PyClone: Statistical Inference of Clonal Population Structure in Cancer

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

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Alleles
  • Animals
  • Bayes Theorem*
  • Cluster Analysis*
  • DNA Mutational Analysis / methods
  • Gene Expression Regulation, Neoplastic
  • Humans
  • Models, Biological*
  • Models, Statistical*
  • Mutation
  • Neoplasms / metabolism*
  • Reproducibility of Results
  • Software