Introduction

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.PurBayes is implemented as an R package, and source code is available for download through CRAN at http://cran.r-project.org/package=PurBayes.larson.nicholas@mayo.eduSupplementary data are available online at Bioinformatics online.

Publications

  1. PurBayes: estimating tumor cellularity and subclonality in next-generation sequencing data.
    Cite this
    Larson NB, Fridley BL, 2013-08-01 - Bioinformatics (Oxford, England)

Credits

  1. Nicholas B Larson
    Developer

    Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, United States of America

  2. Brooke L Fridley
    Investigator

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Summary
AccessionBT000322
Tool TypeApplication
Category
PlatformsLinux/Unix
TechnologiesR
User InterfaceTerminal Command Line
Download Count0
Submitted ByBrooke L Fridley