首页> 外文会议>Pacific Symposium on Biocomputing; 20080104-08; Kohala Coast,HI(US) >USE OF AN EVOLUTIONARY MODEL TO PROVIDE EVIDENCE FOR A WIDE HETEROGENEITY OF REQUIRED AFFINITIES BETWEEN TRANSCRIPTION FACTORS AND THEIR BINDING SITES IN YEAST
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USE OF AN EVOLUTIONARY MODEL TO PROVIDE EVIDENCE FOR A WIDE HETEROGENEITY OF REQUIRED AFFINITIES BETWEEN TRANSCRIPTION FACTORS AND THEIR BINDING SITES IN YEAST

机译:利用进化模型证明酵母中转录因子及其结合位点之间的亲和力具有广泛的异质性

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of substitution observed at sites bound in vivo by transcription factors in S. cerevisiae. Assuming that the cutoff value that gives the best fit between the observed and predicted values will optimally distinguish functional and non-functional sites, we discovered substantial heterogeneity for appropriate cutoff values among factors. While commonly used thresholds seem appropriate for many factors, some factors appear to function at cutoffs satisfied commonly in the genome. This evidence was corroborated by local patterns of rate variation for examples of stringent and lenient p-value cutoffs. Our analysis further highlights the necessity of taking a factor-specific approach to binding site identification.
机译:在酿酒酵母中由转录因子在体内结合的位点观察到的取代的变化。假设在观察值和预测值之间具有最佳拟合的临界值将最佳地区分功能性和非功能性位点,我们发现因素之间适当的临界值存在很大的异质性。尽管常用阈值似乎适合许多因素,但某些因素似乎在基因组中普遍满足的临界值时起作用。例如,严格而宽大的p值临界值的局部变化率模式证实了这一证据。我们的分析进一步凸显了采用特定于因子的方法进行结合位点鉴定的必要性。

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