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Barbell reveals and resolves demultiplexing and trimming issues in Nanopore data

Beeloo, Rick ; Groot Koerkamp, Ragnar 1; Jia, Xiu; Broekhuizen-Stins, Marian J.; van IJken, Lieke; Broens, Els M.; Zomer, Aldert; Dutilh, Bas E.
1 Institut für Angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)

Abstract:

Motivation
Oxford Nanopore sequencing enables long-read analysis for diverse applications, but artefacts introduced by Nanopore barcoding are poorly characterized and can compromise demultiplexing accuracy and downstream analyses.

Results
Using a rapid barcoding experiment on 66 diagnostic samples, we found that only 83% of reads followed the expected single-barcode configuration, while 17% showed complex barcode attachments. We observed similar patterns in public datasets, and also in native barcoding datasets where only 30%–70% of the reads had barcodes on both ends. Widely used demultiplexers, including Dorado, fail to resolve these cases, leaving ∼10% of our rapid barcoding reads partially trimmed and contaminated with adapter fragments. We developed Barbell, a pattern-aware demultiplexer that is designed to detect complex barcode configurations. Barbell reduced contaminated reads from >400 000 (Dorado/Flexiplex) to 166 (99.96% reduction), minimized barcode bleeding, and supports custom experimental designs such as dual-end barcodes and shorter barcodes (e.g. Illumina barcodes). We further show that such contamination is widespread in public databases, with Nanopore sequences detected in hundreds of NCBI entries, some of which are responsible for artificial taxonomic connections.
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Verlagsausgabe §
DOI: 10.5445/IR/1000194953
Veröffentlicht am 03.07.2026
Originalveröffentlichung
DOI: 10.1093/bioinformatics/btag349
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik (IAI)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 01.06.2026
Sprache Englisch
Identifikator ISSN: 1367-4803, 0266-7061, 1367-4811, 1460-2059
KITopen-ID: 1000194953
Erschienen in Bioinformatics
Verlag Oxford University Press (OUP)
Band 42
Heft 6
Nachgewiesen in OpenAlex
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