Parse FCS files and convert event data to NumPy arrays or CSV.
npx skills add https://github.com/SciMate-AI/scicli --skill flowio-scimate-ai
Please help me install this Agent Skill. Skill: flowio Source: https://github.com/SciMate-AI/scicli/tree/main/internal/skills/bundled/claude-scientific-skills/skills/flowio Command: npx skills add https://github.com/SciMate-AI/scicli --skill flowio-scimate-ai
FlowIO enables researchers and developers to read, parse, and manipulate Flow Cytometry Standard (FCS) files to extract events and metadata for downstream analysis.
Load an FCS file with FlowIO's FlowData class and print its version, channel names, and event count.
High-intent search queries and answers about installing and using this skill.
You can parse FCS flow cytometry files by loading them with FlowIO's FlowData class to extract events, access channel information, and read TEXT metadata for downstream analysis.
Yes, you can convert flow cytometry FCS data to NumPy arrays or CSV files. FlowIO enables event data conversion for data pipelines and visualization workflows.
FlowIO supports reading FCS versions 2.0, 3.0, and 3.1. It handles the TEXT segment and optional ANALYSIS segment while providing multi-dataset support.
To handle multi-dataset FCS files in Python, FlowIO provides read and write functionality with fault-tolerant options for common parsing issues during data extraction.
You can access channel names and metadata from an FCS file by loading it with FlowIO's FlowData class, which interprets FCS headers and TEXT metadata to retrieve channel information.
Yes, FlowIO provides fault-tolerant options for common parsing issues when reading FCS files, ensuring you can extract events and metadata even from non-standard flow cytometry data.
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