-
Notifications
You must be signed in to change notification settings - Fork 32
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
Re-run with subset of samples #54
Comments
Hi @shlomobl I see... You can definitely do that but it requires some expertise by dealing with the Maybe the easiest way now is to remove those samples from the metadata file and to speed up the tormes run by:
As I told you here #56, we are developing a major release of the pipeline and this issue is one of the improvements we are willing for, as more users requested similar features. Sorry for not being more helpful at this time! I will update you as soon as we release the new version! Best, |
Hi,
Good news (major release)!
I will try with both options you suggested.
Thanks!
S.
…On Fri, Jun 17, 2022 at 10:40 AM Narciso Martin Quijada < ***@***.***> wrote:
Hi @shlomobl <https://github.com/shlomobl>
I see... You can definitely do that but it requires some expertise by
dealing with the rmarkdown files generated by tormes (if your aim is that
those samples not to appear in the interactive report). In any case, some
analysis must need to be re-done (such as the trees) as they are widely
affected by each sample and samples cannot be simply removed form the
output.
Maybe the easiest way now is to remove those samples from the metadata
file and to speed up the tormes run by:
- making all samples as GENOME in such files (as you have already the
assemblies if this would be your second run)
- use the option only_gene_prediction to skip annotation (as you might
already have the annotation results if you need them)
As I told you here #56 <#56>,
we are developing a major release of the pipeline and this issue is one of
the improvements we are willing for, as more users requested similar
features.
Sorry for not being more helpful at this time! I will update you as soon
as we release the new version!
Best,
Narciso
—
Reply to this email directly, view it on GitHub
<#54 (comment)>,
or unsubscribe
<https://github.com/notifications/unsubscribe-auth/ABKL3XN6DPSDC5QIHFVMPALVPQTXNANCNFSM5YP4OXGQ>
.
You are receiving this because you were mentioned.Message ID:
***@***.***>
--
*Dr. Shlomo Blum, DVM PhD*
*KSVM Bacteriology and Mycology Lecturer*
*Head of Dept. of Bacteriology and Mycology*
*Kimron Veterinary Institute*
*POB 12*
*Bet Dagan, 50250*
*Israel*
*Tel.: +972-3-9681680*
*Mob.: +972-50-6241862*
|
Hi,
Is there a way to run part of the pipeline on a subset of the initial genomes, without running it all over again?
For example, if there are some "outliers" that I want to remove from the final analysis/report/trees, and run only the core-SNP etc. parts?
Thanks!
The text was updated successfully, but these errors were encountered: