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flowio

Parse FCS files and preprocess event data with Python.

Updated May 17, 2026
Search Tags:#Python#data preprocessing#flow cytometry#flowio#FCS files
One-click install
npx skills add https://github.com/galeep/plugin-place --skill flowio-galeep
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: flowio
Source: https://github.com/galeep/plugin-place/tree/main/plugins/sci-lab-automation/skills/flowio
Command: npx skills add https://github.com/galeep/plugin-place --skill flowio-galeep

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires flowio, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of reading, writing, and manipulating Flow Cytometry Standard (FCS) files, providing a user-friendly interface for preprocessing and analysis.

Core Features & Use Cases

  • Read FCS Files: Parse FCS files, extract event data, and access metadata.
  • Data Preprocessing: Apply transformations such as gain scaling, logarithmic scaling, and time scaling.
  • Create FCS Files: Generate new FCS files from event data and metadata.
  • Use Case: Ideal for scientists and researchers in flow cytometry who need to quickly preprocess large datasets before analysis.

Quick Start

Install the FlowIO skill with the command 'uv pip install flowio' and start reading FCS files.

Frequently Asked Questions about flowio

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I parse FCS files in Python for flow cytometry analysis?▼

You can parse Flow Cytometry Standard (FCS) files in Python by using the FlowIO library to extract raw event data and access metadata, streamlining data preprocessing for analysis.

What is the best way to preprocess flow cytometry data before analysis?▼

The best way to preprocess flow cytometry data is applying transformations like gain scaling, logarithmic scaling, and time scaling to raw event data extracted from FCS files.

Can I create new FCS files from raw event data using Python?▼

Yes, you can create new FCS files in Python by generating them from raw event data and metadata using the FlowIO library, providing a user-friendly interface for manipulation.

Do I need a specific Python version to read and write FCS files?▼

Yes, you need Python 3.9 or later and the FlowIO library installed to read, write, and manipulate Flow Cytometry Standard (FCS) files effectively.

Does FlowIO support large flow cytometry datasets?▼

FlowIO is ideal for scientists who need to quickly preprocess large flow cytometry datasets, converting raw event data from FCS files into usable formats for advanced analysis.

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