Center for Cancer Genomics Research
To transform the diagnosis and treatment of cancer using genomics, CCG implements research programs designed to illuminate cancer biology and generate rich community resources that benefit cancer researchers worldwide. Using a collaborative “team science” approach, CCG engages in three complementary sub-disciplines within cancer genomics: structural genomics, functional genomics, and computational genomics.
Structural genomics identifies alterations in cancer that contribute to cancer growth, metastasis, and recurrence. CCG's structural genomics programs include The Cancer Genome Atlas and TARGET.
Functional genomics studies the role of particular cancer genes and pathways, and develops therapeutic strategies to target them. CCG's functional genomics research includes the Cancer Target Discovery and Development Network and the Human Cancer Models Initiative.
Computational genomics uses statistical and computational approaches to derive insight from big data on cancer. CCG’s Genomic Data Commons, a data-sharing platform for cancer research, makes diverse datasets compatible and accessible for the research community.
NCI’s Genome Characterization Pipeline is an efficient workflow that transforms cancer tissue samples into rich, publicly available genomic and clinical data. By partnering with foremost experts in tissue processing, bioinformatics, and data science, CCG produces and shares high quality, harmonized raw and processed data with researchers worldwide.