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

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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:

larson.nicholas@mayo.edu

Supplementary information:

Supplementary data are available online at Bioinformatics online.

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