Comments (3)
From your ms (e.g. fig 1B), I see now that errors are a specific part of the model. In this case I'm less sure I understand the issue with longer k-mers. Does it somehow make the errors harder to model -it's not obvious to me how this works.
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The issue is more on the other side. If the kmers are longer we are loosing more informative kmers due to the seq. error. E.g an error at every 50bp is fine, but an error every 20bp cause problems. We discussed that briefly in the revised manuscript. I hope we can share it soon.
from genomescope.
OK great - will close this since it doesn't seem sensible to leave it open if you have an answer that you'll share soon.
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Related Issues (20)
- smaller genome size and lower heterozygosity
- potentially poor fitting model for proposed tetraploid HOT 1
- FAQ not up to date regarding ploidy HOT 1
- No file uploaded error message HOT 3
- Low model fit while ran Genomescope 2.0
- Strange genomescope result HOT 1
- High heterozygous? HOT 3
- No file upload message HOT 1
- Unable to converge HOT 3
- 503 Service Unavailable HOT 2
- mergeing HiFi data of two samples didn't increase hetorozygosity
- Heterozygosity rate < 0 HOT 3
- expectations for pooled samples HOT 2
- Heterozygous tetraploid genome model fit HOT 2
- GenomeScope Output from PacBio Hifi ccs Reads is Confounding HOT 3
- Model and observations don't converge HOT 3
- dup (in figure) and bias (in model.txt) HOT 2
- Follow up RE: Confounding GenomeScope Output HOT 5
- Ploidy determination HOT 1
- Heterozygous peak identified as errors? HOT 3
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from genomescope.