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Problem using Google Colab notebook: 1. Install pharokka and phold - pyhmmer
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#375
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pyhmmer
query_name
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Hi @mfmarston , Thanks for raising this - turns out the error has nothing to do with Colab or installation per se, it has to do with pyhmmer's latest update to v0.11.0 https://github.com/althonos/pyhmmer/releases/tag/v0.11.0 last week fixing this issue althonos/pyhmmer#76 - ' I will push a fix for pharokka soon - in the mean time you can fix this in colab (or in regular conda installation for anyone else reading this) by force install pyhmmer v0.10.15. i.e. you can change the line in cell 1 from:
to
George |
Specifically this is the error:
|
Thank you!! I changed the line of code in Colab and am running my samples now. Thank you for providing the line to change and for making these programs available in Colab. |
No problems @mfmarston - once pharokka v1.7.5 is on bioconda, I will update the notebooks and there should be no remaining issues. George |
In early December 2024, I used the Google Colab notebook to run Pharokka and Phold and it worked well. https://colab.research.google.com/github/gbouras13/pharokka/blob/master/run_pharokka_and_phold_and_phynteny.ipynb#scrollTo=Ii39RG8eOZUx
On Jan 17 and 18 2025, I tried to run the programs in Colab and received errors in Cell 3 that I believe were due to a problem with installing the programs in Cell 1. I have a Colab Pro+ subscription. I am accessing Colab using Safari on a M2-Pro running Somona 14.7.2.
Error in Cell 3:
Input file RIP4_RW_02_0910.fasta exists
Running pharokka
Error occurred: Command 'pharokka.py -d pharokka_db -i RIP4_RW_02_0910.fasta -t 4 -o RIP4_RW_02_0910output_pharokka -p pharokka -l Default -g phanotate -f --fast' returned non-zero exit status 1.
CPU times: user 157 ms, sys: 23.4 ms, total: 180 ms
Wall time: 52.9 s
Cell 2 output:
Downloading pharokka database. This will take a few minutes. Please be patient :)
Downloading phold database. This will take a few minutes. Please be patient :)
CPU times: user 993 ms, sys: 190 ms, total: 1.18 s
Wall time: 6min 14s
0
Cell 1 "completed" in 4 minutes but the output consisted of 100s of spaces with little or no text ending in:
libnvjitlink-12.6.85 | 14.9 MB | ########## | 100%
cudnn-8.9.7.29 | 446.6 MB | ########## | 100%
... (more hidden) ...
libtorch-2.4.0 | 491.8 MB | ########## | 100%
done
Preparing transaction: done
Verifying transaction: done
Executing transaction: \ By downloading and using the cuDNN conda packages, you accept the terms and conditions of the NVIDIA cuDNN EULA -
https://docs.nvidia.com/deeplearning/cudnn/sla/index.htmldone
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