Parse FCS files into NumPy arrays and extract metadata.
npx skills add https://github.com/JosephWoodall/noosphere --skill flowio-josephwoodall
Please help me install this Agent Skill. Skill: flowio Source: https://github.com/JosephWoodall/noosphere/tree/main/.agent/skills/flowio Command: npx skills add https://github.com/JosephWoodall/noosphere --skill flowio-josephwoodall
FlowIO provides a lightweight Python library for reading and writing Flow Cytometry Standard (FCS) files. Parse FCS metadata, extract event data, and create new FCS files with minimal dependencies. The library supports FCS versions 2.0, 3.0, and 3.1, making it ideal for backend services, data pipelines, and basic cytometry file operations.
Load an FCS file with FlowIO and obtain the events as a NumPy array.
High-intent search queries and answers about installing and using this skill.
FlowIO parses Flow Cytometry Standard (FCS) files and exposes event data directly as NumPy arrays. It supports FCS versions 2.0, 3.0, and 3.1, enabling metadata extraction and channel reading for Python data pipelines.
Yes, you can convert FCS event data to CSV or DataFrame formats. FlowIO enables extraction of event data and metadata, facilitating conversion for downstream analysis in research workflows and backend services.
FlowIO supports FCS versions 2.0, 3.0, and 3.1. This broad compatibility makes it ideal for basic cytometry file operations and data pipelines handling legacy or recent Flow Cytometry Standard files.
The best way to read and write FCS metadata in Python is using FlowIO, a lightweight library. It extracts TEXT segment keywords and channel information while allowing creation of new FCS files with minimal dependencies.
FlowIO extracts metadata and channel information from multi-dataset FCS files. It parses the TEXT segment keywords and provides utilities to read, write, and preprocess FCS data in Python for cytometry research workflows.
Use a lightweight Python library for FCS data extraction to access event data as NumPy arrays with minimal dependencies. FlowIO provides basic preprocessing utilities and metadata extraction without heavy framework requirements.
RamanEbrahimiParse Flow Cytometry Standard (FCS) files into NumPy arrays and Pandas DataFrames.
hxk622Parse FCS files 2.0-3.1 into NumPy arrays and metadata.
yf8578Parse and create FCS files, converting event data to NumPy arrays or Pandas DataFrames.
jackspaceParse FCS files to extract events as NumPy arrays and metadata.
