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.
You can see the actual workshop walkthrough at
https://gibbons-lab.github.io/isb_course_2022/16S. 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.
You can see the actual workshop walkthrough at
https://gibbons-lab.github.io/isb_course_2022/models. 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.
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.
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.
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.
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).