Hello!
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!