Exploring TCGA Pan-Cancer Data at the UCSC Cancer Genomics Browser
Scientific Reports2013Vol. 3(1), pp. 2652–2652
Citations Over TimeTop 10% of 2013 papers
Melissa Cline, Brian Craft, Teresa Swatloski, Mary J. Goldman, Singer Ma, David Haussler, Jingchun Zhu
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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