PurBayes: estimating tumor cellularity and subclonality in next-generation sequencing data.
basic_science · Level V
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- Record sourced from PubMed, PMID 23749958.
- Also identified by DOI 10.1093/bioinformatics/btt293 and PMC identifier 3712213.
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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. 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.edu Supplementary data are available online at Bioinformatics online.
Medical subject headings
- High-Throughput Nucleotide Sequencing
- Neoplasms