10 Annotating amino acid sequences

[ccbaumler]

Hello,

Just above the challenge portion of section 10 annotating amino acid sequences the instructions dictate installing KEGGDecoder. When attempting this I received this error:

note: This error originates from a subprocess, and is likely not a problem with pip.
error: legacy-install-failure

 × Encountered error while trying to install package.
╰─> numpy

After some different attempts, I found that KEGGDecoder's installation section suggests operating in python=3.6.

#changed the python version in kofamscan environment to 3.6
(kofamscan) baumlerc@bm14:~/2020_rotation_project/kofamscan$ python --version
Python 3.10.4
(kofamscan) baumlerc@bm14:~/2020_rotation_project/kofamscan$ conda install python=3.6

Best,
Colton

[ctb]

suggest creating a new conda environment containing just python=3.6, and then doing the install in there!

[taylorreiter]

we should probably update this to use eggnog mapper in hmm mode, and then pick a new viz

[taylorreiter]

Actually I changed my mind -- eggnog doesn't assign kegg orthologs directly -- instead it assigns a COG term, and then I think uses DB joins to assign possible KOs. This process results in potentially multiple KOs per gene, without the scoring info to determine which has the best score or domain information to tell what part of the protein the KO corresponds to. kofamscan assigns a single kegg ortholog by default (the one with the best match), and can provide more detailed info on request. Having a best match dramatically simplifies downstream analysis for biological interpretation.

we should still probably pick a different viz though, something more stable..shrug.