Science AdvancesBioinformaticsPeer-reviewed journal article
ChIA-PIPE: A fully automated pipeline for ChIA-PET data analysis and visualization
Byoungkoo LeeiD, Jiahui WangiD, Liuyang Cai, Minji KimiD, Sandeep NamburiiD, Harianto TjongiD, Yuliang FengiD, Ping WangiD, Zhonghui TangiD, Ahmed Abbas, Chia‐Lin WeiiD, Yijun RuaniD, Sheng LiiD
- Citations
- 48
- FWCI
- 1.70
- Field percentile
- top 15%
Abstract
ChIA-PET enables the genome-wide discovery of chromatin interactions involving specific protein factors, with base-pair resolution. Interpreting ChIA-PET data depends on having a robust analytic pipeline. Here, we introduce ChIA-PIPE, a fully automated pipeline for ChIA-PET data processing, quality assessment, analysis, and visualization. ChIA-PIPE performs linker filtering, read mapping, peak calling, loop calling, chromatin-contact-domain calling, and can resolve allele-specific peaks and loops. ChIA-PIPE also automates quality-control assessment for each dataset. Furthermore, ChIA-PIPE generates input files for visualizing 2D contact maps with Juicebox and HiGlass, and provides a new dockerized visualization tool for high-resolution, browser-based exploration of peaks and loops. With minimal adjusting, ChIA-PIPE can also be suited for the analysis of other related chromatin-mapping data.
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