Comprehensive epigenomic profiling reveals disease-specific chromatin states and enhances therapeutic target discovery in ankylosing spondylitis
收藏NIAID Data Ecosystem2026-05-01 收录
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https://zenodo.org/record/6373353
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We performed comprehensive epigenetic profiling in immune cell samples from patients with ankylosing spondylitis and healthy controls.
We used ChromHMM to integrate epigenomic data. ChromHMM filenames are in the format ChromHMM_sampleID_celltype_n.bed.gz where n is the number of states in the ChromHMM emission model.
We performed Capture-C to detect chromosome looping interactions between gene promoters and SNPs associated with ankylosing spondylitis.
Capture-C count data are shown in the format: CaptureC_celltype_gene_Pro/SNP_normalised.unionbdg
We used PeakY to calculate a score for each interaction. PeakY scores are given in the following format: PeakY_AS/HV_celltype_tier_chrloc_gene_Pro/SNP.txt
gene_Pro and gene_SNP relate to the baitsets given in Table S8.
创建时间:
2023-04-28



