VALT Symposium 2026
This congress, already established as a benchmark for interdisciplinarity in genetics, will once again bring together professionals from multiple areas related to human genetics, with the aim of fostering scientific dialogue, innovation and collaboration around the current and future challenges of the field.
Oxford Nanopore will be exhibiting at VALT Symposium 2026. We will also host a presentation on day 1 of the conference.
Speakers, presentation details and registration below. Please register to save your seat.
Please also visit us at the conference.
Agenda
Agenda (subject to change) | ||
|---|---|---|
Welcome and Introduction | Aino Jarvelin, Associate Director, Sample Technology Bioinformatics | Oxford Nanopore Technologies |
Updates from the cDNA beta test - a comparison of library preparation methods for long read RNA-Seq | Dr. Jonathan Göke, Principal Investigator | Genome Institute of Singapore (A*STAR) |
Long read direct RNA-seq unravels the complex landscape of modification co-occurence on mRNA | Prof. Christoph Dieterich, Bioinformation | Heidelberg University |
TBC | Andre Sim, Field Application Scientist | Oxford Nanopore Technologies |
Speakers
Long-read RNA-sequencing allows the identification and quantification of individual isoforms and their post-transcriptional modifications. One major factor impacting the analysis of long read RNA-Seq data is the method of library preparation. In this presentation, I will introduce bambu and bambu-pipe for analyzing long-read RNA-Seq data across bulk, single-cell, and spatial resolution. I will then present a comparison of different library preparation methods, including new results from the recent beta test of the latest Oxford Nanopore Technologies (ONT) cDNA kit which results in substantially longer reads, impacting transcript discovery and quantification.
Long-read RNA-sequencing allows the identification and quantification of individual isoforms and their post-transcriptional modifications. One major factor impacting the analysis of long read RNA-Seq data is the method of library preparation. In this presentation, I will introduce bambu and bambu-pipe for analyzing long-read RNA-Seq data across bulk, single-cell, and spatial resolution. I will then present a comparison of different library preparation methods, including new results from the recent beta test of the latest Oxford Nanopore Technologies (ONT) cDNA kit which results in substantially longer reads, impacting transcript discovery and quantification.
Jonathan Goeke, Principal Investigator, Genome Institute of Singapore (A*STAR)Advances in direct RNA sequencing (dRNA-seq) have catalyzed the development of multi-modification detection frameworks, shifting the field of epitranscriptomics from cataloging individual marks toward exploring combinatorial regulatory landscapes. Most recent Nanopore-based methods adopt multi-class or multi-label frameworks that leverage shared signal representations to predict multiple modification types, so far primarily limited to m6A, m5C, and pseudouridine (ψ). A key advantage of dRNA-seq is its ability to probe co-occurrence and potential interactions between modifications at single-molecule resolution. We disentangle potential mechanistic relationships by experimental perturbation approaches. So far, systematic studies combining perturbations of two or more modification pathways remain scarce or absent. I will present our latest results on m6A, inosine, and pseudouridine (ψ) patterns.
Advances in direct RNA sequencing (dRNA-seq) have catalyzed the development of multi-modification detection frameworks, shifting the field of epitranscriptomics from cataloging individual marks toward exploring combinatorial regulatory landscapes. Most recent Nanopore-based methods adopt multi-class or multi-label frameworks that leverage shared signal representations to predict multiple modification types, so far primarily limited to m6A, m5C, and pseudouridine (ψ). A key advantage of dRNA-seq is its ability to probe co-occurrence and potential interactions between modifications at single-molecule resolution. We disentangle potential mechanistic relationships by experimental perturbation approaches. So far, systematic studies combining perturbations of two or more modification pathways remain scarce or absent. I will present our latest results on m6A, inosine, and pseudouridine (ψ) patterns.
Christoph Dieterich, Bioinformatician, Heidelberg University
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