Identification of significantly mutated regions across cancer types highlights a rich landscape of functional molecular alterations

@inproceedings{Araya2016IdentificationOS,
  title={Identification of significantly mutated regions across cancer types highlights a rich landscape of functional molecular alterations},
  author={Carlos L. Araya and Can Cenik and Jason A. Reuter and Gert Kiss and Vijay S. Pande and Michael P. Snyder and William J Greenleaf},
  booktitle={Nature Genetics},
  year={2016}
}
Cancer sequencing studies have primarily identified cancer driver genes by the accumulation of protein-altering mutations. An improved method would be annotation independent, sensitive to unknown distributions of functions within proteins and inclusive of noncoding drivers. We employed density-based clustering methods in 21 tumor types to detect variably sized significantly mutated regions (SMRs). SMRs reveal recurrent alterations across a spectrum of coding and noncoding elements, including… CONTINUE READING
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