Comments (4)
from genomescope.
Mike as usual thanks for the quick and informative reply. The example helps understand a lot.
Oh and I agree I think these numbers are all fair estimates in both values of k.
I noticed your kmer
peaks are truncated at 100,000 which probably contributes to some of this
variance, especially for the genome size. If you increase this to 1,000,000
I would be the values to be even closer.
I'm not sure I understand your meaning about truncated peaks. I've included an upper count of 1e6 in jellyfish and set that as max kmer coverage in GS as well. Am I confusing these terms?
Yes, Merqury suggested a k-mer of 20 as optimal for our genome size whether diploid or haploid.
But looking at the distributions I noticed that the 1x-het-peak looks shorter with that value, and was wondering if we were excluding potential hets. As you say, larger k more unique kmers.
So, where does the model fit... um fit? It seems arbitrary to me to use this as a "kmer selection method"? What are your thoughts?
Thanks again,
Ben
from genomescope.
from genomescope.
Thanks mike! I'll re-read the supplement.
from genomescope.
Related Issues (20)
- 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
- Estimated genome size is half HOT 2
- Should a larger K value be chosen? HOT 1
- Is command line for ploidy different? HOT 4
- Please help me to understand output
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from genomescope.