Parse FCS files into NumPy arrays and read channel metadata.
npx skills add https://github.com/OwnLabAI/ownlab --skill flowio-ownlabai
Please help me install this Agent Skill. Skill: flowio Source: https://github.com/OwnLabAI/ownlab/tree/main/mart/skills/scientific-skills/flowio Command: npx skills add https://github.com/OwnLabAI/ownlab --skill flowio-ownlabai
FlowIO provides Python tools to read and write Flow Cytometry Standard (FCS) files, exposing metadata, channel information, and event data for downstream analysis and conversion to NumPy arrays or CSV/DataFrame formats.
FlowIO enables:
Load an FCS file with FlowData, call as_array() to retrieve events, and export to CSV or DataFrame for analysis.
High-intent search queries and answers about installing and using this skill.
To parse FCS flow cytometry files, load the file with FlowData and call as_array() to retrieve event data as NumPy arrays for downstream analysis. It supports FCS versions 2.0 through 3.1 and exposes TEXT metadata and channel labels.
You can convert FCS flow cytometry data to Pandas DataFrames or CSV files by loading the FCS file with FlowData, extracting the event data, and exporting it for use in preprocessing pipelines or downstream analysis.
FlowIO supports reading and writing FCS files with preserved metadata. You can use the create_fcs utility to write modified data back to FCS format while retaining the original TEXT keywords and channel information.
Flow cytometry data extraction supports FCS file versions 2.0, 2.1, 3.0, and 3.1. The parser extracts TEXT keywords, channel labels, and event data reliably across these standard versions.
To access channel metadata and TEXT keywords from an FCS file, load the file using FlowData. This exposes the channel labels and metadata directly, making them available for extraction and downstream analysis pipelines.
You can handle multiple datasets within a single FCS file using FlowIO's optional multi-dataset handling capabilities. The FlowData utility processes multiple data segments while extracting event arrays and metadata.
Yezez9Parse FCS files into NumPy arrays and metadata.
mkurmanParse FCS files to extract event data and metadata into NumPy arrays or DataFrames.
yf8578Parse and create FCS files, converting event data to NumPy arrays or Pandas DataFrames.
crazymsnParse FCS files into NumPy arrays, metadata, and CSV/DataFrame outputs.
