Exploring TCGA Pan-Cancer Data at the UCSC Cancer Genomics Browser
Melissa Cline(University of California, Santa Cruz), Brian Craft(University of California, Santa Cruz), Teresa Swatloski(University of California, Santa Cruz), Mary J. Goldman(University of California, Santa Cruz), Singer Ma(University of California, Santa Cruz), David Haussler(University of California, Santa Cruz), Jingchun Zhu(University of California, Santa Cruz)
Cited by 290Open Access
Abstract
The UCSC Cancer Genomics Browser (https://genome-cancer.ucsc.edu) offers interactive visualization and exploration of TCGA genomic, phenotypic, and clinical data, as produced by the Cancer Genome Atlas Research Network. Researchers can explore the impact of genomic alterations on phenotypes by visualizing gene and protein expression, copy number, DNA methylation, somatic mutation and pathway inference data alongside clinical features, Pan-Cancer subtype classifications and genomic biomarkers. Integrated Kaplan-Meier survival analysis helps investigators to assess survival stratification by any of the information.
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