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Wrapper to go through project datasets and do revalidation in one-stop-shop manner. This works best when datasets are directly under "Raw Data" (the standard and most-preferred organization) or at most one additional level of nesting. See https://help.nf.synapse.org/NFdocs/how-to-organize-data. For selective validation or more complicated structures, look at meta_qc_dataset to do manual or interactive dataset-by-dataset validation.

Usage

meta_qc_project(project_id, result_file = NULL, ...)

Arguments

project_id

Synapse project id.

result_file

If not NULL, also write to output to .csv file.

...

Params passed to meta_qc_dataset.

Value

A table of with rows for the datasets QC'd, with dataset id, name, TRUE/FALSE pass result, and summary; otherwise NA.