Bioconductor version: Release (3.16)
Mass cytometry (CyTOF) uses heavy metal isotopes rather than fluorescent tags as reporters to label antibodies, thereby substantially decreasing spectral overlap and allowing for examination of over 50 parameters at the single cell level. While spectral overlap is significantly less pronounced in CyTOF than flow cytometry, spillover due to detection sensitivity, isotopic impurities, and oxide formation can impede data interpretability. We designed CATALYST (Cytometry dATa anALYSis Tools) to provide a pipeline for preprocessing of cytometry data, including i) normalization using bead standards, ii) single-cell deconvolution, and iii) bead-based compensation.
Author: Helena L. Crowell [aut, cre], Vito R.T. Zanotelli [aut], Stéphane Chevrier [aut, dtc], Mark D. Robinson [aut, fnd], Bernd Bodenmiller [fnd]
Maintainer: Helena L. Crowell <helena.crowell at uzh.ch>
Citation (from within R,
enter citation("CATALYST")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("CATALYST")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CATALYST")
HTML | R Script | 1. Preprocessing |
HTML | R Script | 2. Differential discovery |
Reference Manual | ||
Text | NEWS |
biocViews | Clustering, DifferentialExpression, ExperimentalDesign, FlowCytometry, ImmunoOncology, MassSpectrometry, Normalization, Preprocessing, SingleCell, Software, StatisticalMethod, Visualization |
Version | 1.22.0 |
In Bioconductor since | BioC 3.5 (R-3.4) (6 years) |
License | GPL (>=2) |
Depends | R (>= 4.0), SingleCellExperiment |
Imports | circlize, ComplexHeatmap, ConsensusClusterPlus, cowplot, data.table, dplyr, drc, flowCore, FlowSOM, ggplot2, ggrepel, ggridges, graphics, grDevices, grid, gridExtra, magrittr, Matrix, matrixStats, methods, nnls, purrr, RColorBrewer, reshape2, Rtsne, SummarizedExperiment, S4Vectors, scales, scater, stats |
LinkingTo | |
Suggests | BiocStyle, diffcyt, flowWorkspace, ggcyto, knitr, openCyto, rmarkdown, testthat, uwot |
SystemRequirements | |
Enhances | |
URL | https://github.com/HelenaLC/CATALYST |
BugReports | https://github.com/HelenaLC/CATALYST/issues |
Depends On Me | cytofWorkflow |
Imports Me | |
Suggests Me | diffcyt, imcRtools, treekoR |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | CATALYST_1.22.0.tar.gz |
Windows Binary | CATALYST_1.22.0.zip |
macOS Binary (x86_64) | CATALYST_1.22.0.tgz |
macOS Binary (arm64) | CATALYST_1.22.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/CATALYST |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/CATALYST |
Bioc Package Browser | https://code.bioconductor.org/browse/CATALYST/ |
Package Short Url | https://bioconductor.org/packages/CATALYST/ |
Package Downloads Report | Download Stats |
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