Comments (3)
I'll look into implementing a '--resume' function after diamond has been run - this might also be useful if users want to query the results of a different completeness model when they didn't initially specify it. I probably won't get to this for ~ a month though. In the mean time, if you are running checkM2 on identical bins, you can save the results of the output and reuse it? If the contigs in the bins change, the checkm2 results will also change.
from checkm2.
In my case contigs do not change (their sequences and ids do not change) but their repartitions in bins change making checkM2 prediction change as well. As the contigs do not change, it would be faster to launch Diamond only once and use its result to analyze all bin sets.
I could try to make it work with the resume flag. For that I would need to launch prodigal and diamond on all contigs and shape their results specifically for each bin set mimicking what checkM2 would produced. Then I launch checkM2 with the resume flag and hopefully it will resume. It would not be the cleanest option but it would work.
from checkm2.
I can try to implement a first version of the --resume
flag and make a pull request if you are alright with that?
from checkm2.
Related Issues (20)
- Cannot install ChekM2 HOT 1
- Question about Checkm2 Annotation HOT 1
- Checkm2 flags certain species and genera as contaminated on a consistent basis.
- the version checkm2 v1.0.2 was not available on conda HOT 1
- Error in DIAMOND execution HOT 2
- [Feature Request] Use #!/usr/bin/env python instead of hardcoding python path
- AttributeError: 'Predictor' object has no attribute '__set_up_prodigal_thread' HOT 2
- Random errors on clusters HOT 3
- Database update? HOT 2
- TypeError: metaclass conflict HOT 7
- coding density
- Can Checkm2 be fine-tuned for euMAGs? HOT 1
- Got different results of the same genome from the different runs of checkm2 HOT 3
- testrun error: AttributeError: module '__main__' has no attribute '__spec__'
- Testrun ERROR: No DIAMOND annotation was generated. HOT 2
- test run yields different results HOT 1
- Database download failed HOT 3
- Naming Output TSV File
- TypeError: split() error
- AF_UNIX path too long HOT 2
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