gi-kent-content / hca-tuatara

A little python-based web site for helping the wranglers and others track incoming single cell projects as they are brought into HCA. The Tuatara has an extra eye which comes in handy in this project.
MIT License
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Search Filter feedback #6

Closed cjvillar closed 4 years ago

cjvillar commented 4 years ago

Change "Effort" to “source”: GEO, pre-publication, ENA ... etc Change Assay techs to "library prep method" ADD ‘organ’ ADD ‘disease’

JimKent commented 4 years ago

Ok. Did this. Disease has so many values it is making me want facets....

pnejad commented 4 years ago

@JimKent Are we capturing disease at the donor or specimen level?

I think we should keep the two separate, or only capture specimen level disease.

For the tonsil dataset, the patients underwent a tonsillectomy due to obstructive sleep apnea. At the donor level, disease = obstructive sleep apnea. Specimen level, disease = healthy/normal.