Data Challenge for microbial community flow cytometry

Shiny Modules for visualizing flow cytometry data

Django-based Repository for Flow Cytometry Data

FACkit is a complete R toolkit providing transformation, data-exploration, dimensional-reduction and clustering methods tailored to semi-automated analysis of FACS data

R scripts to help with your flow cytometry analysis. Batch index export and overlays

A data-centric flow/mass cytometry automated analysis framework

🧫 Read Flow Cytometry Standard (FCS) files in Julia

A simple python plotting package for density and scatter plotting.

Graph-based analysis of natural killer (NK) cell phenotypes in flow cytometry-based immunotherapy assays using FlowSOM.

This repository contains the code used in our benchmark of imputation tools for flow cytometry data.

An R Interactive Shiny Application for the Analysis of Imaging and Conventional Flow Cytometry

Flow cytometry data analysis with R

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.

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

A Python toolbox for quantitative, reproducible flow cytometry analysis

A small R package containing useful R functions for cytometry data for internal use.

Tools for Imaging Flow Cytometry

FlowFI is a python-based package for selecting important features for gating of flow cytometry events and analysis of these features.

A Python toolkit for flow cytometry analysis supporting GatingML and FlowJo workspaces