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False positive peaks in ChIP-seq and other sequencing-based functional assays caused by unannotated high copy number regions

机译:由未注释的高拷贝数区域引起的ChIP-seq和其他基于测序的功能测定中的假阳性峰

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Motivation: Sequencing-based assays such as ChIP-seq, DNase-seq and MNase-seq have become important tools for genome annotation. In these assays, short sequence reads enriched for loci of interest are mapped to a reference genome to determine their origin. Here, we consider whether false positive peak calls can be caused by particular type of error in the reference genome: multicopy sequences which have been incorrectly assembled and collapsed into a single copy.Results: Using sequencing data from the 1000 Genomes Project, we systematically scanned the human genome for regions of high sequencing depth. These regions are highly enriched for erroneously inferred transcription factor binding sites, positions of nucleosomes and regions of open chromatin. We suggest a simple masking procedure to remove these regions and reduce false positive calls.
机译:动机:基于测序的检测方法(例如ChIP-seq,DNase-seq和MNase-seq)已成为基因组注释的重要工具。在这些测定中,将富集了感兴趣的基因座的短序列读数映射到参考基因组,以确定其来源。在这里,我们考虑是否可能由参考基因组中特定类型的错误引起假阳性峰调用:错误组装并折叠成单个拷贝的多拷贝序列结果:使用来自1000个基因组计划的测序数据,我们进行了系统扫描高测序深度区域的人类基因组。这些区域富含错误推断的转录因子结合位点,核小体位置和开放染色质区域。我们建议使用简单的屏蔽程序来删除这些区域并减少误报。

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