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.
Our new R package for Multi-Omic data integration is finally available. Try it on git! https://github.com/angelovelle96/gINTomics
Our work represents the first attempt to characterize isomiRs expression in Stage I EOC within and across subtypes and to contextualize their alterations in the framework of the large genomic heterogeneity of this tumor. https://doi.org/10.1002/ijc.34408