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Nat Methods. 2014 Apr;11(4):396-8. doi: 10.1038/nmeth.2883. Epub 2014 Mar 16.

PyClone: statistical inference of clonal population structure in cancer.

Author information

1
1] Bioinformatics Graduate Program, University of British Columbia, Vancouver, British Columbia, Canada. [2] Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada.
2
Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada.
3
1] Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada. [2] Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
4
Department of Statistics, University of British Columbia, Vancouver, British Columbia, Canada.

Abstract

We introduce PyClone, a statistical model for inference of clonal population structures in cancers. PyClone is a Bayesian clustering method for grouping sets of deeply sequenced somatic mutations into putative clonal clusters while estimating their cellular prevalences and accounting for allelic imbalances introduced by segmental copy-number changes and normal-cell contamination. Single-cell sequencing validation demonstrates PyClone's accuracy.

PMID:
24633410
PMCID:
PMC4864026
DOI:
10.1038/nmeth.2883
[Indexed for MEDLINE]
Free PMC Article
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