I am working on functional annotation workflows in Galaxy using KofamScan. Currently, the tool is available, but the KOfam database (HMM profiles of KEGG Orthologs) is not installed, so I cannot select a database when running the tool.
Could you please install the KOfam database bundle required for KofamScan (HMM3 profiles + threshold files)? This will allow me to assign KO numbers to my Prodigal protein outputs and proceed with KEGG pathway completeness and visualization.
The reference for the database is:
Aramaki et al., Bioinformatics (2019), KofamKOALA: KEGG Ortholog assignment based on profile HMM and adaptive score threshold.
There is one more option that would involve setting up a local Galaxy server (probably the Docker version), obtaining a data license, and hosting the tool/index for your own or group’s private use. This could be worth it for bulk analysis that the web portal may be unsuitable for.
Please give this a review and let us know if it helps, or if you would like to learn more about setting up your own server for this kind of data analysis.