Materials for the 2023 ISB Virtual Microbiome Series

Output

All output generated during the walkthrough can be found in the treasure chest. The easiest way to get all of that is to download the entire repository.

Part 1: Amplicon Sequencing Data Analysis with QIIME 2

Presentation: Notebook:

You can see the actual workshop walkthrough at https://gibbons-lab.github.io/isb_course_2023/16S. Press ? to get a list of available live options such as slide overviews and speaker mode. Note that some slides are grouped vertically, you can navigate the presentation using the directional buttons on your keyboard. A PDF version (lacks the output previews) is also available.

Part 2: Predicting personalized pathogen engraftment with metabolic models

Presentation: Notebook:

You can see the actual workshop walkthrough at https://gibbons-lab.github.io/isb_course_2023/micom. Press ? to get a list of available live options such as slide overviews and speaker mode. Note that some slides are grouped vertically, you can navigate the presentation using the directional buttons on your keyboard. A PDF version (lacks the output previews) is also available.

Licensing

All source code is licensed under the Apache License 2.0. This includes the notebooks deployed via Google Colaboratory.

Content and artwork is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

This covers:

• Text content of the presentations.
• Illustrations and derived renders in the illustrations folder.
• Top level images in docs/*/assets.

The following content is not publically available and is not covered under the CC license above:

• Everything in the docs/*/assets/isb folders.
  Those are images relating to the Institute for Systems Biology identity like backgrounds and logos that are licensed exclusively to the Institute for Systems Biology, Seattle, WA, USA.
• Everything annotated as having been generated with Biorender. This artworks is licensed under the terms of the Biorender license.

If a particular creator is mentioned in the images please retain this attribution in derived materials.

FAQ

How do the presentation slides work?

The presentation itself is a webpage hosted on GitHub. Basically, it renders dynamically from a markdown file that includes the course. Editing the markdown file is sufficient to change the content of the presentation.

See the reveal docs for more info.

Preview locally

Open a terminal in the docs folder in the repo and use:

python -m http.server

This will preview the talks at localhost:8000/16S and localhost:8000/models in a browser. Editing the markdown and reloading the page should be enough.

PDF output

To generate a PDF of the course, open up the website in chromium or chrome and append ?print-pdf to the address. For instance, if you ran it locally as described above, open localhost:8000/16S?print-pdf in the browser. Then, choose 'print to PDF' (choose margins: none).