Center for Biomolecular Science and Engineering, University of California, Santa Cruz.
Sci Rep. 2013 Oct 2;3:2652. doi: 10.1038/srep02652.
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.
UCSC 癌症基因组浏览器（https://genome-cancer.ucsc.edu）提供交互式可视化和 TCGA 基因组、表型和临床数据的探索，这些数据由癌症基因组图谱研究网络生成。研究人员可以通过可视化基因和蛋白质表达、拷贝数、DNA 甲基化、体细胞突变和途径推断数据以及临床特征、泛癌亚型分类和基因组生物标志物，来探索基因组改变对表型的影响。集成的 Kaplan-Meier 生存分析有助于调查人员通过任何信息评估生存分层。
