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quaqc: efficient and quick ATAC-seq quality control and filtering
Benjamin J M Tremblay1, Julia I Qüesta1
1Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB, Bellaterra, Barcelona, 08193, Spain.
Bioinformatics (Oxford, England)
|October 30, 2024
Summary
The "quaqc" tool provides efficient, low-memory quality control and read filtering for ATAC-seq next-generation sequencing (NGS) data. Its scalable design supports diverse applications, from single samples to large-scale parallel processing.
Area of Science:
- Genomics
- Bioinformatics
- Molecular Biology
Background:
- Next-generation sequencing (NGS) generates vast amounts of data requiring robust quality control.
- Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq) is a key technique for studying genome accessibility.
- Efficient processing of ATAC-seq data is crucial for large-scale genomic studies.
Purpose of the Study:
- To introduce "quaqc", a novel tool for ATAC-seq specific quality control and read filtering.
- To provide a computationally efficient solution with minimal memory overhead.
- To enable flexible data processing across various computational environments.
Main Methods:
- "quaqc" is implemented in C for high performance.
- A companion R package, "quaqcr", facilitates interactive use and result exploration.
- The software is designed for scalability, supporting single-sample to cluster-based processing.
Main Results:
- "quaqc" achieves ATAC-seq specific quality control and read filtering.
- The tool operates with minimal processing time and extremely low memory requirements.
- Scalable implementation supports diverse use cases from personal laptops to compute clusters.
Conclusions:
- "quaqc" offers an efficient and resource-friendly solution for ATAC-seq data processing.
- The "quaqcr" package enhances usability through interactive analysis.
- The tool is freely available, promoting accessibility in genomic research.

