Inference of Tumor Phylogenies with Improved Somatic Mutation Discovery

@article{Salari2013InferenceOT,
  title={Inference of Tumor Phylogenies with Improved Somatic Mutation Discovery},
  author={Raheleh Salari and Syed Shayon Saleh and Dorna Kashef Haghighi and David Khavari and Daniel E. Newburger and Robert B. West and Arend Sidow and Serafim Batzoglou},
  journal={Journal of computational biology : a journal of computational molecular cell biology},
  year={2013},
  volume={20 11},
  pages={
          933-44
        }
}
Next-generation sequencing technologies provide a powerful tool for studying genome evolution during progression of advanced diseases such as cancer. Although many recent studies have employed new sequencing technologies to detect mutations across multiple, genetically related tumors, current methods do not exploit available phylogenetic information to improve the accuracy of their variant calls. Here, we present a novel algorithm that uses somatic single-nucleotide variations (SNVs) in… 
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