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
- Wiep van der Toorn (ORCID: https://orcid.org/0000-0002-5060-8626)
- Isabel S. Naarmann‐de Vries (ORCID: https://orcid.org/0000-0002-8115-5412)
- Wang Liu-wei (ORCID: https://orcid.org/0000-0002-9872-4140)
- Christoph Dieterich (ORCID: https://orcid.org/0000-0001-9468-6311)
- Max von Kleist (ORCID: https://orcid.org/0000-0001-6587-6394)
Institutions
- 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)
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
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology
- European Commission
- Deutsche Forschungsgemeinschaft
- Berlin Mathematics Research Center MATH+
- Robert Koch Institut