Parse FCS files and convert event data to NumPy arrays.
npx skills add https://github.com/tassiovale/claude-code-kit --skill flowio-tassiovale
Please help me install this Agent Skill. Skill: flowio Source: https://github.com/tassiovale/claude-code-kit/tree/main/skills/flowio Command: npx skills add https://github.com/tassiovale/claude-code-kit --skill flowio-tassiovale
This Skill addresses the challenge of parsing and managing Flow Cytometry Standard (FCS) files with ease, providing efficient metadata extraction, event data conversion, and file creation capabilities.
Read and access event data from an FCS file using FlowIO's FlowData class.
High-intent search queries and answers about installing and using this skill.
You can parse FCS files in Python by using the FlowIO library, which reads flow cytometry standard files from versions 2.0 through 3.1 and extracts event data into NumPy arrays for analysis.
Yes, you can convert flow cytometry data to CSV or DataFrames. FlowIO transforms FCS file event data into NumPy arrays, which can then be exported to CSV or integrated into DataFrames for downstream processing.
Yes, NumPy is required to process FCS files. FlowIO uses NumPy arrays to handle the event data extracted from flow cytometry files, keeping dependency overhead minimal while managing large datasets.
The best way to generate new FCS files from raw data is using FlowIO's file creation capabilities, which allow you to write new FCS files directly from existing events or raw flow cytometry data arrays.
FlowIO supports FCS file versions 2.0 through 3.1 for cytometry analysis. It efficiently parses these flow cytometry standard files to extract metadata and convert event data into NumPy arrays.
felixboehmParse FCS files into NumPy arrays and extract channel metadata.
robinbarvaagParse FCS files into NumPy arrays, metadata, and channel information.
LogauaEngstromParse FCS files to extract event data and metadata as NumPy arrays or CSV.
HolobiomicsLabParse FCS files and extract event data as NumPy arrays or CSV.
