Precision medicine for oncology requires the integration of information from multiple sources, such as various types of genomic data, clinical information, and medical images. Here, we introduce three projects that integrate and analyze genomic and phenotypic data for cancer research and treatment development. The first project is TCGA-Assembler (http://www.compgenome.org/TCGA-Assembler/), an open-source software package that can automatically retrieve, process, and integrate multi-omics data from The Cancer Genome Atlas (TCGA). TCGA provides comprehensive genomics, epigenomics, and proteomics data of more than 30 types of cancer, which create unprecedented opportunities for cancer research. Second, we will introduce Zodiac (http://compgenome.org/zodiac/), a public online database of cancer genomic interactions. Zodiac provides a comprehensive depiction of cancer interactome across the whole genome and multiple molecular layers, which is computationally derived through big data analysis on multi-omics TCGA data. Third, by integrating TCGA data with tumor imaging data from The Cancer Imaging Archive (TCIA), we will present imaging-genomics studies that investigate the relationship between tumor imaging phenotypes and underlying genomic mechanisms of disease development (http://www.compgenome.org/Radiogenomics/).
 
Bio:
Dr. Yitan Zhu is a research scientist in the Program of Computational Genomics & Medicine at North Shore University Health Systems and a Clinician Researcher in the Department of Pathology at the University of Chicago.