Memory Issue while doing single cell seq analysis

Question

[cogen859]

Hi,

I am new to scrna seq analysis and other type of analyses on single cell data. My current dataset contains roughly 90K cells and 23K genes and I want to perform LR interaction analysis. I have been running into memory issues while running these analysis pipelines- SingleCellSignalR and Omnipath. I also wanted to test if my seurat cluster analysis is optimal, therefore decided to use R package-ChooseR. And again I ran into memory issues.

Machine Details: Azure Windows VM (64GB RAM and 128GB Temp Storage) and R 64bit version.

Please suggest any steps how I can overcome this type of memory issues. Thank you in advance for your help :)

Answer 1

[GenoMax]

If you are running out of memory then using a VM with more RAM is the only option.