GSE120023 Processing Pipeline
Publication
Pervasive Chromatin-RNA Binding Protein Interactions Enable RNA-Based Regulation of Transcription.Cell (2019) — PMID 31251911
Dataset
GSE120023Pervasive Chromatin-RNA Binding Protein Interactions Enable RNA-based Regulation of Transcription [HiC-Seq]
Processing Steps
Generate Jupyter Notebook-
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Library strategy: HiC-Seq
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The ChIA-PET2 software (Li et al., 2017a) was used for quality control and identification of chromatin interactions with the following parameter setting: -A ACGCGATATCTTATC -B AGTCAGATAAGATAT -s 1 -m 1 -t 4 -k 2 -e 1 -l 15 -S 500 -M "-q 0.05" âC 1.
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PCA analysis is then applied to 40-kb resolution interaction matrix generated by HiC-Pro (Servant et al., 2015), and regions of continuous positive or negative PC1 values were used for the identification of A or B compartments (Heinz et al., 2010).
PCA -
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The interaction matrix was visualized by HiCPlotter (Akdemir and Chin, 2015).
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High confident interactions were defined as those with >3 PET counts and q-value < 0.05 for downstream analysis.
Tools Used
Raw Source Text
Library strategy: HiC-Seq The ChIA-PET2 software (Li et al., 2017a) was used for quality control and identification of chromatin interactions with the following parameter setting: -A ACGCGATATCTTATC -B AGTCAGATAAGATAT -s 1 -m 1 -t 4 -k 2 -e 1 -l 15 -S 500 -M "-q 0.05" âC 1. PCA analysis is then applied to 40-kb resolution interaction matrix generated by HiC-Pro (Servant et al., 2015), and regions of continuous positive or negative PC1 values were used for the identification of A or B compartments (Heinz et al., 2010). The interaction matrix was visualized by HiCPlotter (Akdemir and Chin, 2015). High confident interactions were defined as those with >3 PET counts and q-value < 0.05 for downstream analysis. Genome_build: GRCh37 (hg19) Supplementary_files_format_and_content: MICC