We develop software that uses state-of-the-art sequencing technology to identify variants that contribute to disease, including small mutations, structural variations, epigenetic modifications and gene-protein-phosphoprotein expression changes. We then validate computational predictions using cell-based assays and high throughput screenings. By looking at thousands of tumors across many forms of cancer, we gain novel insight into the initiation, progression, metastasis and treatment of cancer at the gene, pathway and cell level. Ultimately, our work contributes to a deeper understanding cancer and more effective treatments.
Ding lab projects
Pediatric Cancer Genome Project: Understanding the genetic origins of childhood cancers.
The Cancer Genome Atlas: A multi-institutional effort to catalog genetic changes found in various human cancers.