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ddPCRclust

Clustering algorithm for ddPCR data

Bioconductor version: 3.24 · Package version: 1.33.0

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.

Installation

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

BiocManager::install("ddPCRclust")

Details

MaintainerBenedikt G. Brink <bbrink@cebitec.uni-bielefeld.de>
AuthorBenedikt G. Brink [aut, cre], Justin Meskas [ctb], Ryan R. Brinkman [ctb]
LicenseArtistic-2.0
URLhttps://github.com/bgbrink/ddPCRclust
Bug Reportshttps://github.com/bgbrink/ddPCRclust/issues
Downloads rank446
Source branchdevel
biocViewsClustering, Software, ddPCR

Documentation

Download

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

Source packageddPCRclust_1.33.0.tar.gz
Windows binary (x86_64)ddPCRclust_1.33.0.zip
macOS binary (arm64)ddPCRclust_1.33.0.tgz
macOS binary (x86_64)ddPCRclust_1.33.0.tgz
Dependencies

Depends: R (>= 3.5)

Imports: plotrix, clue, parallel, ggplot2, openxlsx, R.utils, flowCore, flowDensity (>= 1.13.3), SamSPECTRAL, flowPeaks

Suggests: BiocStyle

Reverse dependencies

Suggests Me (1): Polytect