Class materials for GGG 298, Tools for Data Intensive Research, WQ 2024 @ UC Davis.
- Lab 1 - Running RStudio and FastQC
- Lab 2 - Files, directories, and running programs
- Lab 3 - Installing software on remote computers with conda/mamba
- Lab 4 - Markdown, HackMD, and GitHub for note taking
- Lab 5 - Lab miniproject on sourmash
- Lab 6 - Shell scripting, automation, and parallelization
- Lab 7 - Automation, parallelization, and snakemake
- Lab 8 - snakemake and GitHub
- Lab 9 - Quarto & Literate Programming; Slurm and HPC