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twoddpcr

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

Bioconductor version: 3.24 · Package version: 1.37.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("twoddpcr")

Details

MaintainerAnthony Chiu <anthony@achiu.me>
AuthorAnthony Chiu [aut, cre]
LicenseGPL-3
URLhttp://github.com/CRUKMI-ComputationalBiology/twoddpcr/
Bug Reportshttp://github.com/CRUKMI-ComputationalBiology/twoddpcr/issues/
Downloads rank499
Source branchdevel
biocViewsClassification, Software, ddPCR

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagetwoddpcr_1.37.0.tar.gz
Windows binary (x86_64)twoddpcr_1.37.0.zip
macOS binary (arm64)twoddpcr_1.37.0.tgz
macOS binary (x86_64)twoddpcr_1.37.0.tgz
Dependencies

Depends: R (>= 3.4)

Imports: class, ggplot2, hexbin, methods, scales, shiny, stats, utils, RColorBrewer, S4Vectors

Suggests: devtools, knitr, reshape2, rmarkdown, testthat, BiocStyle