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There are various queries that use the :DataSet label that are designed for image data. These are fine where they match patterns specific to image data - no scRNAseq data will be returned. However, there are some cases that are more generic:
e.g.
defall_datasets_wrapper(self):
returnClause(MATCH=Template("MATCH (ds:DataSet)"),
WITH="ds",
vars=[],
node_vars=['ds'],
RETURN="%s as dataset"% (roll_min_node_info('ds')))
TBD:
Option1: all_datasets query returns scRNAseq datasets - this should just work if we use the all_datasets query - but will look a bit odd as the technique column will not show scRNAseq and template and image columns will be blank.
Option2: We add a new query for scRNAseq datasets. This needs some way to distinguish them.
The text was updated successfully, but these errors were encountered:
Neo label on scRNAseq datasets is now just DataSet (set here) - was scRNAseq DataSet.
This affects the current scRNAseq query here:
(https://github.com/VirtualFlyBrain/VFB_json_schema/blob/master/src/vfb_query_builder/query_roller.py#LL295C2-L297C76)
With it set to scRNAseq_DataSet - the generic dataset_license query is broken for scRNAseq datasets:
(https://github.com/VirtualFlyBrain/VFB_json_schema/blob/master/src/vfb_query_builder/query_roller.py#L483)
There are various queries that use the :DataSet label that are designed for image data. These are fine where they match patterns specific to image data - no scRNAseq data will be returned. However, there are some cases that are more generic:
e.g.
TBD:
Option1: all_datasets query returns scRNAseq datasets - this should just work if we use the all_datasets query - but will look a bit odd as the technique column will not show scRNAseq and template and image columns will be blank.
Option2: We add a new query for scRNAseq datasets. This needs some way to distinguish them.
The text was updated successfully, but these errors were encountered: