Fabian Jetzinger

The paper evaluates normalization methods and quantification pipelines for long-read RNA sequencing across PacBio and ONT platforms, showing platform-specific impacts on accuracy.

This study compares two strategies for combining biologically replicated long-read RNA-seq data to identify transcripts, finding that 'Join & Call' is better for novel isoforms while 'Call & Join' is more efficient for large datasets.

The paper introduces TUSCO, a framework for evaluating transcriptome reconstruction quality using long-read sequencing by assessing precision and sensitivity with a curated set of single-isoform genes.