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LICENSE
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MIT License
Copyright (c) 2017 The Witte Lab at University of California, San Francisco. (orchid)
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.
The Software makes use of but does not modify or directly redistribute the third
party resources listed below in Table 1 (“Third Party Resources”). Certain
licenses attach to Third Party Resources and by using Software you agree to
abide by those licenses if you obtain these Third Party Resources.
Copyright (c) Continuum Analytics, Inc. All Rights Reserved. (Anaconda)
Copyright (c) Pablo Cingolani. (SnpEff)
Copyright (c) 2013 Jay Shendure's lab at the University of Washington. (CADD Simulator)
Copyright (c) Comparative Bioinformatics group at the Barcelona Center for Genomic Regulation (CRG). (Nextflow)
Copyright (c) 2010-2016, scikit-learn developers. (scikit-learn)
Copyright (c) 2012, PyData Development Team. (pandas)
Copyright (c) 2012-2017, Michael Waskom. (seaborn)
Copyright (c) 2012-2016, The Matplotlib development team. (matplotlib)
Copyright (c) 2015-, Jupyter Development Team. (juypter notebook)
Copyright (c) 2016, Will McGinnis. (category_encoders)
Table 1 Third Party Resources
Third party code Link License type
================ ================ ================
Anaconda2 v4.4.0 https://www.continuum.io/downloads BSD
SnpEff v3.6 http://snpeff.sourceforge.net/download.html LGPLv3
CADD simulator http://cadd.gs.washington.edu/simulator MIT
Nextflow v0.23.4 https://www.nextflow.io/ GPLv3
scikit-learn http://scikit-learn.org/stable/index.html BSD
pandas http://pandas.pydata.org/ New BSD
seaborn https://seaborn.pydata.org/ New BSD
matplotlib https://matplotlib.org/ Modified PSF
jupyter notebook http://jupyter.org/index.html New BSD
category_encoders http://contrib.scikit-learn.org/categorical-encoding/ New BSD