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

multisplit and or single-sample #368

Open
sheaster opened this issue Nov 13, 2024 · 2 comments
Open

multisplit and or single-sample #368

sheaster opened this issue Nov 13, 2024 · 2 comments

Comments

@sheaster
Copy link

thanks for a great tool!

would there be any benefit to running VAMB with single-sample assembly and binning as well as running VAMB in multisplit mode with differential coverage information included (submitting both sets of bins to dastool for that metagenome)?

or would one expect that multisplit results would be superior and sufficient?

Thanks,
Shea

@simonrasmu
Copy link
Collaborator

simonrasmu commented Nov 14, 2024

Hi Shea,

Multi-sample (multi-split) is preferred for any binning as the co-abundance vector (abundance of contigs across samples) is a very powerful determinant for binning. So with VAMB always use this.

However, with our newest binner TaxVAMB single sample binning is a lot better than it used to be and can rival multi-sample binning - have a look at the pre-print: https://www.biorxiv.org/content/10.1101/2024.10.25.620172v1

Best,
Simon

@sheaster
Copy link
Author

Hi Simon,
Thanks for the response. I will take a look at the pre-print!

This may be a naive question, but how do you conceptualize when it is appropriate to multi-sample bin?
I see in the original VAMB publication, many human gut microbiome samples are run with multi-split - all from a similar environment.
But, for example, how about from different depth in a vertical profile of a water and sediment column (from a lake for example)? Or from different soil sampling sites?

Thanks,
Shea

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