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I was wondering if singlem (specifically the microbial fraction module) would work adequately on Nanopore/PacBio long-read datasets (metagenomic reads and assemblies)?
Or are there any special settings that would optimize for long, slightly erroneous reads?
Best,
Mantas
The text was updated successfully, but these errors were encountered:
We have a plan for incorporating nanopore reads (there's an additional complication that if multiple genes are encoded by singlem will not work well), but aren't there. I hope I can say something more soon.
microbial_fraction is especially prone to that problem, I would hazard a guess.
Thank you for developing this awesome tool.
I was wondering if singlem (specifically the microbial fraction module) would work adequately on Nanopore/PacBio long-read datasets (metagenomic reads and assemblies)?
Or are there any special settings that would optimize for long, slightly erroneous reads?
Best,
Mantas
The text was updated successfully, but these errors were encountered: