管道(软件)
编码
计算机科学
推论
鉴定(生物学)
染色质
计算生物学
数据挖掘
人工智能
生物
DNA
遗传学
基因
植物
程序设计语言
出处
期刊:Methods in molecular biology
日期:2023-01-01
卷期号:: 305-323
被引量:1
标识
DOI:10.1007/978-1-0716-2899-7_17
摘要
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.
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