Long-read sequencing enables comprehensive transcriptome characterization but remains challenging to benchmark due to sequencing errors, sample variability, and the limited scope of existing evaluation strategies. This study introduces TUSCO, a benchmarking framework based on a curated set of single-isoform genes that act as an internal ground truth, enabling robust assessment of precision and sensitivity, including recovery of masked isoforms, without requiring external controls in human and mouse transcriptomes.
- Tianyuan Liu
- Alejandro Paniagua
- Ana Conesa