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精确地分配多地图读数,可以在重复时进行调控元件分析
Alexis Morrissey1, Jeffrey Shi1, Daniela Q James1
1Center for Eukaryotic Gene Regulation, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
Genome research
|July 10, 2024
概括
它准确地绘制了从重复的基因组区域读取序列的地图,揭示了新的基因调控元素. 这种新方法增强了可转移元素和其他基因组学重复区域的分析.
科学领域:
- 基因组学就是基因组学.
- 计算生物学 计算生物学
- 分子生物学分子生物学
背景情况:
- 可转移元素 (TE) 和重复区域含有关键的基因调节元素,包括转录因子结合位.
- 像ChIP-seq和ATAC-seq这样的短读测序试验在重复中难以表征调控元素,因为多映射读数被丢弃.
- 目前的监管基因组学管道错过了重复性基因组区域中发生的大量监管事件.
研究的目的:
- 开发一种新的计算方法,Allo,用于准确地分配来自重复基因组区域的多地图测序读数.
- 改进可转移元素和其他重复序列中的基因调节元件的表征.
- 能够在复杂的基因组区域中发现以前未被发现的调节相互作用.
主要方法:
- 开发了Allo,一种将多地图读数的概率映射与用于峰值检测的卷积神经网络相结合的方法.
- Allo处理多地图读取,这些读取主要来自重复区域,以识别监管元素.
- 该方法生成了与现有的基因组学分析管道和峰值查找器兼容的纠正对齐文件.
主要成果:
- 在ChIP-seq数据中,Allo发现了成千上万个新的CTCF结合点,其中许多与已知的动机和TAD边界相关.
- 对ENCODE ChIP-seq数据集的应用揭示了以前未知的转录因子与重复元素家族的相互作用.
- 该方法成功地在具有挑战性的区域 (如中间体,细分重复基因和年轻的TE) 中识别了ChIP-seq峰值.
结论:
- 通过有效利用多地图读取,Allo显著提高了在重复的基因组区域内检测调节元素的能力.
- 该工具有助于在以前无法访问的基因组领域进行新型监管分析,包括中间体和TEs.
- 这种方法通过将重复关联的监管元素集成到分析中来扩大监管基因组学的范围.
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