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Analytical Approaches for ATAC-seq Data Analysis
Jason P Smith1,2, Nathan C Sheffield1,2,3,4
1Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia.
Current Protocols in Human Genetics
|June 17, 2020
Summary
The assay for transposase-accessible chromatin using sequencing (ATAC-seq) offers a fast and cost-effective method for studying chromatin accessibility. This primer guides researchers through ATAC-seq data processing and analysis, recommending computational tools for diverse biological questions.
Area of Science:
- Genomics
- Epigenetics
- Molecular Biology
Background:
- Chromatin accessibility is crucial for understanding gene regulation and DNA-protein interactions.
- The assay for transposase-accessible chromatin using sequencing (ATAC-seq) is a widely adopted method due to its simplicity and cost-effectiveness.
- Increasing availability of ATAC-seq data necessitates standardized analysis approaches.
Purpose of the Study:
- To provide a foundational understanding of ATAC-seq data processing.
- To summarize common analytical methodologies for ATAC-seq data.
- To review computational tools and offer recommendations for analyzing ATAC-seq data.
Main Methods:
- Explanation of ATAC-seq protocol fundamentals.
- Overview of established data processing pipelines.
- Review of computational tools for ATAC-seq analysis.
Main Results:
- Detailed guidance on ATAC-seq data processing steps.
- Categorization of analysis approaches based on research objectives.
- Recommendations for selecting appropriate computational tools.
Conclusions:
- This primer serves as a starting point for researchers new to ATAC-seq analysis.
- It offers a valuable reference for navigating the growing landscape of ATAC-seq data analysis tools and methods.
- Effective analysis of ATAC-seq data can address diverse biological questions, from mapping nucleosomes to identifying regulatory elements.

