seqsizzle: decoding complex barcode and adapter architectures in long-read sequencing data
- 1Walter and Eliza Hall Institute of Medical Research
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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BibTeX
@misc{wang2026seqsizzle,
title = {{seqsizzle: decoding complex barcode and adapter architectures in long-read sequencing data}},
author = {C. Wang and M. E. Ritchie and N. M. Davidson},
howpublished = {bioRxiv},
year = {2026},
month = jul,
doi = {10.64898/2026.07.17.738618},
url = {https://www.biorxiv.org/content/10.64898/2026.07.17.738618v2},
note = {CC BY},
}
RIS
TY - UNPB
TI - seqsizzle: decoding complex barcode and adapter architectures in long-read sequencing data
AU - C. Wang
AU - M. E. Ritchie
AU - N. M. Davidson
PY - 2026
DA - 2026/07/17
PB - bioRxiv
DO - 10.64898/2026.07.17.738618
UR - https://www.biorxiv.org/content/10.64898/2026.07.17.738618v2
AB - 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.
ER -