James Ferguson
James Ferguson
oooh right. fast5_fetcher_multi paired with ont_fast5_api would be the tool for that. for each barcodeXX.fastq file do something like this ``` mkdir dmux_barcode01_single # extract the individual fast5 files python3...
Ahh, well the only DNA signal level barcode out there I know of is Deepbinner. But it's depricated now if I remember correctly. Motifseq isn't sensitive enough to do it...
It would work, yes, but not as effectively as a base level derived demultiplexer. Only a system using some form of machine learning/learning like used in Deepbinner or what we...
Uncalled uses the Readuntil api, are you planning to do the demultiplexing in real time? Or are you looking to run uncalled after a run? The accuracy of uncalled is...
If you want to benchmark to see how well it does, you can use the regular demultiplexing data to split the uncalled data output and assess that way. Then if...
Sounds about right yea. Plus the fiddly bits in between. Good luck!
You are welcome. If it is the case, I'll build a demultiplexer
Yes. I'm going to extend that to DNA. Planning to have something in a few months.
Hello, Is it a multi-fast5 file? (multiple raw signals in a single file, usually with a file size of 80mb or higher) If so could you try running the same...
That's weird. I'll run some tests and see if I can track this down. I'll get back to you soon. James