Article
Non-coding cancer driver candidates identified with a sample- and position-specific model of the somatic mutation rate.
eLife - 31 Mar 2017
Juul Malene, Bertl Johanna, Guo Qianyun, Nielsen Morten Muhlig, Świtnicki Michał, Hornshøj Henrik, Madsen Tobias, Hobolth Asger, Pedersen Jakob Skou
Abstract excerpt
Non-coding mutations may drive cancer development. Statistical detection of non-coding driver regions is challenged by a varying mutation rate and uncertainty of functional impact. Here, we develop a statistically founded non-coding driver-detection method, ncdDetect, which includes sample-specific mutational signatures, long-range mutation rate variation, and position-specific impact measures. Using ncdDetect,...
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