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My knowledge about LRS and ONT is mostly theoretical for now. I read several papers where the config file trained with e. coli underperformed when not using the same species, which makes total sense. I was wondering with was the models from Rerio were trained : a mix of different species, human, mammals?
My question gets a bit more precise when I'm working with mitochondrial DNA, which has some particularities of the host they're are in and also some bacterial phage, would you recommend any particular model ?
cheers,
The text was updated successfully, but these errors were encountered:
I have the same question. I have recently used megalodon to basecall mammalian mitochondrial reads from a 9.4.1 minion run. Most were at 0%, as expected, but overall, the average level was quite a bit higher than with nanopolish. For instance, I got several loci reported as over 70% methylated with megalodon while none were over 35% with nanpolish. I assume this is a training issue.
Hi @tonperre,
Apologies for the long delay in replying to this issue! The basecall models are trained using data from a range of species, kingdoms, and domains. We would always recommend using the latest iteration of basecall model and software (currently dorado-v0.5.2 which contains the basecall-model-v4.3.0).
Please let us know if you want any further guidance on picking the right model for your experiment class.
Hi,
My knowledge about LRS and ONT is mostly theoretical for now. I read several papers where the config file trained with e. coli underperformed when not using the same species, which makes total sense. I was wondering with was the models from Rerio were trained : a mix of different species, human, mammals?
My question gets a bit more precise when I'm working with mitochondrial DNA, which has some particularities of the host they're are in and also some bacterial phage, would you recommend any particular model ?
cheers,
The text was updated successfully, but these errors were encountered: