Precision cancer medicine leverages advances in genomics and computational methods towards a better life. The genomic data have to be integrated with diverse biomedical information and analyzed through biologically interpretable computational methods, before they can lead to biomedical discoveries.
In this presentation, I will discuss our research on the integration of diverse biomedical data to understand ovarian cancer. First, I will describe a genome-to-disease bioinformatic pipeline that identifies the underlying cause of ovarian cancer initiation and development. Next, I will present an integrative multi-omics analysis that decipher the genomic landscape of ovarian tumor recurrence. These multi-omics approaches explore fundamental aspects of cancer biology and transform the way of scientific discovery.