Department of Mathematical Sciences, Norwegian University of Science and Technology, N-7491 Trondheim, Norway.
Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, N-7491 Trondheim, Norway.
Biostatistics. 2020 Jul 1;21(3):625-639. doi: 10.1093/biostatistics/kxy084.
We present model-based analysis for ChIA-PET (MACPET), which analyzes paired-end read sequences provided by ChIA-PET for finding binding sites of a protein of interest. MACPET uses information from both tags of each PET and searches for binding sites in a two-dimensional space, while taking into account different noise levels in different genomic regions. MACPET shows favorable results compared with MACS in terms of motif occurrence and spatial resolution. Furthermore, significant binding sites discovered by MACPET are involved in a higher number of significant three-dimensional interactions than those discovered by MACS. MACPET is freely available on Bioconductor. ChIA-PET; MACPET; Model-based clustering; Paired-end tags; Peak-calling algorithm.
我们提出了 ChIA-PET 的基于模型的分析(MACPET),该分析用于分析 ChIA-PET 提供的成对末端读取序列,以寻找感兴趣蛋白质的结合位点。MACPET 利用每个 PET 的两个标签的信息,并在二维空间中搜索结合位点,同时考虑到不同基因组区域的不同噪声水平。与 MACS 相比,MACPET 在基序出现和空间分辨率方面具有更好的结果。此外,MACPET 发现的显著结合位点涉及的显著三维相互作用数量多于 MACS 发现的显著三维相互作用数量。MACPET 可在 Bioconductor 上免费获得。ChIA-PET;MACPET;基于模型的聚类;成对末端标签;峰调用算法。