DOI: 10.18129/B9.bioc.twoddpcr    

This is the development version of twoddpcr; to use it, please install the devel version of Bioconductor.

Classify 2-d Droplet Digital PCR (ddPCR) data and quantify the number of starting molecules

Bioconductor version: Development (3.10)

The twoddpcr package takes Droplet Digital PCR (ddPCR) droplet amplitude data from Bio-Rad's QuantaSoft and can classify the droplets. A summary of the positive/negative droplet counts can be generated, which can then be used to estimate the number of molecules using the Poisson distribution. This is the first open source package that facilitates the automatic classification of general two channel ddPCR data. Previous work includes 'definetherain' (Jones et al., 2014) and 'ddpcRquant' (Trypsteen et al., 2015) which both handle one channel ddPCR experiments only. The 'ddpcr' package available on CRAN (Attali et al., 2016) supports automatic gating of a specific class of two channel ddPCR experiments only.

Author: Anthony Chiu [aut, cre]

Maintainer: Anthony Chiu <anthony at>

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


To install this package, start R (version "3.6") and enter:

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

# The following initializes usage of Bioc devel


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:



HTML R Script twoddpcr: A package for Droplet Digital PCR analysis
PDF   Reference Manual


biocViews Classification, Software, ddPCR
Version 1.9.0
In Bioconductor since BioC 3.5 (R-3.4) (2 years)
License GPL-3
Depends R (>= 3.4)
Imports class, ggplot2, hexbin, methods, scales, shiny, stats, utils, RColorBrewer, S4Vectors
Suggests devtools, knitr, reshape2, rmarkdown, testthat, BiocStyle
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package twoddpcr_1.9.0.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan) twoddpcr_1.9.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Package Short Url
Package Downloads Report Download Stats

Documentation »


R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: