FlowIO — работа с файлами проточной цитометрии

★ 7.0 · data

flowio is a Claude Code skill that reads, inspects, and writes Flow Cytometry Standard (FCS) 2.0, 3.0, and 3.1 files using FlowIO 1.4.0. It covers low-level FCS operations: extracting HEADER, TEXT, and ANALYSIS metadata, retrieving event data as a two-dimensional NumPy float64 array via `as_array()` with optional gain/log/time scaling from FCS metadata, reading legacy multi-dataset files, and writing FCS 3.1 list-mode single-precision files with `create_fcs()`. All parsing runs locally with no credentials or network access; pandas is optional for DataFrame workflows. Designed for bioinformaticians and flow cytometry researchers who need to parse and preprocess raw FCS data before feeding it into machine-learning pipelines or downstream tools — compensation, logicle transforms, gating, and FlowJo workspace processing are out of scope and require FlowKit.