Parse FCS files into NumPy arrays and CSV for analysis.
npx skills add https://github.com/pur3v4d3r/pur3-pkb-codebase --skill flowio-pur3v4d3r
Please help me install this Agent Skill. Skill: flowio Source: https://github.com/pur3v4d3r/pur3-pkb-codebase/tree/main/.claude/skills/__scientific-skills/flowio Command: npx skills add https://github.com/pur3v4d3r/pur3-pkb-codebase --skill flowio-pur3v4d3r
FlowIO enables programmatic parsing and creation of Flow Cytometry Standard (FCS) files, exposing metadata and event data for downstream analysis and pipelines.
Load an FCS file and access its event data as a NumPy array.
High-intent search queries and answers about installing and using this skill.
You can parse FCS flow cytometry files into NumPy arrays by loading the file to extract metadata and event data. The tool supports FCS versions 2.0, 3.0, and 3.1, providing a stable API to convert channel events into arrays for downstream analysis.
Reading multi-dataset FCS files is handled natively by this parser, which extracts metadata and event data from multiple datasets within a single file. It supports versions 2.0, 3.0, and 3.1, ensuring broad compatibility for flow cytometry data extraction.
Yes, you can export flow cytometry event data to CSV. The parser extracts event data from FCS files and provides conversion utilities to export it directly to CSV format, enabling seamless integration with downstream analytics pipelines.
Yes, this FCS parser supports flow cytometry standard version 3.1, alongside versions 2.0 and 3.0. It accurately extracts metadata and event data from both single and multi-dataset files across these specifications.
You can write and create new FCS files programmatically using the tool's stable API for file creation. It supports validating and preprocessing flow cytometry data, allowing you to generate compliant FCS files while preserving metadata.
RamanEbrahimiParse Flow Cytometry Standard (FCS) files into NumPy arrays and Pandas DataFrames.
IbIFACE-TechAnalyze CSV, JSON, and Excel datasets for statistics and anomalies.
LogauaEngstromParse FCS files to extract event data and metadata as NumPy arrays or CSV.
Zeyuyang-0420Parses FCS files to extract metadata and event data for analysis.
