Open danchubb opened 4 years ago
Hi, yea the open-source driver program starts over from the gVCF files each time. The machinery for incremental import is actually in the codebase here, the driver program just doesn't expose a subcommand to call the routines that'd open & add to an existing database..................
That's great. Would you be able to give me some pointers on what I would need to change?
I have modified the code locally to load into a preexisting database. Is there anything in the discovering alleles and genotyping process that can be reused when adding new samples to the db, or will this always need to redone when adding new samples?
Nice! The allele discovery is an aggregation with the merge_discovered_alleles
operator, so one could save the intermediates and later merge new ones in; the de/serialization routines are there, just similarly not used by glnexus_cli
right now. That stated, it isn't the costliest step to begin with, so just by not repeating all the sorting & indexing of the GVCF data you'd be a big part of the way there.
Interesting, ok thank you. I will probably just leave it as is for now. Once I sanity check the results a bit more, I will do a pull request.
Hi,
Is there any compiled/tested N+1 version?
I went through the code and made some modifications (mostly on cli_utils.cc ), but I still have some issues.
@mlin, I appreciate it if you could share the solution.
thanks in advance
To clarify, there's a DNAnexus-native version of GLnexus available to their customers, which handles incremental calling and distributed operations. That's not included in this open-source repo, but it's anyway built on the DNAnexus APIs for data management and batch computing. What I was able to point out above, is that some of the subroutines supporting those functions are in this repo, just not used by the open-source glnexus_cli
driver program. That's as far as I can take it for now!
Thanks for the info.
Hi there,
I was wondering - is this a valid way to improve variant calling? In theory, can you take a large cohort dataset such as 1000G or even UK Biobank and merge it with your own a private dataset called on a functionally equivalent pipeline?
Thanks!
Hi,
We're attempting to use GLnexus to joint call the UKbiobank gvcfs alongside batches of in-house exomes. We will be regularly adding to this calling set. From the GLnexus paper it looks like the rocksDB can be updated with new samples for subsequent joint calling but i can't figure out how to do this using the docker container. I can get a single joint call working, but if I use the same DB with additional samples, I get a DB already present error. Is there a way to get this working? Or is it reserved for the DNAnexus version?
Thanks for your time,
Dan