Welcome to OncoDB!
OncoDB2.0 is a robust database designed for cancer researchers, offering integrated multi-omic data for approximately 10,000 patients across 33 cancer types. It encompasses gene expression, DNA methylation, somatic mutations, proteomic profiles, and chromatin accessibility, drawing from TCGA, GTEx, and CPTAC projects. Users can compare gene expression, DNA methylation, and protein levels between tumor and normal tissues, identifying differentially expressed genes and proteins, and examining gene-to-gene correlations. The platform also provides oncogene mutation profiles and allows for survival analysis based on gene expression and methylation, linked to clinical parameters. Furthermore, OncoDB2.0 facilitates the exploration of multi-omic correlations, such as gene expression with DNA methylation, and their variations with mutation status. Beyond cancer, the database extends its analytical capabilities to include six major oncoviruses, offering insights into their impact on gene expression, methylation, and patient survival.

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Reference:

  • Tang G, Liu X, Cho M, Li Y, Tran D, Wang X (2024) Pan-cancer discovery of somatic mutations from RNA sequencing data. Communications Biology, 7(1):619

  • Tang G, Cho M, Wang X (2022) OncoDB: an interactive online database for analysis of gene expression and viral infection in cancer. Nucleic Acids Research, 50(D1):D1334-D1339.