A common objective across ATAC-seq and ChIP-seq analyses is to identify differential signals across contrasted conditions. However, in differential analyses, the impact of copy number variation is often overlooked. Here, we demonstrated copy number differences among samples could drive, if not dominate, differential signals. To address this, we propose a pipeline featuring copy number normalization. By comparing the averaged signal per gene copy, it effectively segregates differential signals driven by copy number from other factors. Further applying it to Down syndrome unveiled distinct dosage-dependent and -independent changes on chromosome 21. Thus, we recommend copy number normalization as a general approach.
Copy number normalization distinguishes differential signals driven by copy number differences in ATAC-seq and ChIP-seq.
拷贝数归一化可以区分ATAC-seq和ChIP-seq中由拷贝数差异引起的差异信号
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作者:Su Dingwen, Peters Moritz, Soltys Volker, Chan Yingguang Frank
| 期刊: | BMC Genomics | 影响因子: | 3.700 |
| 时间: | 2025 | 起止号: | 2025 Mar 28; 26(1):306 |
| doi: | 10.1186/s12864-025-11442-y | 研究方向: | 信号转导 |
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