Comments (6)
Hi thanks for sharing this! Was there anything you felt was missing from the quick start? We recently updated this to include detailed parallelization instructions, showing how to run ccs with --chunk, so please take a look!
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@MariaNattestad Hi, MariaNattestad! Thanks to reply! I know how to run ccs with --chunk. But in China, we always got the ccs.bam from the sequencing company. So I don't need to filter the ccs.bam again, and move --chunk in actc. By the way, the ccs with --chunk and without --chunk are spend the same time on my test. If we need to filter the ccs.bam by ourself, --chunk may be more recommanded cause it can run again from the breakpoint.
from deepconsensus.
Thanks for this context. I want to make sure to mention that in the quick start we do recommend running ccs yourself with --all
so that DeepConsensus has the chance to rescue some reads that would have gotten filtered out as being below (usually) Q20 when ccs was run with default settings. Your yield above Q20 will often increase significantly if you are able to rerun ccs with --all
.
from deepconsensus.
@MariaNattestad Thanks to reply! I will try again if the reads depth do not satisficated to assembly an genome.
from deepconsensus.
@shengxinzhuan sounds good! I'll close this issue, but feel free to open a new one (so we get notified) if you have any new issues or questions. We want to understand the problems that our users face using DeepConsensus in practice!
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@MariaNattestad ok, I will open a new one if i meet new problem. Thanks!
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Related Issues (20)
- 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
- bam or fastq issue HOT 2
- Separate subreads for mixed samples? HOT 3
- GPU installation failure with pip HOT 3
- GPU installation using quick start guide fails HOT 5
- OSError: error -3 while reading file HOT 8
- normal pass / fail rate? HOT 2
- KeyError HOT 5
- About making ground truth. HOT 2
- Optimizing runtime on HPC HOT 2
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