Sema is a bioinformatics tool to enable analyses of large multidimensional omics datasets using powerful tools and intuitive visualizationStart using Sema
Some questions you can ask and discover with Sema
Which pathway activations predict clinical resistance to chemotherapy in lung and breast cancers?
What are the common and distinct molecular mechanisms of immunotherapy resistance in different cancers?
Which genes are overexpressed in, and synthetically lethal with, KRAS mutations in lung cancers?
What is the single-cell popupation structure in pre- and post-treatment CD8+ T-cells in melanoma?
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A limited version of Sema is free for academic use. Send us an email from your institutional account to receive your license