A Python toolkit for flow cytometry analysis supporting GatingML and FlowJo workspaces
A computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.
A Python library for reading and writing Flow Cytometry Standard (FCS) files
R scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data
R package for pre-processing of mass and flow cytometry data
A data-centric flow/mass cytometry automated analysis framework
Huge-scale, high-performance flow cytometry clustering in Julia
Framework for image and flow cytometry analysis
Immunology Informatics - Big Data Analysis in Immunology - Tutorials
Javascript / node.js code to read FCS flow cytometry data
FlowUtils is a Python package containing various utility functions related to flow cytometry analysis, primarily focused on compensation and transformation tasks commonly used within the flow community.
🧫 Read Flow Cytometry Standard (FCS) files in Julia
An R package for the processing of plate reader and flow cytometry data. This includes: normalisation and calibration of plate reader data, and removing debris and doublets and calibration of flow cytometry data.
R package for interactive visualization and analysis of single-cell data
R package for analysis of single-cell data using graphs
R package offering functionality for the advanced analysis of microbial flow cytometry data
R package to cluster single-cell data and generate features that can be used for model building
This repository extends scanpy to handle flow and mass cytometry data.
Popcycle is an R package that offers reproducible analytical tools to analyze flow cytometry data collected by SeaFlow
Shiny Modules for visualizing flow cytometry data
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