A Distributed Workflow for Long Reads Self-correction

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Riccardo Ceccaroni, Lorenzo Di Rocco, Umberto Ferraro Petrillo, Pierpaolo Brutti

Published: 01 Jan 2024, Last Modified: 07 Oct 2025Euro-Par Workshops (2) 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Third-Generation Sequencing (TGS) technologies have enabled the extraction of longer nucleotide sequences than NGS technologies, allowing for a deeper understanding of genome structure. Despite becoming pivotal for untangling genetic complexity, such long reads are prone to high sequencing error rates (ranging from 10\(\%\) to 30\(\%\)), making their correction a practical challenge in many computational genomics pipelines.