ENAapplication/xmlftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR932/007/SRR9320047/SRR9320047_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR932/002/SRR9320052/SRR9320052_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR122/021/SRR12203321/SRR12203321_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR932/008/SRR9320048/SRR9320048_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR932/000/SRR9320050/SRR9320050_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR122/021/SRR12203321/SRR12203321_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR932/009/SRR9320049/SRR9320049_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR122/023/SRR12203323/SRR12203323_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR932/001/SRR9320051/SRR9320051_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR932/000/SRR9320050/SRR9320050_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR932/001/SRR9320051/SRR9320051_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR932/002/SRR9320052/SRR9320052_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR122/022/SRR12203322/SRR12203322_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR932/007/SRR9320047/SRR9320047_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR932/009/SRR9320049/SRR9320049_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR932/008/SRR9320048/SRR9320048_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR122/022/SRR12203322/SRR12203322_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR122/023/SRR12203323/SRR12203323_2.fastq.gzprimaryOK200GenomicsVan Andel Research Institutehttps://www.ebi.ac.uk/ena/browser/view/PRJNA549445Homo sapiensxref:PubMed:32994221Chromatin immunoprecipitation followed by next-generation sequencing (ChIP-seq) is a key technique for mapping the distribution and relative abundance of histone posttranslational modifications (PTMs) and chromatin-associated factors across genomes. There is a perceived challenge regarding the ability to quantitatively plot ChIP-seq data, and as such, approaches making use of exogenous additives, or “spike-ins” have recently been developed. Relying on the fact that the IP step of ChIP-seq is a competitive binding reaction, we present a quantitative framework for ChIP-seq analysis that circumvents the need to modify standard sample preparation pipelines with spike-in reagents. We also introduce a visualization technique that, when paired with our formal developments, produces a much more rich characterization of sequencing data. Overall design: Examination of H3K27me3 in a wild-type cell line and one treated with the EZH2 inhibitor (EPZ6438). Examination of H3K9me3 in a wild-type cell line.ENAHSPABP2, NY-CO-7, l(2)k04405, dLdb, Ldb, LDB, Chip, ChIP, 2210017D18Rik, dCHIP, number, CG5203, CHIP, Chromatin Immunoprecipitation, SCAR16, CG3924, l(2)04405, presence, chip, SDCCAG7., count in organism, dLDB/Chip, DmelCG5203, DmelCG3924, AW046544, UBOX1, 0610033N24Rik, 2310040B03Rik, PP1131, SDCCAG7HSPABP2, NY-CO-7, l(2)k04405, dLdb, Ldb, LDB, Chip, ChIP, 2210017D18Rik, dCHIP, number, CG5203, CHIP, Chromatin Immunoprecipitation, SCAR16, CG3924, l(2)04405, presence, chip, SDCCAG7., count in organism, dLDB/Chip, DmelCG5203, DmelCG3924, AW046544, UBOX1, 0610033N24Rik, 2310040B03Rik, PP1131, SDCCAG7falsesiQ-ChIP: A reverse-engineered quantitative framework for ChIP-sequencingsiQ-ChIP: A reverse-engineered quantitative framework for ChIP-sequencing2025-09-242020-01-03PRJNA549445GSE132906960632994221