ArticleGenome biology2026
DeepSAP: improved RNA-seq alignment by integrating transcriptome guidance with transformer-based splice junction scoring.
Article in Genome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Improving spliced alignment by modeling splice sites with deep learning.Algorithms for molecular biology : AMB · 2026Article
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5 authors.
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Abstract
Advancements in high-throughput sequencing have revolutionized transcriptomics, enabling insights into gene expression, splicing, and fusions. However, RNA-seq analysis remains challenging due to complex splice junctions, multi-mapped reads, and chimeric events. We present DeepSAP, which improves RNA-seq alignment by integrating GSNAP's transcriptome-guided genomic alignment with transformer-based splice-junction scoring. This synergy enhances splice-junction detection, indel identification, and resolution of complex splicing patterns. On the Baruzzo human simulated benchmark across complexities, DeepSAP achieves the highest mean F1-score for splice junction detection, outperforming DRAGEN, novoSplice, STAR, HISAT2, and Subjunc. DeepSAP captures intricate sequence patterns surrounding splice donor and acceptor sites, advancing RNA-seq analysis.
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