The advent of next generation sequencing has resulted in the generation of petabytes of multi-dimensional information, but the access and analyses of this data remains challenging. This difficulty is exemplified when we consider data generated by the efforts of The Cancer Genomics Atlas (TCGA) network. Historically, the only means for gaining insight from the TCGA data was to download the complete TCGA repository, which can require several weeks with a highly optimized network connection, followed by analyses in a very expensive high performance computational cluster.
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