The purpose of this course template and guide is to make course publishing maintenance across multiple different platforms less painful.
This template and guide helps you:
- Edit and write a course in RMarkdown files and have it published to multiple different platforms:
- Have Github action robots do your repetitive tasks like spell check and re-rendering.
- Use automagic conversion to ease the lift of prepping the material for different platforms' formats.
- Use our Docker image for consistency across authors as well as to help you avoid dependency hell.
- Documentation and Usability
- Leadership for Cancer Informatics Research
- Reproducibility in Cancer Informatics
- Advanced Reproducibility in Cancer Informatics
- Go to the Wiki page
- Please take a look at the code of conduct.
- If you encounter any problems or have ideas for improvements to this template repository or this getting started guide, please file an issue here! Your feedback is very much appreciated.
This course was created from this GitHub template.
You can see the rendered course material here: {Link to rendered bookdown and/or to the Leanpub. Will look something like: https://jhudatascience.org/{Course_Name}}
If you would like to contribute to this course material, take a look at the getting started GitHub wiki pages.
This course introduces {info on what this course introduces}
This course will teach learners to:
- A brief Introduction to copy number analayis
- Copy number Analayis using CNVpytor
If you are encountering any problems with this course, please file a GitHub issue or contact us at {Some email or web address with a contact form}.
All materials in this course are licensed under a Creative Commons Attribution 4.0 International License unless noted otherwise.