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Visualizing and interpreting cancer genomics data via the Xena platform

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Fig. 1: Xena’s architecture to securely join public and private data.
Fig. 2: An example Xena Browser Visual Spreadsheet examining published ERG–TMPRSS2 (ETS transcription factor–transmembrane serine protease 2) fusion calls in TCGA PRAD (prostate cancer) by combining data from local and public Xena Hubs.


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Research reported in this publication was supported by the National Cancer Institute of the US National Institutes of Health under award numbers 5U24CA180951-04 and 5U24CA210974-02. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. This project has also been made possible in part by grant number 2018-182812 from the Chan Zuckerberg Initiative DAF, an advised fund of the Silicon Valley Community Foundation. We would also like to thank AWS Cloud Credits for Research and Google Summer of Code.

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Correspondence to Mary J. Goldman.

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Editorial note: This article has been peer reviewed.

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Supplementary Figs. 1–10, Supplementary Table 1, Supplementary Note and Supplementary Methods

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Goldman, M.J., Craft, B., Hastie, M. et al. Visualizing and interpreting cancer genomics data via the Xena platform. Nat Biotechnol 38, 675–678 (2020).

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