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

trained VNTR models for Nanopore data #33

Open
nbargues opened this issue Aug 5, 2020 · 3 comments
Open

trained VNTR models for Nanopore data #33

nbargues opened this issue Aug 5, 2020 · 3 comments

Comments

@nbargues
Copy link

nbargues commented Aug 5, 2020

Hi, when I download vntr_data_recommended_loci.zip , there are two files ( illumina and pacbio ). If I have Nanopore data, can I choose the pacbio file or do you have a specific nanopore file that I can find ?

@mehrdadbakhtiari
Copy link
Owner

Hi, we haven't extensively tested and measured the accuracy on Nanopore data. However, you can use the file related to pacbio and it should work reasonably well. Although they have relatively different error profile, given the long read in both there can be long run of well aligned basepairs so you can try to run the tool with pacbio data and --pacbio argument.

@nbargues
Copy link
Author

nbargues commented Aug 6, 2020

Thanks for the response.
So you suggest to use --pacbio argument, even if I have Nanopore data and that you have a --nanopore argument ?

@mehrdadbakhtiari
Copy link
Owner

Yes, --nanopore is not fully tested and current version won't let the code run. But I assume by pacbio parameters you can still get a relatively good results and it worth trying.

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