This folder contains tutorials used for teaching. Just like you need to adapt your protocol to your sample, there is not a one workflow fits all when it comes to data interpretation. The scripts proposed here are not to be blindly copy-pasted, but aim at introducing basic methods. You can use some of the tutorials as cheat sheet when developing your own scripts.
Disclaimer: The tutorials are provided without guarantee using simple example datasets. Hopefully you will find them useful. You will surely have more expertise than me on many of these topics, and in biology and programming in general. I apologize in advance for the limitations of the content proposed here. If you have suggestions and comments, please post them on the issue tracker. I will happily extend the tutorials according to your feedback.
You will find the following icons throughout the text:
📝 You need to do something.
💭 A question to trigger your attention on an important point of detail.
💬 Something you might want to discuss.
💡 A tip or an idea for later
- Working on a remote secure server
In this tutorial, you will get some basic principles on how to work on a remote secure server. - Using version control
In this tutorial, you will get some basic principles on how to use version control to track changes and archive your work. - Notebooks
In this tutorial, you will get some basic principles on how to process data programatically using a notebook and document the processing. - Importing and cleaning data
In this tutorial, you will get some basic principles on how to import and clean data. - Making figures without a mouse 🐭
In this mini-workshop, you will get some basic principles on how to generate publication-grade figures without using your mouse.
Unless specified otherwise, the content of this repository is shared under the Creative Commons Attribution 4.0 cc-by-4.0 license.