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Which KP can provide metabolic pathway data for Translator? #64
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@karafecho The Genetics KP team is in the process of promoting new data through our stack that has KEGG and WIKIPATHWAYS data. It's currently in our dev stack.
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Thanks, Mark! This type of query could be very useful for Translator. |
@sierra-moxon @karafecho NCATS will be creating an RaMP DB KP over the summer |
Wow! Thanks for the update, Sarah. |
@sstemann Can you put us in touch with the developers of the RaMP API? Since the API already exists, it's possible we can annotate/register it in SmartAPI and have it accessible through BTE without any further development. We were about to get on that, but have one detail we'd like to follow up on first. |
This is linked with #2 |
Service Provider provides access to a rhea API -- more info in biothings/mychem.info#37 RaMP is ongoing -- linking the currently open issue at biothings/biothings_explorer#705 |
MolePro is in the process of assimilating the Reactome DB, which is "an open-source, open access, manually curated and peer-reviewed pathway database". In Reactome, the metabolic pathways are grouped under Metabolism, which has the Reactome identifier R-HSA-1430728. |
we deferred to BTEs RaMP integration. If any of these are targeted for this funding phase of the program can folks please add a release (guppy, hammerhead, etc) to the label? @codewarrior2000 @andrewsu |
Given the recent emphasis on eliminating redundant ingestion of resources into Translator, I'm rethinking how we approach RaMP. TLDR: I don't think we should ingest RaMP directly, but rather focus on Lipid Maps, the only resource that isn't otherwise already present in Translator. More details below... According to https://rampdb.nih.gov/about, RAMP is an aggregator of the following resources:
My analysis of each one of those resources: HMDB
Reactome
Wikipathways
KEGG
ChEBI
Lipid Maps
Rhea
Bottom line, the only one that isn't currently ingested into Translator is Lipid Maps. Unless there are objections, I think we should:
There also is the issue of whether the resources above have been captured as completely in the sources above as they have been in RaMP, but barring a drastic difference in completeness/accuracy, I think we should focus on improving the existing resources over adding new ones. |
@andrewsu I agree that it makes more sense to improve upon the existing resources. A couple of nuances worth mentioning:
Happy to discuss more during the relay as well. |
The QotM identified PharmGKB, RaMP DB, Rhea-DB, and KEGG Pathway DB as potential sources of metabolic pathway data.
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