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https://www.bioconductor.org/packages//2.7/bioc/html/plateCore.html

Software that provides basic S4 data structures and routines for analyzing plate based flow cytometry data.

Proper citation: plateCore (RRID:SCR_001743) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/flowClust.html

A Bioconductor software package for automated gating of flow cytometry data that implements a robust model-based clustering approach based on multivariate t mixture models with the Box-Cox transformation.

Proper citation: flowClust (RRID:SCR_001807) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/COMPASS.html

Software for combinatorial polyfunctionality analysis of single cells. It is a statistical framework that enables unbiased analysis of antigen-specific T-cell subsets. It uses a Bayesian hierarchical framework to model all observed cell-subsets and select the most likely to be antigen-specific while regularizing the small cell counts that often arise in multi-parameter space. The model provides a posterior probability of specificity for each cell subset and each sample, which can be used to profile a subject's immune response to external stimuli such as infection or vaccination.

Proper citation: COMPASS (RRID:SCR_001801) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/flowUtils.html

Software that provides utilities for flow cytometry data.

Proper citation: flowUtils (RRID:SCR_001879) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/flowTrans.html

Software for profile maximum likelihood estimation of parameters for flow cytometry data transformations.

Proper citation: flowTrans (RRID:SCR_002093) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/flowMap.html

Software package that quantifies the similarity of cell populations across multiple flow cytometry samples using a nonparametric multivariate statistical test. The algorithm allows the users to specify a reference sample for comparison or to construct a reference sample from the available data. The output of the algorithm is a set of text files where the cell population labels are replaced by a metaset of population labels, generated from the matching process.

Proper citation: flowMap (RRID:SCR_002269) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/flowMatch.html

Software for matching cell populations and building meta-clusters and templates from a collection of flow cytometry (FC) samples.

Proper citation: flowMatch (RRID:SCR_002283) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/flowMeans.html

Software that identifies cell populations in Flow Cytometry data using non-parametric clustering and segmented-regression-based change point detection.

Proper citation: flowMeans (RRID:SCR_002275) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/flowMerge.html

Software for merging of mixture components for model-based automated gating of flow cytometry data using the flowClust framework.

Proper citation: flowMerge (RRID:SCR_002224) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/2.11/bioc/html/flowPhyto.html

An R package that performs aggregate statistics on virtually unlimited collections of raw flow cytometry files and provides a memory efficient, parallelized solution for analyzing high-throughput flow cytometric data.

Proper citation: flowPhyto (RRID:SCR_002183) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/flowWorkspace.html

Software package that facilitates comparison of automated gating methods against manual gating done in flowJo. This package allows you to import basic flowJo workspaces into BioConductor and replicate the gating from flowJo using the flowCore functionality. Gating hierarchies, groups of samples, compensation, and transformation are performed so that the output matches the flowJo analysis.

Proper citation: flowWorkspace (RRID:SCR_001155) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/flowFP.html

A Bioconductor software package for fingerprint generation of flow cytometry data, used to facilitate the application of machine learning and datamining tools for flow cytometry.

Proper citation: flowFP (RRID:SCR_001537) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/flowFlowJo.html

A Bioconductor package that can import gates defined by the commercial package FlowJo and work with them in a manner consistent with the other flow packages in Bioconductor. FlowJo is a commercial GUI based software package from TreeStar Inc. for the visualization and analysis of flow cytometry data. One of the FlowJo standard export file types is the FlowJo Workspace. This is an XML document that describes files and manipulations that have been performed in the FlowJo GUI environment. This package can take apart the FlowJo workspace and deliver the data into R in the flowCore paradigm.

Proper citation: flowFlowJo (RRID:SCR_000410) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/flowStats.html

Software using statistical methods and functionality to analyze flow data that is beyond the basic infrastructure provided by the flowCore package.

Proper citation: flowStats (RRID:SCR_000399) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/flowQ.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 8,2025. Software that provides quality control and quality assessment tools for flow cytometry data.

Proper citation: flowQ (RRID:SCR_000575) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/ncdfFlow.html

Software package that provides netCDF storage based methods and functions for manipulation of flow cytometry data.

Proper citation: ncdfFlow (RRID:SCR_000009) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/MIMOSA.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Software for modeling count data using Dirichlet-multinomial and beta-binomial mixtures with applications to single-cell assays.

Proper citation: MIMOSA (RRID:SCR_000184) Copy   

•   Source: SciCrunch Registry

https://github.com/yongchao/flowPeaks

Software for fast and automatic clustering to classify the cells into subpopulations based on finding the peaks from the overall density function generated by K-means.

Proper citation: flowPeaks (RRID:SCR_000407) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/QUALIFIER.html

Software that provides quality control and quality assessment tools for gated flow cytometry data.

Proper citation: QUALIFIER (RRID:SCR_000389) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/SamSPECTRAL.html

Software that identifies cell population in flow cytometry data. It demonstrates significant advantages in proper identification of populations with non-elliptical shapes, low density populations close to dense ones, minor subpopulations of a major population and rare populations. It samples large data such that spectral clustering is possible while preserving density information in edge weights. More specifically, given a matrix of coordinates as input, SamSPECTRAL first builds the communities to sample the data points. Then, it builds a graph and after weighting the edges by conductance computation, the graph is passed to a classic spectral clustering algorithm to find the spectral clusters. The last stage of SamSPECTRAL is to combine the spectral clusters. The resulting connected components estimate biological cell populations in the data sample.

Proper citation: SamSPECTRAL (RRID:SCR_001858) Copy   

•   Source: SciCrunch Registry