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


ABSTRACT: 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.

SUBMITTER: Qiu X 

PROVIDER: S-EPMC9039557 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

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

Qiu Xintao X   Feit Avery S AS   Feiglin Ariel A   Xie Yingtian Y   Kesten Nikolas N   Taing Len L   Perkins Joseph J   Gu Shengqing S   Li Yihao Y   Cejas Paloma P   Zhou Ningxuan N   Jeselsohn Rinath R   Brown Myles M   Shirley Liu X X   Long Henry W HW  

Genomics, proteomics & bioinformatics 20210718 4


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 Bi  ...[more]

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