You can manage bookmarks using lists, please log in to your user account for this.
Media type:
E-Article
Title:
Alternative splicing analysis benchmark with DICAST
Contributor:
Fenn, Amit;
Tsoy, Olga;
Faro, Tim;
Rößler, Fanny L M;
Dietrich, Alexander;
Kersting, Johannes;
Louadi, Zakaria;
Lio, Chit Tong;
Völker, Uwe;
Baumbach, Jan;
Kacprowski, Tim;
List, Markus
Published:
Oxford University Press (OUP), 2023
Published in:
NAR Genomics and Bioinformatics, 5 (2023) 2
Language:
English
DOI:
10.1093/nargab/lqad044
ISSN:
2631-9268
Origination:
Footnote:
Description:
AbstractAlternative 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.