Issue with normalization of seurat object

Firstly, thank you for creating and sharing such a great resource

I am interested in creating a Seurat object out of the Mouse Whole Cortex and Hippocampus 10x RNAseq data, specifically only interested in the hippocampus cells (‘HIP’)

I managed to access and filter for HIP the gene expression matrix.csv file using an SCC to surpass the size memory limitations.
However, when I try to normalize the data in the standard Seurat workflow, I come across this error:

hp_allen ← NormalizeData(hp_allen, assay = “RNA”)
Performing log-normalization
0% 10 20 30 40 50 60 70 80 90 100%
Error: All cells in the object being added must match the cells in this object

I am using R version 4.2.3 (2023-03-15)

Any insight on what I might be doing wrong?

Thank you!

Sorry for the late reply…

Seurat v5 provides a way not to load the whole data into memory and do the analysis. Please take a look here for the detail.