{ "info": { "author": "Sebastian Castillo-Hair", "author_email": "castillohair@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Topic :: Scientific/Engineering :: Bio-Informatics" ], "description": "===========\n``FlowCal``\n===========\n``FlowCal`` is a library for processing and analyzing flow cytometry data in Python.\nIt features:\n\n* Extraction of Flow Cytometry Standard (FCS) files into numpy array-like structures\n* Traditional and non-standard gating, including automatic density-based two-dimensional gating.\n* Traditional transformation functions, such as exponentiation.\n* Analysis of calibration beads data, standard curve generation, and transformation to absolute units (Molecules of Equivalent Fluorophore, MEF).\n* Plotting, including generation of histograms, density plots and scatter plots.\n* A user-fiendly Excel UI to gate, transform, plot, and generate statistics from a list of flow cytometry samples in a simple fashion.\n\nDocumentation\n=============\nThe official documentation can be found in https://flowcal.readthedocs.io. 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