Large-scale cancer genome projects provide an extraordinary mine of molecular information on a vast range of cancer types and samples and offer the exciting potential of understanding the molecular mechanisms of cancer. Much knowledge is however still hidden in the data and this significantly reduces the effective contribution of cancer molecular profiling to the personalised medicine agenda. In my lecture I will review some of the technical, analytical and scientific challenges in cancer genomic data analysis. I will also provide examples of how this type of analysis can contribute effectively to unravel cancer driver mechanisms and potential targets for anti-cancer therapy.
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