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MicroMETE

Project repository for data and Python code associated with the testing of maximum entropy theory in microbial ecology.

###To do's: Ken:

  • MG-RAST data for 95% and 99%
  • Start lit cited.

Will:

  • Figures
  • Finish table 1
  • Refine/finish lit cited.
  • Edit and revise main body.
  • Add average N and S to Table 1.
  • Create draft using RMarkdown.
  • Fix Markdown tables
  • Make regession plots into 3x8 format

The MIT License (MIT)

Copyright (c) 2015 William R. Shoemaker, Kenneth J. Locey, Jay T. Lennon

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.

Attributes

To write the code in this repository we used MIT liscensed code from the GitHub repositories METE and macroecotools on 9/20/2015.

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Repo for code from last spring where the Maximum Entropy Theory of Ecology was applied to abundance data from the Human Microbiome Project

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  • Python 100.0%