Nick Schurch

This study uses nanopore direct RNA sequencing to map the m6A epitranscriptome in Arabidopsis, revealing its role in mRNA processing and circadian rhythms.

This study evaluates DGE tools' performance in Arabidopsis thaliana, finding that their false positive rates are not strongly affected by transcriptome complexity.

RoSA detects and corrects spurious antisense RNA-seq reads in strand-specific datasets, improving accuracy in antisense transcription analysis.

RATs identifies differential transcript usage from transcript abundance estimates, finds novel events, and highlights annotation dependency issues in RNA-seq data.