A python package for reading raw fcs files
$ pip install fcsparser
$ conda install -c bioconda fcsparser
>>> import fcsparser >>> path = fcsparser.test_sample_path >>> meta, data = fcsparser.parse(path, reformat_meta=True)
A more detailed example can be found here: http://nbviewer.ipython.org/github/eyurtsev/fcsparser/blob/master/doc/fcsparser_example.ipynb
- python: 2.7, 3.3, 3.4
- FCS Formats: Supports FCS 2.0, 3.0, and 3.1
- FCS Machines: BD FACSCalibur, BD LSRFortessa, BD LSR-II, MiltenyiBiotec MACSQuant VYB, Sony SH800
Pull requests are greatly appreciated. Missing features include:
- the ability to apply compensation.
- a set of transformations (hlog, logicle, etc.) that can be applied.
Also fcs files from more devices and more formats are greatly appreciated, especially if the parser fails for them!
The MIT License (MIT)
Copyright (c) 2013-2015 Eugene Yurtsev
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.
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