ENAapplication/xmlftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR323/093/SRR32358993/SRR32358993.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR323/092/SRR32358992/SRR32358992.fastq.gzprimaryOK200GenomicsSouthern Medical Universityhttps://www.ebi.ac.uk/ena/browser/view/PRJNA1224241ATAC-seq pipeline was utilized for stringent quality control and statistical analysis of sequencing data, ensuring the reliability of accessibility profiles. Paired-end reads (150 bp) were aligned to the reference genome (human: hg38 mouse: mm10) following a standardized mapping protocol. To detect differentially accessible regions, the DiffBind R package was employed, using statistical modeling to identify significant chromatin accessibility variations between conditions.ENAfalseATAC-sequence in H69AR and H69 celllines2025-02-222025-02-22PRJNA1224241