bioc-issue-bot
commented
2 months ago Hi @MicroStatsLab
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The DESCRIPTION file for this package is:
Package: PloidyPeaks
Title: Peak Detection Algorithm For Flow Cytometry Data
Version: 0.99.0
Authors@R: c(
person("Margot", "Henry", email="margothenry@live.com", role = c("aut", "cre")),
person("Aleeza", "Gerstein", email="aleeza.gerstein@umanitoba.ca", role=c("aut", "ths")),
person("Maxime", "Turgeon", email="turgeon.maxime@gmail.com", role="ctb"),
person("Caitlin", "Kostna", email="microstatslab@gmail.com", role="ctb"),
person("Leanne", "Von Giese", role="ctb"))
Description: PloidyPeaks is a package to quantify population-level genome size variation from flow cytometry data without requiring user input.
The package uses peak detection algorithms and flow cytometry population definitions to quantify sub-populations.
The workflow is separated into three parts: 1) gating and 2) peak detection, 3) dataset output.
Built-in visualizations options are included throughout.
biocViews: FlowCytometry, PeakDetection, Visualization
Imports: AzureRMR,
AzureStor,
BiocFileCache,
cowplot,
data.table,
dplyr,
flowCore,
flowTime,
ggcyto,
ggplot2,
gridExtra,
here,
htmltools,
kableExtra,
magrittr,
moments,
patchwork,
purrr,
scorepeak,
sqldf,
tcltk,
tidyr,
tidyverse,
tools,
vctrs,
xpectr,
zoo
License: GPL-3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.1
Suggests:
rmarkdown,
knitr,
testthat
VignetteBuilder: knitr
MicroStatsLab
lshep
jwokaty
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