HyperChIP: identification of hypervariable signals across ChIP-seq or ATAC-seq samples.

HyperChIP: identification of hypervariable signals across ChIP-seq or ATAC-seq samples.
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HyperChIP:识别 ChIP-seq 或 ATAC-seq 样本中的高变量信号

DOI:
10.1186/s13059-022-02627-9
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发表时间:
2022-02-28
期刊:
影响因子:
12.3
通讯作者:
Shao Z
Shao Z
中科院分区:
生物学1区
文献类型:
--
作者:
Chen H;Tu S;Yuan C;Tian F;Zhang Y;Sun Y;Shao Z

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通过给定样本中的高变 ChIP-seq 或 ATAC-seq 信号识别基因组区域对于大规模表观遗传学研究至关重要。特别是,不同患者肿瘤的高变区表明了它们的异质性,有助于揭示潜在的癌症亚型和相关的表观遗传标记。我们将 HyperChIP 作为该任务的第一个完整统计工具。 HyperChIP 使用缩放方差来解释均值方差依赖性,对基因组区域进行排序,并通过减少真实高变区域对模型拟合的影响来提高统计功效。一项泛癌案例研究说明了 HyperChIP 的实用性。
Identifying genomic regions with hypervariable ChIP-seq or ATAC-seq signals across given samples is essential for large-scale epigenetic studies. In particular, the hypervariable regions across tumors from different patients indicate their heterogeneity and can contribute to revealing potential cancer subtypes and the associated epigenetic markers. We present HyperChIP as the first complete statistical tool for the task. HyperChIP uses scaled variances that account for the mean-variance dependence to rank genomic regions, and it increases the statistical power by diminishing the influence of true hypervariable regions on model fitting. A pan-cancer case study illustrates the practical utility of HyperChIP.
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