There are 4 repositories under flow-cytometry topic.
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
Huge-scale, high-performance flow cytometry clustering in Julia
Immunology Informatics - Big Data Analysis in Immunology - Tutorials
Javascript / node.js code to read FCS flow cytometry data
🧫 Read Flow Cytometry Standard (FCS) files in Julia
Framework for image and flow cytometry analysis
This repository extends scanpy to handle flow and mass cytometry data.
R package offering functionality for the advanced analysis of microbial flow 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
Code base for the Grant, Morales-Nebreda, and Markov et al., “Circuits between infected macrophages and T cells in SARS-CoV-2 pneumonia” Nature (2021) paper
CITEViz: Replicating the Interactive Flow Cytometry Workflow in CITE-Seq
R package offering functionality for the advanced analysis of microbial flow cytometry data
An R package for flow cytometry histogram analysis
Python package with library and CLI tool for analyzing SeaFlow data
In-browser utility for validating FCS file specification compliance
Low-level Flow Cytometry Standard (FCS) file serializer/deserializer
Conversion from light scattering measured by SeaFlow to cell diameter