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

Bioinformatics. 2013 Aug 1;29(15):1888-9. doi: 10.1093/bioinformatics/btt293. Epub 2013 Jun 6.

Abstract

Summary: 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: [email protected]

Supplementary information: Supplementary data are available online at Bioinformatics online.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Bayes Theorem
  • Genetic Variation
  • High-Throughput Nucleotide Sequencing*
  • Humans
  • Neoplasms / genetics*
  • Software