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Clustering algorithm for ddPCR data

Bioconductor version: Release (3.19)

The ddPCRclust algorithm can automatically quantify the CPDs of non-orthogonal ddPCR reactions with up to four targets. In order to determine the correct droplet count for each target, it is crucial to both identify all clusters and label them correctly based on their position. For more information on what data can be analyzed and how a template needs to be formatted, please check the vignette.

Author: Benedikt G. Brink [aut, cre], Justin Meskas [ctb], Ryan R. Brinkman [ctb]

Maintainer: Benedikt G. Brink <bbrink at>

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


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.


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Bioconductor LaTeX Style PDF R Script
Reference Manual PDF


biocViews Clustering, Software, ddPCR
Version 1.24.0
In Bioconductor since BioC 3.7 (R-3.5) (6 years)
License Artistic-2.0
Depends R (>= 3.5)
Imports plotrix, clue, parallel, ggplot2, openxlsx, R.utils, flowCore, flowDensity(>= 1.13.3), SamSPECTRAL, flowPeaks
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Source Package ddPCRclust_1.24.0.tar.gz
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