Comments (1)
skovaka
commented on August 16, 2024
When you say a few thousand reads, out of how many? If it's 1,000 out of 1 million, for example, that's a 0.1% error rate, which is about as good as you can expect.
Are you enriching for a single bacterial genome, or multiple? Repeats and low-complexity sequences are the main cause of miss-classification for UNCALLED. Besides that, reducing the number of chunks to attempt mapping is the main way to improve precision, at the cost of sensitivity of course. Hope that helps!
Thanks,
Sam
from uncalled.
Related Issues (20)
- [QUERY] Can I test UNCALLED to always try and map only 2000 raw samples from FAST5 HOT 1
- Uncalled in ubuntu 16 HOT 3
- Segmentation fault in 'uncalled sim' HOT 3
- Floating point exception HOT 8
- uncalled failed to connect to minknow instance HOT 3
- Running Uncalled using Flongle flow cell HOT 2
- Updated Uncalled and Minknow No Longer Working HOT 4
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- Installing UNCALLED4 error HOT 12
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- Visualising f5c resquiggle output in UNCALLED4 HOT 6
- Computer requirement for UNCALLED HOT 1
- `sim` segmentation error HOT 7
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- New release HOT 2
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