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 related 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 researchers.
This efficient workflow transforms cancer tissue samples into rich, publicly available genomic and clinical data. CCG partners with expert research teams to produce and share high quality, harmonized raw and processed data with researchers worldwide.