dscov_singlecell_2024

To use this notebook

1. Go to ood.ccv.brown.edu (you will need an Oscar account).
2. Go to Clusters in the blue menu bar at the top and click the drop-down that says '>_OSCAR Shell Access'
3. Go to your home folder (cd ~)
4. Git clone the repo (git clone https://github.com/compbiocore/dscov_singlecell_2024.git).
5. Go back to ood.ccv.brown.edu and look under Interactive Apps in the blue menu bar and click on RStudio on Singularity under Expert GUIs.

Fill in the fields as follows:

• Account: leave blank
• Partition: leave blank
• Number of hours: 3
• Num Cores: 8
• Memory: 90
• Singularity Container Path: /oscar/data/shared/databases/workshops/dscov/dscov_singlecell_2024/metadata/dscov_singlecell_2024:latest.sif
• Package install Path: leave blank
• Path for R Executable: This should be the full path to the repo root folder in step 4.
• R Module: leave blank
• Additional Data Path: leave blank

Once your job starts, click the button to connect to session. At the top of the screen you'll see a menu bar that starts with 'file', click on 'file' and 'open file'. Open the dscov_singlecell_2024.Rproj file in the root folder of the repo.