เปรียบเทียบวิธี

	การเรียกหาตำแหน่งสูงสุดของ ChIP-seq	การวิเคราะห์ ATAC-seq
สาขาวิชา	ชีวสารสนเทศศาสตร์	พันธุศาสตร์
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	2007–2008	2013
ผู้ริเริ่ม	Johnson et al. (ChIP-seq concept, 2007); Zhang et al. (MACS algorithm, 2008)	Jason Buenrostro, Paul Giresi & William Greenleaf
ประเภท	Computational genomics pipeline	Chromatin profiling method
แหล่งต้นตำรับ	Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., & Liu, X. S. (2008). Model-based analysis of ChIP-seq (MACS). Genome Biology, 9(9), R137.	Buenrostro, J. D., Giresi, P. G., Zaba, L. C., Chang, H. Y., & Greenleaf, W. J. (2013). Transposition of native chromatin for fast and sensitive epigenomic profiling of cell populations and tissues. Nature Methods, 10(12), 1213–1218.
ชื่อเรียกอื่น	ChIP-seq analysis, peak detection, MACS peak calling, ChIP peak identification	Chromatin accessibility, Open chromatin, Accessible chromatin analysis
ที่เกี่ยวข้อง	6	2
สรุป	ChIP-seq peak calling is a computational pipeline that identifies genomic regions where a protein of interest — a transcription factor or histone modification — is enriched, based on sequencing reads from chromatin immunoprecipitation experiments. It converts raw sequencing data into a set of high-confidence binding or modification sites across the genome, enabling downstream analysis of gene regulation, chromatin state, and epigenetic mechanisms.	ATAC-seq (Assay for Transposase-Accessible Chromatin using sequencing) is a method for profiling the landscape of chromatin accessibility genome-wide. Developed by Buenrostro and colleagues in 2013, ATAC-seq uses hyperactive transposase to tag open, accessible chromatin regions, enabling rapid and sensitive identification of regulatory DNA elements. ATAC-seq has become a standard technique for characterizing gene regulatory landscapes, discovering cell-type-specific regulatory elements, and inferring gene regulatory networks.