ddpcr: Analysis and Visualization of Droplet Digital PCR in R and on the Web

An interface to explore, analyze, and visualize droplet digital PCR (ddPCR) data in R. This is the first non-proprietary software for analyzing two-channel ddPCR data. An interactive tool was also created and is available online to facilitate this analysis for anyone who is not comfortable with using R.

Version: 1.6
Depends: R (≥ 3.1.0)
Imports: DT (≥ 0.2), dplyr (≥ 0.5.0), ggplot2 (≥ 2.2.0), lazyeval (≥ 0.1.10), magrittr (≥ 1.5), mixtools (≥ 1.0.2), plyr (≥ 1.8.1), readr (≥ 0.1.0), shiny (≥ 0.11.0), shinyjs (≥ 0.4.0)
Suggests: ggExtra (≥ 0.3.0), graphics, grid (≥ 3.2.2), gridExtra (≥ 2.0.0), knitr (≥ 1.7), rmarkdown, stats, testthat (≥ 0.11.0), utils
Published: 2016-11-12
Author: Dean Attali [aut, cre]
Maintainer: Dean Attali <daattali at gmail.com>
BugReports: https://github.com/daattali/ddpcr/issues
License: MIT + file LICENSE
URL: https://github.com/daattali/ddpcr
NeedsCompilation: no
Materials: README NEWS
CRAN checks: ddpcr results

Downloads:

Reference manual: ddpcr.pdf
Vignettes: Algorithms in ddpcr analysis
Extending ddpcr by adding new plate types
Package ddpcr
Implementation technical details
Package source: ddpcr_1.6.tar.gz
Windows binaries: r-devel: ddpcr_1.6.zip, r-release: ddpcr_1.6.zip, r-oldrel: ddpcr_1.6.zip
OS X El Capitan binaries: r-release: ddpcr_1.6.tgz
OS X Mavericks binaries: r-oldrel: ddpcr_1.6.tgz
Old sources: ddpcr archive

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