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DIPP Turku Analysis

After cloning this repo, download the data:

git submodule update --init --recursive

Installation

R v3.1.1 with dependencies:

  • Phyloseq
source("http://bioconductor.org/biocLite.R")
biocLite("phyloseq") # grab some tea
  • dplyr, plyr, ggplot2, reshape2, magrittr
install.packages(c('dplyr', 'plyr', 'ggplot2', 'reshape2', 'magrittr'))

Instructions for generating figures

All figures require an RData file which contains the OTU abundance data as well as sample metadata. This file is created using the script bin/write-rdata. To generate the RData used in this work, run the command make dipp-rf-uniq.RData from the R/ directory.

Figure 1 - Time Series Analysis (GLM)

make glms

Figure 2 - Time Series Analysis (sliding window)

make sliding_window

Figure 3 - 16S, 23S rRNA Phylogenetic tree

I didn't automate this step. Sorry.

Figure 4 - Timing of Autoimmunity

make autoimmunity-timing.pdf

License

The MIT License (MIT)

Copyright (c) 2014 Austin G. Davis-Richardson

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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Analysis code for the DIPP microbiome study

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