Code and Data to reproduce figures in -> Relationship of bacterial phylotype with specialized metabolite production in the culturable microbiome of two freshwater sponges

<p>To reproduce the figures/analyses from this work, download the entire Zenodo code/data release (warning- this is a few GB large)</p> <p>Due to a requirement of the mass spectrometry conversion software, data was first converted on a Windows machine to an IDBac database using the script `R/convert_from_bruker.R`. ProteoWizard must be installed before running this script.<br> &nbsp;<br> The resulting SQLite database is available within the Zenodo code/data release</p> <p>To reproduce the figures/analyses you will need to download the Zenodo code/data release and have Docker installed</p> <p>To build the Docker image from scratch open a terminal at `sponge_analysis` and run the following command (warning: this is not fast):<br> &nbsp;</p> <pre><code class="language-bash">docker build -f dockerfile --tag chasemc2/sponge_manuscript .</code></pre> <p>The image has also been archived within the Zenodo code/data release as &quot;docker_image.tar.gz&quot;</p> <p>To build the notebooks/create the figures open a terminal at the top directory of the downloaded Zenodo code/data release and run the following three commands :</p> <p><br> &nbsp;</p> <pre><code class="language-bash"> docker run --user `id -u` --rm -ti -v${PWD}:/top -w/top/analyses chasemc2/sponge_manuscript Rscript -e 'rmarkdown::render("analysis.Rmd", params = list(conditions = "all") , output_file = "all_isolates.html")' docker run --user `id -u` --rm -ti -v${PWD}:/top -w/top/analyses chasemc2/sponge_manuscript Rscript -e 'rmarkdown::render("analysis.Rmd", params = list(conditions = "matched"), output_file = "matched_isolates.html")' docker run --user `id -u` --rm -ti -v${PWD}:/top -w/top/analyses chasemc2/sponge_manuscript Rscript -e 'rmarkdown::render("16s_analysis.Rmd")'</code></pre> <p>&nbsp;</p>