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.

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 Python library for reading and writing Flow Cytometry Standard (FCS) files

A data-centric flow/mass cytometry automated analysis framework

Huge-scale, high-performance flow cytometry clustering in Julia

Immunology Informatics - Big Data Analysis in Immunology - Tutorials

🧫 Read Flow Cytometry Standard (FCS) files in Julia

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.

Framework for image and flow cytometry analysis

R package for interactive visualization and analysis of single-cell data

R package offering functionality for the advanced analysis of microbial flow cytometry data

R package for analysis of single-cell data using graphs

R package to cluster single-cell data and generate features that can be used for model building

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.

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