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

Spike-in normalisation #21

Open
Rseq opened this issue Nov 7, 2020 · 0 comments
Open

Spike-in normalisation #21

Rseq opened this issue Nov 7, 2020 · 0 comments

Comments

@Rseq
Copy link

Rseq commented Nov 7, 2020

Hi,

Thanks for developing MAnorm.
I have a question regarding normalisation.
Is it possible to normalise by spike-in or using in such way that doesn't correct the library size in each condition?

The way I normalised was by inserting 10% of spike-in mice control with my human cells samples.
I mapped each to its genome, creating a factor between the number of mapped mice reads and human ones and correcting the library size of each sample by the factor. In such a way, I can assume that the quantitative difference I'm observing is biological..
If I understood right, MAnorm ignores that. So it would be great if I could skip any lib size correction.

Hope to hear from you.

many thanks

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