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

How to use replicates? #11

Open
imerelli opened this issue Oct 10, 2023 · 3 comments
Open

How to use replicates? #11

imerelli opened this issue Oct 10, 2023 · 3 comments
Labels
good first issue Good for newcomers

Comments

@imerelli
Copy link

Hi, I have replicates for the two conditions to test. How I can I use them? I don't see option to use replicates.

@Tian-Dechao
Copy link
Owner

Hi Ivan, in case each condition has multiple Hi-C replicates, DiffDomain takes the combined Hi-C contact matrix from the replicates as the input which is a common practice to generate a large number of Hi-C interactions.
So in your case, please merge the replicates in each condition into a combined Hi-C data and then feed the combined data to DiffDomain.

@Tian-Dechao Tian-Dechao added the good first issue Good for newcomers label Oct 11, 2023
@imerelli
Copy link
Author

Hi Tian, thank you for your answer. The problem is that I was explicitly asked to take into account replicates in order to have statistics about the different tads, like in RNA-seq, therefore merging is not an option. I was wondering if you are planning something in this sense, creating tad by tad a sort of distribution and then testing it case vs control. I know it's difficult for intervals, such as for atac-seq, but for example diffbind implements a similar approach.

@Tian-Dechao
Copy link
Owner

Tian-Dechao commented Oct 11, 2023

Hey Ivan. Current version of DiffDomain cannot take the replicates as the input. We are sorry about this. Indeed, it is challenging for comparing TADs using replicates Hi-C data. We will take this as a future work. Please stay tuned.

Meanwhile, I would recommend trying DiffDomain on combined Hi-C data. From our extensive analysis, using only combined Hi-C data achieves reasonable results (see our bioRxiv paper here)

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

No branches or pull requests

2 participants