Quantifying tumor heterogeneity in whole-genome and whole-exome sequencing data

@article{Oesper2014QuantifyingTH,
  title={Quantifying tumor heterogeneity in whole-genome and whole-exome sequencing data},
  author={Layla Oesper and Gryte Satas and Benjamin J. Raphael},
  journal={Bioinformatics},
  year={2014},
  volume={30 24},
  pages={
          3532-40
        }
}
MOTIVATION Most tumor samples are a heterogeneous mixture of cells, including admixture by normal (non-cancerous) cells and subpopulations of cancerous cells with different complements of somatic aberrations. This intra-tumor heterogeneity complicates the analysis of somatic aberrations in DNA sequencing data from tumor samples. RESULTS We describe an algorithm called THetA2 that infers the composition of a tumor sample-including not only tumor purity but also the number and content of tumor… 

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