Justin Reese
Justin Reese
Unblocked by #235 now
> If we include secondary interactions (covProtein->humanProtein1->humanProtein2), the query gets really slow. @justaddcoffee @deepakunni3 can you review the results of this: Thanks @matentzn! The SPARQL query seems reasonable, but seems...
Thanks @wdduncan - if possible, as you are finding these data bugs, could you have a look at the `provided_by` edge to see which ingest they are coming from?
~~Probably could ingest from [here](https://www.ncbi.nlm.nih.gov/genbank/sars-cov-2-seqs/)~~
Interesting idea. Need clinical data first, possibly via #102
This ticket might be a duplicate of https://github.com/Knowledge-Graph-Hub/kg-covid-19/issues/188
> TTD (Therapeutic Target Database) FWIW we have TTD ingested already [here](https://github.com/Knowledge-Graph-Hub/kg-covid-19/tree/master/kg_covid_19/transform_utils/ttd), others look interesting. STITCH is possibly lower priority since we have STRING already
possibly a duplicate of #115
See also this Noctua model: http://noctua.geneontology.org/editor/graph/gomodel:5e72450500004019 Possibly should be a separate ticket
Update: Nico has produced the transform of the ontologies described above https://github.com/obophenotype/covid-kg-ontology-preprocessing and will give us files we can ingest soon