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twoddpcr

This is thereleased version of twoddpcr; for the devel version, seetwoddpcr.

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

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DOI: 10.18129/B9.bioc.twoddpcr


Bioconductor version: Release (3.22)

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 achiu.me>

Citation (from within R, entercitation("twoddpcr")):

Installation

To install this package, start R (version "4.5") and enter:

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

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

Documentation

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

browseVignettes("twoddpcr")
twoddpcr: A package for Droplet Digital PCR analysisHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsClassification,Software,ddPCR
Version1.34.0
In Bioconductor sinceBioC 3.5 (R-3.4) (8.5 years)
LicenseGPL-3
DependsR (>= 3.4)
Importsclass,ggplot2,hexbin, methods,scales,shiny, stats, utils,RColorBrewer,S4Vectors
System Requirements
URLhttp://github.com/CRUKMI-ComputationalBiology/twoddpcr/
Bug Reportshttp://github.com/CRUKMI-ComputationalBiology/twoddpcr/issues/
See More
Suggestsdevtools,knitr,reshape2,rmarkdown,testthat,BiocStyle
Linking To
Enhances
Depends On Me
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Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source Packagetwoddpcr_1.34.0.tar.gz
Windows Binary (x86_64) twoddpcr_1.34.0.zip (64-bit only)
macOS Binary (x86_64)twoddpcr_1.34.0.tgz
macOS Binary (arm64)twoddpcr_1.34.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/twoddpcr
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/twoddpcr
Bioc Package Browserhttps://code.bioconductor.org/browse/twoddpcr/
Package Short Urlhttps://bioconductor.org/packages/twoddpcr/
Package Downloads ReportDownload Stats

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