I initally made this repo as a resource for colleagues at BCM who had expressed interest in using VS Code when working interactively on a large compute cluster nicknamed Taco (hence the repo name). Over the course of my PhD, I've often worked on a team across projects, and in doing so, I've come across some workflow barriers that I suspect are common to many computational biologists and/or bioinformaticians working in academia. I decided to expand this repo to include some workflow tips which may help with productivity/rigor, linked below.
- Using VS Code on a compute cluster via code-server
- Structuring your lab directory
- Source-controlled collaboration on big data projects
- Backends and frontends for big data in R and Python
- Working with R in code-server
Please submit an issue or PR if you have suggestions or contributions! I'm only speaking from the limited experience I've had, so I'm sure there are many more helpful tips out there.