Parse FCS files into NumPy arrays, metadata, and CSV/DataFrame outputs.
npx skills add https://github.com/crazymsn/academic-skills --skill flowio-crazymsn
Please help me install this Agent Skill. Skill: flowio Source: https://github.com/crazymsn/academic-skills/tree/main/academic-skills/flowio Command: npx skills add https://github.com/crazymsn/academic-skills --skill flowio-crazymsn
FlowIO provides a lightweight solution to parse Flow Cytometry Standard (FCS) files (versions 2.0–3.1), extract event data as NumPy arrays, and read channel metadata, enabling conversion to CSV or DataFrame for downstream analysis and preprocessing.
Parse a sample FCS file to extract the event data as a NumPy array and inspect channel metadata.
High-intent search queries and answers about installing and using this skill.
To parse FCS flow cytometry files into arrays, this Skill extracts event data from the DATA segment and converts it directly into structured NumPy arrays. It supports FCS file versions 2.0 through 3.1 for data preprocessing pipelines.
Yes, you can extract metadata and channel labels from FCS files by reading the TEXT segment. This Skill provides access to channel labeling and TEXT metadata to ensure proper identification of parameters in flow cytometry experiments.
To convert flow cytometry event data to CSV, this Skill extracts the event data into NumPy arrays and enables export to CSV or DataFrame formats. This allows seamless integration with downstream analysis and preprocessing workflows.
Yes, this FCS parsing method supports multi-dataset handling within FlowIO's API. It allows you to process multiple flow cytometry datasets, extracting event data and metadata across different FCS files in your data pipelines.
The best way to create new FCS files while preserving experiment metadata is to retain key information from the TEXT segment during generation. This Skill supports creating new FCS files to ensure reproducibility in flow cytometry experiments.
FCS file versions 2.0, 3.0, and 3.1 are supported for flow cytometry data extraction. The Skill parses these standard formats to extract event data as NumPy arrays and read channel metadata for analysis pipelines.
Yezez9Parse FCS files into NumPy arrays and metadata.
robinbarvaagParse FCS files into NumPy arrays, metadata, and channel information.
RamanEbrahimiParse Flow Cytometry Standard (FCS) files into NumPy arrays and Pandas DataFrames.
jackspaceParse FCS files to extract events as NumPy arrays and metadata.
