Biomaterial Database

Alternative splicing analysis benchmark with DICAST. 2023

Amit Fenn, and Olga Tsoy, and Tim Faro, and Fanny L M Rößler, and Alexander Dietrich, and Johannes Kersting, and Zakaria Louadi, and Chit Tong Lio, and Uwe Völker, and Jan Baumbach, and Tim Kacprowski, and Markus List

Chair of Experimental Bioinformatics, Technical University of Munich, 85354 Freising, Germany.

Alternative splicing is a major contributor to transcriptome and proteome diversity in health and disease. A plethora of tools have been developed for studying alternative splicing in RNA-seq data. Previous benchmarks focused on isoform quantification and mapping. They neglected event detection tools, which arguably provide the most detailed insights into the alternative splicing process. DICAST offers a modular and extensible framework for analysing alternative splicing integrating eleven splice-aware mapping and eight event detection tools. We benchmark all tools extensively on simulated as well as whole blood RNA-seq data. STAR and HISAT2 demonstrated the best balance between performance and run time. The performance of event detection tools varies widely with no tool outperforming all others. DICAST allows researchers to employ a consensus approach to consider the most successful tools jointly for robust event detection. Furthermore, we propose the first reporting standard to unify existing formats and to guide future tool development.