Kim Daniel S
Biomedical Informatics Program, Stanford University School of Medicine, Stanford, CA, USA.
Methods Mol Biol. 2023;2611:305-323. doi: 10.1007/978-1-0716-2899-7_17.
ATAC-seq (Assay for Transposase-Accessible Chromatin using sequencing) has gained wide popularity as a fast, straightforward, and efficient way of generating genome-wide maps of open chromatin and guiding identification of active regulatory elements and inference of DNA protein binding locations. Given the ubiquity of this method, uniform and standardized methods for processing and assessing the quality of ATAC-seq datasets are needed. Here, we describe the data processing pipeline used by the ENCODE (Encyclopedia of DNA Elements) consortium to process ATAC-seq data into peak call sets and signal tracks and to assess the quality of these datasets.
ATAC-seq(使用测序法检测转座酶可及染色质)作为一种快速、直接且高效的方法,用于生成全基因组开放染色质图谱、指导活性调控元件的鉴定以及推断DNA与蛋白质的结合位置,已广受欢迎。鉴于该方法的广泛应用,需要统一且标准化的方法来处理和评估ATAC-seq数据集的质量。在此,我们描述了ENCODE(DNA元件百科全书)联盟用于将ATAC-seq数据处理为峰集和信号轨迹并评估这些数据集质量的数据处理流程。