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PyClone: statistical inference of clonal population structure in cancer.


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.

SUBMITTER: Roth A 

PROVIDER: S-EPMC4864026 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature

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PyClone: statistical inference of clonal population structure in cancer.

Roth Andrew A   Khattra Jaswinder J   Yap Damian D   Wan Adrian A   Laks Emma E   Biele Justina J   Ha Gavin G   Aparicio Samuel S   Bouchard-Côté Alexandre A   Shah Sohrab P SP  

Nature methods 20140316 4


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. ...[more]

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