The peaks were filtered for P < 10−20, next, peak calling and annotation were done by using Model-based Analysis of ChIP-Seq (MACS, version 1.4) (20 (link)) and peakAnnotator (version 1.4) (21 (link)), respectively. The published ChIP-seq data from Gene Expression Omnibus (GEO) database were acquired to analyze the binding targets of H3K9me2 and H3K9me3 (accession number GSE82144) (22 (link)), RELA (GSE36099) (23 (link)), and KDM4A and KDM4C in mouse acute myeloid leukemia (AML) cells (GSE81300) (24 (link)).
ChIP-seq Analysis of Histone Modifications
The peaks were filtered for P < 10−20, next, peak calling and annotation were done by using Model-based Analysis of ChIP-Seq (MACS, version 1.4) (20 (link)) and peakAnnotator (version 1.4) (21 (link)), respectively. The published ChIP-seq data from Gene Expression Omnibus (GEO) database were acquired to analyze the binding targets of H3K9me2 and H3K9me3 (accession number GSE82144) (22 (link)), RELA (GSE36099) (23 (link)), and KDM4A and KDM4C in mouse acute myeloid leukemia (AML) cells (GSE81300) (24 (link)).
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Corresponding Organization : Genomics Research Center, Academia Sinica
Other organizations : King Abdullah University of Science and Technology, Academia Sinica, Kaohsiung Medical University, Taipei Tzu Chi Hospital, National Taiwan University Hospital, National Taiwan University
Variable analysis
- ChIP-seq libraries prepared using standard Illumina protocols
- Sequencing of the libraries in two successive runs
- Binding targets of H3K9me2, H3K9me3, RELA, KDM4A, and KDM4C in mouse AML cells
- Reference mouse genome (version mm9) used for alignment
- Bowtie 0.12.7 used for sequence alignment
- Peak filtering at P < 10^-20
- MACS version 1.4 used for peak calling
- PeakAnnotator version 1.4 used for peak annotation
Annotations
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