eyurtsev / FlowCytometryTools

A python package for visualization and analysis of high-throughput flow cytometry data
https://eyurtsev.github.io/FlowCytometryTools/
MIT License
113 stars 45 forks source link

FlowCytometryTools

Authors: Jonathan Friedman and Eugene Yurtsev <https://eyurtsev.github.io>_

.. image:: https://zenodo.org/badge/doi/10.5281/zenodo.32991.svg :target: https://zenodo.org/record/32991

FlowCytometryTools is a python package for visualization and analysis of high-throughput flow cytometry data.

Who is this for?

FlowCytometryTools is for researchers who want to use the python programming language to analyze flow cytometry data.

The package is specifically tailored for high-throughput analysis. It provides an interface that can directly work with collections of flow cytometry measurements (e.g., 96-well plates).

Basic familiarity with the python programming languages is recommended.

You can find a few example scripts that load and plot flow cytometry data in the gallery <https://eyurtsev.github.io/FlowCytometryTools/gallery.html>_ page.

If you like what you see, then proceed to the installation <https://eyurtsev.github.io/FlowCytometryTools/install.html> page and then to the tutorial <https://eyurtsev.github.io/FlowCytometryTools/tutorial.html>.

And yes, there's a UI to draw basic gates. It's super basic, but it gets the job done.

.. image:: https://github.com/eyurtsev/FlowCytometryTools/blob/master/doc/source/_static/webagg_demo.gif :target: https://github.com/eyurtsev/FlowCytometryTools/blob/master/doc/source/_static/webagg_demo.gif

.. image:: _static/webagg_demo.gif :target: _static/webagg_demo.gif

Features

Resources

Dependencies

For more information about how to obtain these, please see the installation <https://eyurtsev.github.io/FlowCytometryTools/install.html>_ page.

FlowCytometryTools may work with older versions of some of these dependencies, but if you run into issues, please update the dependencies.

Required Dependencies

. python <https://www.python.org/getit/>_ python 3.7 or higher

. pandas <https://pandas.pydata.org/>__ (Recommended version: 0.19.0 or higher).

. matplotlib <https://matplotlib.org/>__ (Recommended version: 1.5.3 or higher).

. scipy <https://www.scipy.org/>__

Optional Dependencies

. wx-python <https://wiki.wxpython.org/How%20to%20install%20wxPython>__ : Used for the FlowCytometryTools GUI.

Alternatives

FlowCytometryTools is not the only open source software for performing data analysis on flow cytometry data.

So if you find that FlowCytometryTools does not suit your needs, take a look at the following software:

Changes

v0.4.6, 2017-03-26

v0.4.5, 2015-10-31

v0.4.4, 2015-09-06

Repository moved to github

Enhancements:

Bug fixes:

v0.4.3, 2014-12-05

v0.4.2, 2014-10-08

v0.4.1, 2014-09-13

v0.4.0, 2014-06-05

v0.3.6, 2014-02-11

v0.3.5, 2014-01-19

v0.3.0, 2013-10-27 Initial Release

LICENSE

The MIT License (MIT)

Copyright (c) 2013-2022 Eugene Yurtsev and Jonathan Friedman

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.