PurBayes: Estimating tumor cellularity and subclonality in next-generation sequencing data

Nicholas B. Larson, Brooke L. Fridley

Research output: Contribution to journalArticle

51 Scopus citations

Abstract

We have developed a novel Bayesian method, PurBayes, to estimate tumor purity and detect intratumor heterogeneity based on next-generation sequencing data of paired tumor-normal tissue samples, which uses finite mixture modeling methods. We demonstrate our approach using simulated data and discuss its performance under varying conditions.Availability: PurBayes is implemented as an R package, and source code is available for download through CRAN at http://cran.r-project.org/package=PurBayes.Contact: Supplementary information: Supplementary data are available online at Bioinformatics online.

Original languageEnglish (US)
Pages (from-to)1888-1889
Number of pages2
JournalBioinformatics
Volume29
Issue number15
DOIs
StatePublished - Aug 1 2013

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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