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CpG island mediated linear and spatial gene partitioning (ChIP-seq)

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NIAID Data Ecosystem2026-03-10 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE80791
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In order to elucidate the general rules for gene localization and regulation mediated by CpG islands, we reanalyzed published ChIP-seq data of CXXC domain, H3K9me3, KDM2A, SUV39H1, ATF4, MYBL1, MYOD1, SPI1, and CTCF. Raw data were downloaded from Sequence Read Archive (SRA) in National Center for Biotechnology Information (NCBI) database. FASTQ files were extracted with the SRA Toolkit version 2.5.5 and aligned using Bowtie 2.2.5 onto the mouse and human genome (mm9 and hg19, respectively). For the identification of factor binding sites, model-based analysis for ChIP-seq peak caller (MACS 1.4.2) was used with a p-value cutoff of 1e-5. Analyses of published ChIP-seq data of 7 DNA binding proteins and CXXC domain, H3K9me3 marks and author provided controls.
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2018-05-17
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