Stefan Mündnich

This study introduces NanoRibolyzer, a long-read nanopore sequencing method to map pre-rRNA processing and modification at single-nucleotide resolution, revealing cleavage sites and modification patterns.

This paper demonstrates real-time transcriptomic analysis using nanopore sequencing for quality control and differential expression in various experimental conditions.

This study evaluates improvements in direct RNA sequencing (DRS) using RNA004 chemistry and modified-base-calling models, showing enhanced throughput, accuracy, and detection of RNA modifications in clinical applications.

ModiDeC is a deep-learning classifier that identifies multiple RNA modifications from direct nanopore sequencing, validated on synthetic data and biological samples.

NanopoReaTA provides a user-friendly tool for real-time RNA-seq analysis of nanopore sequencing data, enabling interactive decision-making during sequencing.