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polyICSFlow

This is the development version of polyICSFlow; to use it, please install the devel version of Bioconductor.

Identifying the Frequency of Polyfunctional Antigen-Specific T cells in ICS Flow Cytometry Data


Bioconductor version: Development (3.24)

polyICSFlow systematically identifies all cytokine combinations detected in an intracellular cytokine staining (ICS) flow cytometry assay and quantifies polyfunctional antigen-specific responses to single or multiple antigens. The package also offers versatile plotting options for efficient data exploration and visualization of cytokine co-expression profiles.

Author: Lisa Loksø Dietz [aut, cre] ORCID iD ORCID: 0000-0002-1797-5766 , Sofie Van Gassen [aut] ORCID iD ORCID: 0000-0002-7119-5330 , Sarah Bonte [aut] ORCID iD ORCID: 0000-0002-0637-4893 , Yvan Saeys [aut] ORCID iD ORCID: 0000-0002-0415-1506 , Ole Schmeltz Søgaard [aut] ORCID iD ORCID: 0000-0001-9107-2023

Maintainer: Lisa Loksø Dietz <lisdie at clin.au.dk>

Citation (from within R, enter citation("polyICSFlow")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("polyICSFlow")

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

Documentation

Reference Manual PDF

Details

biocViews FlowCytometry, Immunology, SingleCell, Software
Version 0.99.5
In Bioconductor since BioC 3.24 (R-4.6)
License GPL (>=2)
Depends
Imports flowCore, flowWorkspace, openCyto, FlowSOM, ComplexHeatmap, SummarizedExperiment, cowplot, dplyr, forcats, ggtext, rlang, scales, stringr, tidyselect, tidyr, magrittr, ggplot2, methods
System Requirements
URL https://github.com/SoegaardLab/polyICSFlow
Bug Reports https://github.com/SoegaardLab/polyICSFlow/issues
See More
Suggests knitr, rmarkdown, testthat (>= 3.0.0), patchwork, ggh4x
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repository git clone https://git.bioconductor.org/packages/polyICSFlow
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/polyICSFlow
Package Short Url https://bioconductor.org/packages/polyICSFlow/
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