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Statistical methods to infer cooperative binding among transcription factors in Saccharomyces cerevisiae

机译:推断酿酒酵母转录因子之间协同结合的统计方法

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摘要

Motivation: Transcription factors regulate transcription in prokaryotes and eukaryotes by binding to specific DNA sequences in the regulatory regions of the genes. This regulation usually occurs in a coordinated manner involving multiple transcription factors. Genome-wide location data, also called ChIP-chip data, have enabled researchers to infer the binding sites for individual regulatory proteins. However, current methods to infer binding sites, such as simple thresholding based on p-values, are not optimal for a number of study objectives like combinatorial regulation, leading to potential loss of information. Hence, there is a need to develop more efficient statistical methods for analyzing such data.
机译:动机:转录因子通过与基因调节区域中的特定DNA序列结合来调节原核生物和真核生物中的转录。这种调节通常以协调的方式发生,涉及多个转录因子。全基因组范围的位置数据(也称为ChIP芯片数据)使研究人员能够推断单个调节蛋白的结合位点。但是,当前的推断结合位点的方法,例如基于p值的简单阈值法,对于诸如组合调控的许多研究目标而言并不是最佳选择,从而可能导致信息丢失。因此,需要开发用于分析此类数据的更有效的统计方法。

著录项

  • 来源
    《Bioinformatics》 |2008年第4期|545-552|共8页
  • 作者

    Debayan Datta; and Hongyu Zhao;

  • 作者单位

    Department of Biomedical Engineering Department of Epidemiology and Public Health and;

    Department of Genetics Yale University New Haven CT 06520 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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