GSE120104 Processing Pipeline
ChIP-Seq
code_examples
5 steps
Publication
Pervasive Chromatin-RNA Binding Protein Interactions Enable RNA-Based Regulation of Transcription.Cell (2019) — PMID 31251911
Dataset
GSE120104Pervasive Chromatin-RNA Binding Protein Interactions Enable RNA-based Regulation of Transcription [ChIP-Seq]
Warning: Pipeline descriptions and code snippets may be inferred or AI-generated. Use them only as a starting point to guide analysis, and validate before use.
Processing Steps
Generate Jupyter Notebook-
1
ChIP-seq data were processed in accordance with ENCODE uniform transcription factor ChIP-seq pipeline (https://www.encodeproject.org/chip-seq/transcription_factor/).
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Briefly, ChIP-seq reads were aligned to the GRCh37 human genome using BWA
BWA -
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PCR duplicates and reads of low quality were filtered
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Peak-calling was performed with SPP and IDR with 0.02 IDR threshhold
IDR v0.02 -
5
Signal tracks were generated with MACS2 and bigWig applications from UCSC genome browser (http://hgdownload.soe.ucsc.edu/admin/exe/linux.x86_64/)
MACS2
Tools Used
Raw Source Text
ChIP-seq data were processed in accordance with ENCODE uniform transcription factor ChIP-seq pipeline (https://www.encodeproject.org/chip-seq/transcription_factor/). Briefly, ChIP-seq reads were aligned to the GRCh37 human genome using BWA; PCR duplicates and reads of low quality were filtered; Peak-calling was performed with SPP and IDR with 0.02 IDR threshhold; Signal tracks were generated with MACS2 and bigWig applications from UCSC genome browser (http://hgdownload.soe.ucsc.edu/admin/exe/linux.x86_64/) Genome_build: GRCh37 (hg19) Supplementary_files_format_and_content: Peak files were narrowPeak files generated by SPP; column information of narrowPeak file is explicated at the link (https://genome-euro.ucsc.edu/FAQ/FAQformat.html#format12).