Two examples of CNVs are “deletion” and “duplication.” These variations can result in loss of function of critical genes, increasing the risk or setting the stage for cancer’s progression. You can use your data science skills to process these data, aligning your “reads” to a reference genome, filtering out background noise, mapping CNVs to known genes and regulatory regions, and visualizing the results. This enables you to further assess the biological impact of these changes.
Find training resources, opportunities to collaborate, advice from NCI data science experts, and ways to network and engage with the cancer data science community on our NCI Cancer Data Science page!