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Identify likely duplicate samples from genomic or meta-data

Bioconductor version: Release (3.19)

The main function is doppelgangR(), which takes as minimal input a list of ExpressionSet object, and searches all list pairs for duplicated samples. The search is based on the genomic data (exprs(eset)), phenotype/clinical data (pData(eset)), and "smoking guns" - supposedly unique identifiers found in pData(eset).

Author: Levi Waldron [aut, cre], Markus Reister [aut, ctb], Marcel Ramos [ctb]

Maintainer: Levi Waldron <lwaldron.research at>

Citation (from within R, enter citation("doppelgangR")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

doppelgangR vignette HTML R Script
Reference Manual PDF


biocViews GeneExpression, ImmunoOncology, Microarray, QualityControl, RNASeq, Software
Version 1.32.0
In Bioconductor since BioC 3.3 (R-3.3) (8 years)
License GPL (>=2.0)
Depends R (>= 3.5.0), Biobase, BiocParallel
Imports sva, impute, digest, mnormt, methods, grDevices, graphics, stats, SummarizedExperiment, utils
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Follow Installation instructions to use this package in your R session.

Source Package doppelgangR_1.32.0.tar.gz
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macOS Binary (arm64) doppelgangR_1.32.0.tgz
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