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bioRxiv · 10.64898/2026.07.17.738618

seqsizzle: decoding complex barcode and adapter architectures in long-read sequencing data

Wang, C.·Ritchie, M. E.·Davidson, N. M.
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Abstract

Visualizing and troubleshooting long-read sequencing data is a common task when analyzing novel protocols, but identifying several primer sequences from reads exceeding 2 kb with fuzzy matching is challenging for the human eye. Here, we present seqsizzle, a cross-platform terminal user interface (TUI) based tool for convenient visualization of long-read sequencing data directly from the command-line, applicable to all sequencing technologies that produce FASTQ or FASTA output. seqsizzle allows primer sequences to be matched with user-specified fuzzy matching thresholds and highlighted with configurable colors. Additional styling can be applied to distinguish mismatches and quality scores, allowing convenient quality control of long-read sequencing data. To further aid troubleshooting, seqsizzle includes a built-in $k$-mer enrichment analysis, enabling the detection of unknown primer sequences or unexpected artifacts, which can then be reviewed via manual inspection. seqsizzle is implemented in Rust and is available open-source from https://github.com/ChangqingW/SeqSizzle.

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Wang, C., Ritchie, M. E., Davidson, N. M.. 2026-07-21. seqsizzle: decoding complex barcode and adapter architectures in long-read sequencing data. https://doi.org/10.64898/2026.07.17.738618

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