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errors during installation via conda/mamba #78

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ulrichmarkus opened this issue Nov 24, 2023 · 2 comments
Open

errors during installation via conda/mamba #78

ulrichmarkus opened this issue Nov 24, 2023 · 2 comments

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@ulrichmarkus
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ulrichmarkus commented Nov 24, 2023

Dear Lennard,

is the tool seroba still maintained?
We had issues with the installation via conda and mamba.

#Standard installation from readme.md
conda install -c bioconda seroba
--> error with incompatible glibc versions.

#Standard installation from bioconda
mamba install seroba
--> seroba does not exist

Could not solve for environment specs
The following package could not be installed
└─ seroba does not exist (perhaps a typo or a missing channel).

#Installation with custom yml file with information from this post
#conda conda env create -f seroba.yml
--> worked, but after setting up databases, we got this error:

ERROR: I tried to get the version of nucmer with: "/mnt/localdata/homes/user/miniconda3/envs/seroba/bin/nucmer --version" and the output didn't match this regular expression: "^NUCmer (NUCleotide MUMmer) version ([0-9.]+)"
Something wrong with at least one dependency. Please see the above error message(s)
Traceback (most recent call last):
File "/mnt/localdata/homes/user/miniconda3/envs/seroba/bin/seroba", line 3, in
import seroba
File "/mnt/localdata/homes/user/miniconda3/envs/seroba/lib/python3.6/site-packages/seroba/init.py", line 16, in
from seroba import *
File "/mnt/localdata/homes/user/miniconda3/envs/seroba/lib/python3.6/site-packages/seroba/kmc.py", line 6, in
ext_progs = external_progs.ExternalProgs()
File "/mnt/localdata/homes/user/miniconda3/envs/seroba/lib/python3.6/site-packages/seroba/external_progs.py", line 90, in init
raise Error('Dependency error(s). Cannot continue')

We then removed line 15 and 27 in the script external_progs.py.

Now we can call seroba but not sure if it really works now.

Thanks for your time and input on this topic!

All the best,
Markus

@emmagraffice
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Having the same issue. Have you found any solutions?

@ulrichmarkus
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no we dropped this tool and found another way to analyse our data without using seroba. but if it is possible for you, maybe just pull the docker container. if this is build with the original tools and dependencies then it should work just fine...

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