Davide Cozzi

VESPA-SS detects somatic structural variants from long-read sequencing data without requiring read mapping or a high-quality germline reference, achieving high F1 scores on cancer cell lines.

The paper introduces PBML, an algorithm for efficiently detecting long-range shared ancestry tracts in large haplotype panels by filtering short, uninformative matches.

The paper introduces pantas, a pangenomic method for detecting and differentially quantifying alternative splicing events using RNA-Seq data, showing competitive accuracy compared to linear reference-based approaches.

The paper investigates how somatic Transformer and sex chromosome karyotype pathways regulate gene expression during Drosophila gonad development, showing their combined and exclusive effects on germ cell development.

ESGq quantifies alternative splicing events across conditions using event splicing graphs, showing consistent results compared to existing tools.

The paper introduces μ-PBWT, a memory-efficient method for haplotype matching, reducing memory usage by up to 25 times and enabling storage of large datasets on a commodity laptop.

The paper presents efficient data structures for storing and querying the positional Burrows-Wheeler Transform (PBWT) to improve memory usage for large haplotype datasets.