Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

potential bias in SNVs detection? #97

Open
Arsenalwins opened this issue Dec 27, 2024 · 1 comment
Open

potential bias in SNVs detection? #97

Arsenalwins opened this issue Dec 27, 2024 · 1 comment

Comments

@Arsenalwins
Copy link

I completed the pipeline, but I noticed an enrichment of previously thought-to-be rare gene mutations, such as CROCC and DPYS, across most cell types. Could this indicate a bias in the pipeline? For instance, could certain regions of the genome have SNVs that are easier to detect? Should we normalize the SNV counts to the sequencing depth of each cell to accurately reflect the mutation burden in individual cells? thank you for the wonderful pipeline,谢谢!

@Arsenalwins
Copy link
Author

In GO enrichment analysis,I found enrichment of same pathway in all celltypes. I wonder whether you found that before?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant