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

LogR calculation for tumor-only WES #177

Closed
berguner opened this issue May 8, 2024 · 3 comments
Closed

LogR calculation for tumor-only WES #177

berguner opened this issue May 8, 2024 · 3 comments

Comments

@berguner
Copy link

berguner commented May 8, 2024

Hi,
First of all thank you for this great tool.

I have some tumor-only WES samples that I would like to analyse but I am not sure how LogR values would be calculated. Here it says that read counts are normalized for median depth of coverage across autosomes but that wouldn't be ideal. Is it possible to use mean depth of coverage of all the targeted regions in a bunch of normal samples so that coverage bias of the enrichment probes would be taken into account?

@berguner berguner changed the title Tumor only WES LogR calculation for tumor-only WES May 8, 2024
@zhangzhhcb
Copy link
Collaborator

zhangzhhcb commented May 9, 2024

Hi, I don't understand your meaning about the "mean depth of coverage of all the targeted regions in a bunch of normal samples", considering you said it is tumor-only WES data. Please refer to this post for your question as well. (#151)

@berguner
Copy link
Author

I wanted to ask if calculation of LogR values based on a panel of normals was possible. It seems like that was also recommended in #151 but no one has implemented it yet for WES.

@zhangzhhcb
Copy link
Collaborator

Hi, the best option is the paired normal. Using a panel of normals may cause noisy results and we haven't evaluated the impact yet. However, if paired normals are not available, a panel of normals is one option.

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

2 participants