Raffaella Rizzi

This paper introduces deepSpecas, a deep learning method for differential analysis of alternative splicing events in RNA-seq samples, achieving higher precision with reduced sensitivity.

RecAlign improves recombination-aware sequence-to-graph mapping by using an A* algorithm with haplotype information and a heuristic function, achieving faster and more efficient performance.

Shark removes irrelevant RNA-Seq reads to improve analysis efficiency without affecting results.

ASGAL aligns RNA-Seq data to a splicing graph to detect novel alternative splicing events, outperforming methods that align to a reference genome.