Giorgia Migliaccio

MUUMI integrates multi-omics data using statistical meta-analysis and network-based methods to identify robust molecular signatures and interactomes.

OpTiles dynamically defines tiling windows for methylation data based on CpG distribution and variability, improving reliability and annotation of targeted methylation datasets.

This study shows that endothelial cells are sensitive to systemic pro-fibrotic signals and initiate early pro-fibrotic mechanisms in pulmonary fibrosis, independent of other cell types.

This study investigates how polarizing environments affect macrophage gene expression and DNA methylation, revealing long-term regulatory responses and common epigenetic changes across stimuli.