4.7 Article

CoBRA: Containerized Bioinformatics Workflow for Reproducible ChIP/ATAC-seq Analysis

Journal

GENOMICS PROTEOMICS & BIOINFORMATICS
Volume 19, Issue 4, Pages 652-661

Publisher

ELSEVIER
DOI: 10.1016/j.gpb.2020.11.007

Keywords

ChIP-seq; ATAC-seq; Snakemake; Docker; Workflow

Funding

  1. National Institutes of Health, United States [2PO1CA163227, P01CA250959]

Ask authors/readers for more resources

CoBRA is a modularized computational workflow for analyzing ChIP-seq and ATAC-seq data, providing researchers with rapid insight into protein-DNA interactions and chromatin accessibility.
Chromatin immunoprecipitation sequencing (ChIP-seq) and the Assay for Transposase-Accessible Chromatin with high-throughput sequencing (ATAC-seq) have become essential technologies to effectively measure protein-DNA interactions and chromatin accessibility. However, there is a need for a scalable and reproducible pipeline that incorporates proper normalization between samples, correction of copy number variations, and integration of new downstream analysis tools. Here we present Containerized Bioinformatics workflow for Reproducible ChIP/ATAC-seq Analysis (CoBRA), a modularized computational workflow which quantifies ChIP-seq and ATAC-seq peak regions and performs unsupervised and supervised analyses. CoBRA provides a comprehensive state-of-the-art ChIP-seq and ATAC-seq analysis pipeline that can be used 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 database, and pathway analysis. CoBRA is publicly available online at https://bitbucket. org/cfce/cobra.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available