Comments (3)
Hi @gevro
Thank you for your questions.
For #1 (pbmm2 for ccs mapping), we need the alignment of the subread to be performed relative to the CCS molecule. This is required so that insertions and deletions present in the subread relative to the final consensus can be accounted for, so that by the end of the molecule there aren't large differences in the relative positions between the subreads. We do expect there to be more efficient ways of performing this task, and improving this is one of the major areas of current investigation.
For #2 do you want BAM files in unmapped BAM format (not relative to any reference), or are do you want BAM files mapped to a supplied reference. If you want the former, we can consider expanding the output formats for DeepConsensus. If it's the latter, that would require more thought on our part.
For these early issues, I want to point out that DeepConsensus in its current form isn't very scalable outside of Google infrastructure. It may be useful for targeted regions, but full SMRT cells will not be tractable. We plan to improve scalability to make it more generally useful in subsequent releases.
Thank you,
Andrew
from deepconsensus.
Thanks. For #2, I meant the former. Most other PacBio tools work with unmapped BAM rather than fastq. So it would be good to stay consistent with that.
Also, is there a way to contact you/deepconsensus team via direct message with some other ideas?
from deepconsensus.
Hi @gevro,
Writing unmapped BAM is a very reasonable request. I'll see how much work it will be to accommodate that.
We would welcome thoughts on DeepConsensus. For now, you can email [email protected], and I'll confer with the broader team on how to include them in the conversation.
from deepconsensus.
Related Issues (20)
- Missing about 30% of ZMWs in output HOT 2
- actc and kinetic data orientation HOT 2
- deepconsensus on metagenomic data HOT 2
- no subreads available HOT 2
- Error: ModuleNotFoundError: No module named 'pandas._libs.interval' HOT 6
- Running deepconsensus results in "free(): invalid pointer" error HOT 15
- Missing majority of ZMWs after running lima to search for adapters HOT 4
- HPC resource managment not working with deepconsensus
- Use of samtools and awk to filter incorrect alignments. HOT 2
- Lower number of >Q30 average quality reads for v1.1 compared to v0.3 HOT 10
- Error detecting params.json using docker in debian (10) HPC HOT 2
- Installation from source file problem HOT 2
- lower quality and less reads in deepconsensus 1.0 output compared to ccs HOT 2
- python 3.9 HOT 2
- [Repeat] Running deepconsensus results in "free(): invalid pointer" error HOT 17
- QV for each ccs reads HOT 2
- Public raw train dataset availability HOT 2
- Cannot open/create ccs.bam file? HOT 6
- vRAM limit HOT 1
- the label without alignment HOT 5
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from deepconsensus.