Genomics Proteomics & BioinformaticsBioinformaticsPeer-reviewed journal article
CoBRA: Containerized Bioinformatics workflow for Reproducible ChIP/ATAC-seq Analysis - from differential peak calling to pathway analysis
Xintao QiuiD, Avery S. FeitiD, Ariel FeigliniD, Yingtian XieiD, Nikolas KesteniD, Len TaingiD, Joseph PerkinsiD, Shengqing Stan GuiD, Yihao LiiD, Paloma CejasiD, Ningxuan ZhouiD, Rinath M. JeselsohniD, Myles A BrowniD, X. Shirley LiuiD, Henry W. LongiD
Abstract
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. Code availability: https://bitbucket.org/cfce/cobra
- assay: ChIP-seq
- assay: ATAC-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: software / tool
- approach: statistical model
- Citations
- 42
- FWCI
- 2.20
- Field percentile
- top 10%
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