What versions of FCS does FlowIO support?

FlowIO supports Flow Cytometry Standard (FCS) versions 2.0, 3.0, and 3.1.

Can FlowIO handle files with multiple datasets?

Yes, FlowIO includes a specific function, read_multiple_data_sets, to detect and parse FCS files containing more than one dataset.

Can I use FlowIO to create new FCS files from NumPy arrays?

Yes, the create_fcs function allows you to generate valid FCS 3.1 files using data from NumPy arrays, custom channel names, and metadata.

Does FlowIO apply compensation or gating?

No, FlowIO is a lightweight library focused on file I/O and basic preprocessing. For advanced analysis like compensation and gating, it is recommended to use the FlowKit library.

FlowIO Flow Cytometry Handler

Name: FlowIO Flow Cytometry Handler
Author: plurigrid

byplurigrid

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数据科学与机器学习

Parses and manipulates Flow Cytometry Standard (FCS) files, enabling seamless conversion to NumPy arrays and DataFrames for biological data analysis.

FlowIO is a lightweight Python utility designed for the efficient handling of Flow Cytometry Standard (FCS) files across versions 2.0 to 3.1. It empowers developers and researchers to extract event data, parse complex metadata, and generate new FCS files with minimal dependencies. By bridging the gap between specialized cytometry formats and standard data science tools like NumPy and Pandas, FlowIO streamlines the preprocessing phase of bioinformatics pipelines, making it an essential utility for automated cytometry data workflows and large-scale biological data processing.