Rxivist logo

CoBRA: Containerized Bioinformatics workflow for Reproducible ChIP/ATAC-seq Analysis - from differential peak calling to pathway analysis

By Xintao Qiu, Avery Feit, Ariel Feiglin, Yingtian Xie, Nikolas Kesten, Len Taing, Joseph Perkins, Ningxuan Zhou, Shengqing Gu, Yihao Li, Paloma Cejas, Rinath Jeselsohn, Myles Brown, Xiaole Shirley Liu, Henry Long

Posted 08 Nov 2020
bioRxiv DOI: 10.1101/2020.11.06.367409

ChIP-seq and ATAC-seq have become essential technologies used as effective methods of measuring protein-DNA interactions and chromatin accessibility. However, there is a need for a scalable and reproducible pipeline that incorporates correct normalization between samples, adjustment of copy number variations, and integration of new downstream analysis tools. Here we present CoBRA, a modularized computational workflow which quantifies ChIP and ATAC-seq peak regions and performs unsupervised and supervised analysis. CoBRA provides a comprehensive state-of-the-art ChIP and ATAC-seq analysis pipeline that is usable by scientists with limited computational experience. This enables researchers to gain rapid insight into protein-DNA interactions and chromatin accessibility through sample clustering, differential peak calling, motif enrichment, comparison of sites to a reference DB and pathway analysis. ### Competing Interest Statement The authors have declared no competing interest.

Download data

  • Downloaded 635 times
  • Download rankings, all-time:
    • Site-wide: 56,675
    • In bioinformatics: 5,595
  • Year to date:
    • Site-wide: 32,993
  • Since beginning of last month:
    • Site-wide: 108,010

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


PanLingua

News