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TopoQual polishes circular consensus sequencing data and accurately predicts quality scores
Minindu Weerakoon1, Sangjin Lee2, Emily Mitchell2,3,4
1Auburn University, Auburn, AL, 36849, USA. wmw0016@auburn.edu.
BMC Bioinformatics
|January 15, 2025
Summary
TopoQual enhances PacBio HiFi sequencing data accuracy for somatic variant calling. This novel tool corrects errors and improves base quality predictions, enabling more reliable genomic analysis.
Area of Science:
- Genomics
- Bioinformatics
Background:
- PacBio circular consensus sequencing (CCS), or HiFi technology, produces long, highly accurate DNA reads.
- Current HiFi data quality is sufficient for genome assembly and germline variant calling.
- However, quality score accuracy is limited for somatic variant calling on single reads.
Purpose of the Study:
- To introduce TopoQual, a novel tool to improve base quality prediction accuracy for PacBio HiFi sequencing data.
- To address limitations in somatic variant calling using HiFi technology.
Main Methods:
- TopoQual utilizes partial order alignments (POA), topologically parallel bases, and deep learning algorithms.
- The tool is designed to polish consensus sequences generated by PacBio HiFi technology.
Main Results:
- TopoQual corrects approximately 31.9% of errors in PacBio consensus sequences.
- It validates base qualities up to q59 (one error in 0.9 million bases).
- These improvements enhance the reliability of somatic variant calling with HiFi data.
Conclusions:
- TopoQual significantly advances genomics by improving base quality predictions for PacBio HiFi data.
- The tool enables confident and accurate somatic variant calling by correcting errors and achieving high base quality validation.
- TopoQual opens new possibilities for precise genomic analysis in research and clinical applications.
