Tiger HRE Finder - A Tool for Identification of Hormone Receptor Binding Sites in Query Sequences

M. Stepanova, Lin Feng, V. Lin
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引用次数: 1

Abstract

Prediction of transcription factor binding sites is a crucial challenge in investigation of mechanisms of gene expression regulation. Due to high diversity of different types of transcription factors and their DNA binding preferences, it is difficult to establish an accurate model for recognition of functional regulatory elements in promoters of eukaryotic genes. Here we present a tool for precise prediction of a large group of transcription factor binding sites - steroid hormone response elements. The tool uses large training set of experimentally confirmed steroid hormone response elements, and adapts sequence-based statistic method of position weight matrix, for identification of the binding sites of the query sequences. Accuracy level (considering trade-off sensitivity vs. specificity) is a user-defined parameter and a table of correspondence of the above values is collected from a number of independent tests
Tiger HRE Finder -一个在查询序列中识别激素受体结合位点的工具
转录因子结合位点的预测是研究基因表达调控机制的一个重要挑战。由于不同类型的转录因子及其DNA结合偏好的高度多样性,真核基因启动子中功能调控元件的识别难以建立准确的模型。在这里,我们提出了一种精确预测一大组转录因子结合位点的工具-类固醇激素反应元件。该工具利用大量实验确认的类固醇激素反应要素训练集,采用基于序列的位置权重矩阵统计方法,对查询序列的结合位点进行识别。准确度级别(考虑敏感性与特异性的权衡)是用户定义的参数,上述值的对应表是从多个独立测试中收集的
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