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PyClone: statistical inference of clonal population structure in cancer
Andrew Roth1, Jaswinder Khattra2, Damian Yap2
11] 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.
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.
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