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. 2009 Apr;6(4):239-40.
doi: 10.1038/nmeth0409-239.

The UCSC Cancer Genomics Browser

Jingchun Zhu, J Zachary Sanborn, Stephen Benz, Christopher Szeto, Fan Hsu, Robert M Kuhn, Donna Karolchik, John Archie, Marc E Lenburg, Laura J Esserman, W James Kent, David Haussler, Ting Wang

The UCSC Cancer Genomics Browser

Jingchun Zhu et al. Nat Methods. 2009 Apr.
No abstract available

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Figures

Figure 1
Figure 1
The functionality of UCSC Cancer Genomics Browser. (a) Browser gateway menu. (b–e) Screenshots of four whole genome–oriented views of copy number abnormality (CNA) data from a cohort of Californian individuals with breast cancer assessed using bacteria artificial chromosome (BAC) array comparative genomic hybridization (b), a cohort of European individuals with breast cancer using an Agilent oligo array (c) and a disjoint cohort of individuals with glioblastoma made available through the Cancer Genome Atlas consortium and assayed on an Agilent 244A CGH array (d) and Illumina 550K SNP array (e). Experiments were performed separately at Lawrence Berkeley National Laboratory (LBL), University of Cambridge, Harvard University and Stanford University (displayed at top of each panel). (f) Zoomed-in view of the data from e on chromosome 8–12. (g) Clinical heatmap. Data from blood-derived samples were considered as control and given clinical feature ‘normal’.
See this image and copyright information in PMC

References

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