual Information variability analysis

机译:转录因子结合位点检测通过位置交叉互相可变性分析

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Regulatory sequence detection is a fundamental challenge in computational biology. One key process in protein synthesis starts with the binding of the transcription factor to its binding site. Different sites can show binding to the same factor. This variability found in binding sequences increases the difficulty of their detection using computational algorithms. In this manuscript, a method for the detection of binding sites is proposed, based on the correlation between binding sequence positions through information theoretical measures. Efficiency values of the method are reported in the form of Receiver Operating Characteristic curves on the detection of different transcription factors of the Saccharomyces cerevisiae organism. We compare our results with other known motif detection Motif Discovery scan (MDscan).
机译:监管序列​​检测是计算生物学中的基本挑战。蛋白质合成中的一个关键方法从转录因子与其结合位点的结合开始。不同的网站可以显示与相同因素的绑定。在结合序列中发现的这种可变性增加了使用计算算法的检测的难度。在该稿件中,基于通过信息理论措施的结合序列位置之间的相关性,提出了一种检测结合位点的方法。在检测酿酒酵母生物体的不同转录因子的检测中,以接收器操作特性曲线的形式报告该方法的效率值。我们将结果与其他已知的图案检测主题发现扫描(MDSCAN)进行比较。

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