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BroadPeak: a novel algorithm for identifying broad peaks in diffuse ChIP-seq datasets

机译:BroadPeak:一种新颖的算法,用于识别弥散ChIP-seq数据集中的宽峰

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摘要

Although some histone modification chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq) signals show abrupt peaks across narrow and specific genomic locations, others have diffuse distributions along chromosomes, and their large contiguous enrichment landscapes are better modeled as broad peaks. Here, we present BroadPeak, an algorithm for the identification of such broad peaks from diffuse ChIP-seq datasets. We show that BroadPeak is a linear time algorithm that requires only two parameters, and we validate its performance on real and simulated histone modification ChIP-seq datasets. BroadPeak calls peaks that are highly coincident with both the underlying ChIP-seq tag count distributions and relevant biological features, such as the gene bodies of actively transcribed genes, and it shows superior overall recall and precision of known broad peaks from simulated datasets.
机译:尽管某些组蛋白修饰染色质免疫沉淀后接高通量测序(ChIP-seq)信号显示在狭窄且特定的基因组位置上出现了陡峭的峰,但另一些在染色体上却具有分散的分布,并且它们较大的连续富集图更好地建模为宽峰。在这里,我们介绍BroadPeak,一种用于从扩散ChIP-seq数据集中识别此类宽峰的算法。我们展示了BroadPeak是仅需要两个参数的线性时间算法,并且我们在真实和模拟的组蛋白修饰ChIP-seq数据集上验证了其性能。 BroadPeak调用的峰与潜在的ChIP-seq标签计数分布和相关生物学特征(例如,活跃转录的基因的基因体)高度一致,并且从模拟数据集中显示出优异的整体召回率和已知宽峰的精确度。

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