Skip to content

An Introduction to Single Cell RNAseq with Seurat. This session will give an introduction to analysis of single cell RNAseq data using R and Seurat.

License

Notifications You must be signed in to change notification settings

compbiocore/intro_scrna_dscov

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

47 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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 and type git clone https://github.com/compbiocore/intro_scrna_dscov.git
  4. 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: 2
  • Num Cores: 1
  • Memory: 100
  • Singularity Container Path : /oscar/data/shared/databases/workshops/dscov/intro_scrna_dscov/metadata/intro_scrna_dscov.sif
  • Path for rsession executable: (leave blank)
  • Package install Path: (leave blank)
  • R Module: (leave blank)
  • Additional Data Path: (leave blank)
  1. Once your job starts, click the button to connect to session.
  2. At the top of the screen you'll see a menu bar that starts with 'file', click on 'file' and 'open file'.
  3. Go to your home folder where you have cloned this repository and open up notebooks/Intro.qmd

About

An Introduction to Single Cell RNAseq with Seurat. This session will give an introduction to analysis of single cell RNAseq data using R and Seurat.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published