THetA: inferring intra-tumor heterogeneity from high-throughput DNA sequencing data

@inproceedings{Oesper2013THetAII,
  title={THetA: inferring intra-tumor heterogeneity from high-throughput DNA sequencing data},
  author={Layla Oesper and Ahmad Mahmoody and Benjamin J. Raphael},
  booktitle={Genome Biology},
  year={2013}
}
Tumor samples are typically heterogeneous, containing admixture by normal, non-cancerous cells and one or more subpopulations of cancerous cells. Whole-genome sequencing of a tumor sample yields reads from this mixture, but does not directly reveal the cell of origin for each read. We introduce THetA (Tumor Heterogeneity Analysis), an algorithm that infers the most likely collection of genomes and their proportions in a sample, for the case where copy number aberrations distinguish… CONTINUE READING
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