Computational Biology Group
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.
Latest News
Our new shiny application to explore the TCGA Diagnostic Image Database is available.
👉 Install the R/Bioconductor Package
PhD Programme in Biosciences
Curriculum: Genetics, Genomics and Bioinformatics
Crosstalk of Cancer Genome and Tumor Microenvironment in Ovarian Cancer Metastases at Single-Cell Resolution
Contact: Prof. Chiara Romualdi – chiara.romualdi@unipd.it
Ovarian cancer is the leading cause of death from gynecological malignancies and is frequently diagnosed at an advanced metastatic stage. Metastases form a complex ecosystem of diverse, interacting cells, whose genomic and transcriptomic heterogeneity shapes the tumor microenvironment (TME) and drives tumor aggressiveness. Despite extensive research, the mechanisms underlying tumor–TME crosstalk remain poorly understood. This PhD project aims to investigate the dynamic interplay between cancer genomes and TME composition in primary tumors and matched metastases across different histological subtypes. The selected candidate will use computational approaches to analyze genomic and transcriptomic data at single-cell resolution, comparing primary and metastatic tumor sites.
