WarpDemuX-tRNA: barcode multiplexing for nanopore tRNA sequencing

Transfer RNA (tRNA) plays an essential role in protein translation, and tRNA modifications are important to their function. Recently, nanopore direct RNA sequencing (dRNA-seq) has shown promising results in the detection of complex tRNA modifications. However, its wider adoption in the tRNA field has been limited by a lack of (de)multiplexing solutions. Here, we present WarpDemuX-tRNA: an extension to the WarpDemuX method specifically optimized for multiplexed nanopore tRNA sequencing. Using consensus-based signal analysis using (soft) dynamic time warping and barycenter averaging, our approach improves barcode feature generation and achieves more robust barcode identification. WarpDemuX-tRNA outperforms the original method and achieves 99% precision and 95% recovery for four barcodes, while reducing computational complexity and runtime to 6 min per one million reads. WarpDemuX-tRNA is an open-source and free-to-use solution to high-throughput nanopore tRNA sequencing, facilitating more accessible, cost-effective, and high-throughput studies of tRNA modifications and their regulatory mechanisms.

Authors

Institutions

Publication Details

Journal
Nucleic Acids Research
Published
2025-08-20
DOI
https://doi.org/10.1093/nar/gkaf873
Citations
4
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
3.22

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

WarpDemuX-tRNA: barcode multiplexing for nanopore tRNA sequencing

Wiep van der Toorn, Isabel S. Naarmann‐de Vries, Wang Liu-wei, Christoph Dieterich et al.
4 citations
Nucleic Acids Research
Genomics and Phylogenetic Studies
3.22
article

WarpDemuX-tRNA: barcode multiplexing for nanopore tRNA sequencing

Wiep van der Toorn, Isabel S. Naarmann‐de Vries, Wang Liu-wei, Christoph Dieterich, Max von Kleist
article en
4 citations

Abstract

Transfer RNA (tRNA) plays an essential role in protein translation, and tRNA modifications are important to their function. Recently, nanopore direct RNA sequencing (dRNA-seq) has shown promising results in the detection of complex tRNA modifications. However, its wider adoption in the tRNA field has been limited by a lack of (de)multiplexing solutions. Here, we present WarpDemuX-tRNA: an extension to the WarpDemuX method specifically optimized for multiplexed nanopore tRNA sequencing. Using consensus-based signal analysis using (soft) dynamic time warping and barycenter averaging, our approach improves barcode feature generation and achieves more robust barcode identification. WarpDemuX-tRNA outperforms the original method and achieves 99% precision and 95% recovery for four barcodes, while reducing computational complexity and runtime to 6 min per one million reads. WarpDemuX-tRNA is an open-source and free-to-use solution to high-throughput nanopore tRNA sequencing, facilitating more accessible, cost-effective, and high-throughput studies of tRNA modifications and their regulatory mechanisms.

Nucleic Acids ResearchVol. 53(17)
Heidelberg University (DE), Robert Koch Institute (DE), University Hospital Heidelberg (DE), German Centre for Cardiovascular Research (DE), International Max Planck Research School for Advanced Methods in Process and Systems Engineering (DE), Freie Universität Berlin (DE)
Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, European Commission, Deutsche Forschungsgemeinschaft, Berlin Mathematics Research Center MATH+, Robert Koch Institut
Openalex Percentile: Top 8%
Genomics and Phylogenetic Studies
3.22
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.