PurBayes statistics

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Citations per year

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Associated diseases

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PurBayes specifications


Unique identifier OMICS_03561
Name PurBayes
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input data The tumor tissue read counts (N and Y) for a set of high-confidence SNVs.
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 2.0
Computer skills Advanced
Version 1.3
Stability Stable
Source code URL https://cran.r-project.org/src/contrib/PurBayes_1.3.tar.gz
Maintained Yes


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  • person_outline Nicholas B. Larson <>

Publication for PurBayes

PurBayes in publications

PMCID: 5748486
PMID: 29130628
DOI: 10.1002/1878-0261.12156

[…] frequencies (afs) were calculated using samtools mpileup. copy number alterations (cnas) and allelic imbalance were estimated using facets (shen and seshan, ). tumor purity was estimated using purbayes (larson and fridley, ) and sequenza (favero et al., ). tumor drivers and potentially druggable targets were identified using the intogen catalog of cancer drivers, available for download […]

PMCID: 4687867
PMID: 26695660
DOI: 10.1371/journal.pone.0145176

[…] a few samples were re-centered so that chromosome 2 had the same copy number. a threshold of |log2r| > 0.5 was used to call a region as amplified or deleted. tumor purity was estimated using purbayes, with some modifications (1). specifically, we modified purbayes to simultaneously identify subclones and estimate purity for each subclone across multiple sequential time points. […]

PMCID: 4587544
PMID: 25822088
DOI: 10.1038/ng.3252

[…] according to the clinical, pathological and genetic features as previously described by guichard et al. (, ). in all hcc samples, the ratio of tumor cells/non-tumor cells was evaluated >50%; the purbayes method estimated an average 70% (range 39-100%) of tumor purity based upon sequencing data (). definition of dmn, early, small and progressed, classic, and poor prognosis hcc is based […]

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PurBayes institution(s)
Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA; Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS, USA
PurBayes funding source(s)
Supported by the Mayo Foundation and the US National Institute of Health (R21 GM86689; P30 CA168524; P20 GM103418).

PurBayes review

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Calvi. C.

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Great, works.