The UCSC Cancer Genomics Browser: update 2015.
The UCSC Cancer Genomics Browser (https://genome-cancer.ucsc.edu/) is a web-based application that integrates relevant data, analysis and visualization, allowing users to easily discover and share their research observations. Users can explore the relationship between genomic alterations and phenotypes by visualizing various -omic data alongside clinical and phenotypic features, such as age, subtype classifications and genomic biomarkers. The Cancer Genomics Browser currently hosts 575 public datasets from genome-wide analyses of over 227,000 samples, including datasets from TCGA, CCLE, Connectivity Map and TARGET. Users can download and upload clinical data, generate Kaplan-Meier plots dynamically, export data directly to Galaxy for analysis, plus generate URL bookmarks of specific views of the data to share with others.
Center for Biomolecular Science and Engineering, University of California at Santa Cruz, Santa Cruz, CA 95064, USA mary@soe.ucsc.edu.
Mary
M
Goldman
Center for Biomolecular Science and Engineering, University of California at Santa Cruz, Santa Cruz, CA 95064, USA.
Brian
B
Craft
Center for Biomolecular Science and Engineering, University of California at Santa Cruz, Santa Cruz, CA 95064, USA.
Teresa
T
Swatloski
Center for Biomolecular Science and Engineering, University of California at Santa Cruz, Santa Cruz, CA 95064, USA.
Melissa
M
Cline
Center for Biomolecular Science and Engineering, University of California at Santa Cruz, Santa Cruz, CA 95064, USA.
Olena
O
Morozova
Center for Biomolecular Science and Engineering, University of California at Santa Cruz, Santa Cruz, CA 95064, USA.
Mark
M
Diekhans
Howard Hughes Medical Institute, University of California at Santa Cruz, Santa Cruz, CA, USA.
David
D
Haussler
Center for Biomolecular Science and Engineering, University of California at Santa Cruz, Santa Cruz, CA 95064, USA mary@soe.ucsc.edu.
Jingchun
J
Zhu
D045744:Cell Line, Tumor; D002648:Child; D030541:Databases, Genetic; D023281:Genomics; D006801:Humans; D020407:Internet; D053208:Kaplan-Meier Estimate; D009369:Neoplasms / Q000175:diagnosis / Q000235:genetics* / Q000401:mortality; D010641:Phenotype