Welcome to Romualdi Lab, our goal is to unravel the biology of life systems through the power of computational methods, specifically leveraging the integration of different omics data.
We develop innovative tools and adopt state-of-the-art computational approaches to investigate molecular alterations in complex diseases and how these alterations might influence disease progression.
A bioinformatics best-practice analysis pipeline for the analysis of shallow whole genome sequencing (sWGS) data for the identification of copy number alterations (CNAs). Try it on git! https://github.com/DIncalciLab/samurai
Here is our preprint https://www.biorxiv.org/content/10.1101/2024.09.30.615766v1
Our new R package for Multi-Omic data integration is finally available. Try it! https://www.bioconductor.org/packages/release/bioc/html/gINTomics.html