dc.contributor.author
Toorn, Wiep van der
dc.contributor.author
Naarmann-de Vries, Isabel S.
dc.contributor.author
Liu-Wei, Wang
dc.contributor.author
Dieterich, Christoph
dc.contributor.author
Kleist, Max von
dc.date.accessioned
2025-10-24T08:39:42Z
dc.date.available
2025-10-24T08:39:42Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/49974
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-49699
dc.description.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.
en
dc.format.extent
10 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by-nc/4.0/
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie
dc.title
WarpDemuX-tRNA: barcode multiplexing for nanopore tRNA sequencing
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
gkaf873
dcterms.bibliographicCitation.doi
10.1093/nar/gkaf873
dcterms.bibliographicCitation.journaltitle
Nucleic Acids Research
dcterms.bibliographicCitation.number
17
dcterms.bibliographicCitation.volume
53
dcterms.bibliographicCitation.url
https://doi.org/10.1093/nar/gkaf873
refubium.affiliation
Mathematik und Informatik
refubium.affiliation.other
Institut für Mathematik

refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1362-4962
refubium.resourceType.provider
WoS-Alert