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ollenordesjo avatar ollenordesjo commented on June 23, 2024 1

Hi Domenique,

This looks like it's coming from pyfastx, and might need pinning a version of it in ont-guppy-duplex-pipeline. Could you let me know which version of pyfastx you have installed? Would also be helpful to know which other versions you have installed along ont-guppy-duplex-pipeline if you could share that.

I can feed it back to the guppy team and see if they can get a fix (probably pyfastx pinning) for it.

Cheers!

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dkastl1 avatar dkastl1 commented on June 23, 2024

Here are the versions along ont-guppy-duplex-pipeline:

  • edlib 1.3.9
  • mappy 2.24
  • matplotlib 3.7.1
  • more-itertools 9.0.0
  • natsort 8.4.0
  • numpy 1.21.6
  • pandas 1.5.2
  • parasail 1.2
  • pod5 0.2.3
  • pyfastx 1.1.0
  • pysam 0.19.1
  • tqdm 4.64.1

Thanks!
Domenique

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GeoMicroSoares avatar GeoMicroSoares commented on June 23, 2024

@ollenordesjo any news on this? I'm getting the same error. Thanks!

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Rasinj avatar Rasinj commented on June 23, 2024

Thanks @GeoMicroSoares, just checking internally whether pyfastx can be either pinned to a previous version or whether the code can be updated in ont_guppy_duplex_pipeline! In the meantime, can you try to manually install pyfastx 0.8.4 to see if this fixes the problem? I'm checking the readme, and it seems like pyfastx was at this time returning four values, https://github.com/lmdu/pyfastx/tree/0.8.4.

I'll let you know when I hear back

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onordesjo avatar onordesjo commented on June 23, 2024

Hi @GeoMicroSoares, @dkastl1, it seems like there will be a pinning to pyfastx or a code change happening in the next version. That should fix it. In the meantime for anyone with similar issues, please install pyfastx v0.8.4 manually to avoid this issue.

It's worth keeping in mind that it will be sensible to transition to dorado whenever possible since it will be the main basecaller going forward. Can you let me know if it's possible to convert your fast5s to pod5s and basecall them with dorado duplex?

Thanks in advance!

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