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cyanoFilter

Phytoplankton Population Identification using Cell Pigmentation and/or Complexity

Bioconductor version: 3.24 · Package version: 1.21.0

An approach to filter out and/or identify phytoplankton cells from all particles measured via flow cytometry pigment and cell complexity information. It does this using a sequence of one-dimensional gates on pre-defined channels measuring certain pigmentation and complexity. The package is especially tuned for cyanobacteria, but will work fine for phytoplankton communities where there is at least one cell characteristic that differentiates every phytoplankton in the community.

Installation

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

BiocManager::install("cyanoFilter")

Details

MaintainerOluwafemi Olusoji <oluwafemi.olusoji@uhasselt.be>
AuthorOluwafemi Olusoji [cre, aut], Aerts Marc [ctb], Delaender Frederik [ctb], Neyens Thomas [ctb], Spaak jurg [aut]
LicenseMIT + file LICENSE
URLhttps://github.com/fomotis/cyanoFilter
Bug Reportshttps://github.com/fomotis/cyanoFilter/issues
Downloads rank411
Source branchdevel
biocViewsClustering, FlowCytometry, OneChannel, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagecyanoFilter_1.21.0.tar.gz
Windows binary (x86_64)cyanoFilter_1.21.0.zip
macOS binary (arm64)cyanoFilter_1.21.0.tgz
macOS binary (x86_64)cyanoFilter_1.21.0.tgz
Dependencies

Depends: R (>= 4.1.0)

Imports: Biobase, flowCore, flowDensity, flowClust, cytometree, ggplot2, GGally, graphics, grDevices, methods, mrfDepth, stats, utils

Suggests: magrittr, dplyr, purrr, knitr, stringr, rmarkdown, tidyr