CURRENT SITUATION
When preparing pathway classifications, we currently use the following steps:
- Manually source pathway raw data
- Pathway raw data stored locally and here
- Custom GPT run to create draft classification, classification based on cookbook, outputs returned in a standard pathway template
- Manual steps
- Finally, there is a set of scripts that can be used to inject the prepared data into the tool, but these are outdated and only saved locally thus far (
prep_pathway_metadata.R and MetaData.sh)
EXPECTED OUTCOME
- At least the final two scripts need to be updated to the latest schema changes and they should be stored in this repository, ideally including tests based on the pathway_data_prepared excel format
- Any other improvements of the pipeline that are low-hanging fruits should at least be discussed and prioritized
CURRENT SITUATION
When preparing pathway classifications, we currently use the following steps:
prep_pathway_metadata.RandMetaData.sh)EXPECTED OUTCOME