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gregcaporaso / qiime191-or-otus-100-params.txt
Last active September 30, 2015 20:25
This parameters file can be passed to QIIME 1.9.1's pick_open_reference_otus.py command via the ``-p`` parameter to perform OTU picking at 100% identity. This is a computationally inefficient way to do this, so it may not work with very big data sets. We're working on integrating better approaches.
pick_otus:similarity 1.0
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gregcaporaso / iab-ipynb-to-md.ipynb
Created June 17, 2015 14:32
Used for gregcaporaso/An-Introduction-to-Applied-Bioinformatics#140 to convert the ipython notebooks to markdown files.
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gregcaporaso / networkx-dna-test.ipynb
Last active August 29, 2015 14:18
networkx experiment
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gregcaporaso / assignment-5.ipynb
Last active August 29, 2015 14:18
BIO/CS 290, BIO 599 Assignment 5: Spring 2015
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gregcaporaso / pynast-reference-comparison.ipynb
Last active August 29, 2015 14:11
Comparison of using GG 13_8 versus Greengenes core set as the default reference for PyNAST
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gregcaporaso / 180-dev.ipynb
Created November 6, 2014 22:59
comparison of runtime for single_rarefaction.py in QIIME 1.8.0 and 1.8.0-dev
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gregcaporaso / neighbor-joining-experiments.ipynb
Created June 11, 2014 18:57
initial experiments with implementing neighbor joining for scikit-bio
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gregcaporaso / simple-illustration.ipynb
Last active August 29, 2015 14:02
taxa collapsing discrepancy
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gregcaporaso / README.md
Last active August 29, 2015 13:59
quick-and-dirty sortmerna-based consensus taxonomy assigner

This is a first pass at doing rRNA read assignment with sortmerna. This code is completely untested, but provides the framework for starting to test this as an alternative to QIIME's existing taxonomy assigners.

To use this code you'll need:

  • QIIME 1.8.0 or later
  • scikit-bio (latest GitHub version)
  • The sortmerna binaries in your PATH environment variable.
git clone https://gist.github.com/10506167.git smr-tax
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gregcaporaso / README.md
Last active August 29, 2015 13:58
exploring using pandas for QIIME mapping files

Some exploration into how the pandas DataFrame could be a useful underlying representation for QIIME's metadata mapping files.