This site is a development preview. As such the content and styling may not be final and is subject to change before going into production. To see more information about the redesign click here.

ddPCRclust

This is the development version of ddPCRclust; for the stable release version, see ddPCRclust.

Clustering algorithm for ddPCR data

Bioconductor version: Development (3.18)

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 cebitec.uni-bielefeld.de>

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

Installation

To install this package, start R (version "4.3") and enter:

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("ddPCRclust")

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

Documentation

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

browseVignettes("ddPCRclust")
Bioconductor LaTeX Style PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews Clustering, Software, ddPCR
Version 1.21.0
In Bioconductor since BioC 3.7 (R-3.5) (5.5 years)
License Artistic-2.0
Depends R (>= 3.5)
Imports plotrix, clue, parallel, ggplot2, openxlsx, R.utils, flowCore, flowDensity(>= 1.13.3), SamSPECTRAL, flowPeaks
Linking To
Suggests BiocStyle
System Requirements
Enhances
URL https://github.com/bgbrink/ddPCRclust
Bug Reports https://github.com/bgbrink/ddPCRclust/issues
See More
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 ddPCRclust_1.21.0.tar.gz
Windows Binary ddPCRclust_1.21.0.zip
macOS Binary (x86_64) ddPCRclust_1.21.0.tgz
macOS Binary (arm64) ddPCRclust_1.21.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/ddPCRclust
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ddPCRclust
Bioc Package Browser https://code.bioconductor.org/browse/ddPCRclust/
Package Short Url https://bioconductor.org/packages/ddPCRclust/
Package Downloads Report Download Stats