bioc-issue-bot
commented
6 years ago Hi @bgbrink
Thanks for submitting your package. We are taking a quick look at it and you will hear back from us soon.
The DESCRIPTION file for this package is:
Package: ddPCRclust
Title: Clustering algorithm for ddPCR data
Version: 0.99.0
Date: 2017-11-11
Authors@R: c(person("Benedikt G.", "Brink", email = "bbrink@cebitec.uni-bielefeld.de", role = c("aut", "cre")), person("Justin", "Meskas", email = "jmeskas@bccrc.ca", role = "ctb"), person("Ryan R.", "Brinkman", email = "rbrinkman@bccrc.ca", role = "ctb"))
Description: The ddPCRclust algorithm can automatically quantify the events of ddPCR reaction with up to four markers. In order to determine the correct droplet count for each marker, 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 project repository on github.
LazyData: true
Depends:
R (>= 3.4)
Imports:
plotrix,
clue,
parallel,
ggplot2,
openxlsx,
R.utils,
flowDensity (>= 1.13.3),
SamSPECTRAL,
flowPeaks,
BiocStyle
Remotes:
bioc::flowDensity,
bioc::SamSPECTRAL,
bioc::flowPeaks,
bioc::BiocStyle
Collate:
'cluster_functions.R'
'functions.R'
'ddPCRclust.R'
License: file LICENSE
URL: https://github.com/bgbrink/ddPCRclust
biocViews:
ddPCR,
Clustering
RoxygenNote: 6.0.1
mtmorgan
bgbrink
LiNk-NY
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