Journal
NATURE METHODS
Volume 11, Issue 4, Pages 396-+Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.2883
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Funding
- Canadian Institutes for Health Research (CIHR)
- Genome Canada
- Genome British Columbia
- Canadian Cancer Society Research Institute
- Canadian Breast Cancer Foundation
- Michael Smith Foundation for Health Research
- CIHR Banting scholarship
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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.
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