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I am working on Demultiplexing snRNA-seq data from mixed C57BL6/J mouse samples using CellSNP + Vireo. I have multiple snRNA-seq datasets, e.g.:
Sample01 (a mixture of 3 mice)
Sample02 (another mixture of 4 mice)
Since I cannot directly use the Mouse Genome Project genotype data for other mouse strains, I believe I should use model2 to generate VCF files.
My question is:
What is the best strategy for model2b and model1a usage in my case? Should I:
A: Run model2b separately for Sample01 and Sample02, then use the respective VCF files as input for model1a in each sample independently?
or
B: Provide a list of both Sample01 and Sample02 to model2b, generating a shared VCF file that is then used as input for model1a across all samples?
or
C: Use model2a instead of model2b for generating the VCF file?
I would appreciate any guidance on the best approach. Thank you!
The text was updated successfully, but these errors were encountered:
Hi all,
I am working on Demultiplexing snRNA-seq data from mixed C57BL6/J mouse samples using CellSNP + Vireo. I have multiple snRNA-seq datasets, e.g.:
Sample01 (a mixture of 3 mice)
Sample02 (another mixture of 4 mice)
Since I cannot directly use the Mouse Genome Project genotype data for other mouse strains, I believe I should use model2 to generate VCF files.
My question is:
What is the best strategy for model2b and model1a usage in my case? Should I:
A: Run model2b separately for Sample01 and Sample02, then use the respective VCF files as input for model1a in each sample independently?
or
B: Provide a list of both Sample01 and Sample02 to model2b, generating a shared VCF file that is then used as input for model1a across all samples?
or
C: Use model2a instead of model2b for generating the VCF file?
I would appreciate any guidance on the best approach. Thank you!
The text was updated successfully, but these errors were encountered: