GSE163045

The evolution, evolvability, and engineering of gene regulatory DNA [GPRA]

In order to generate data produce a generalizable sequence-to-expression model, we randomly sampled ~21 million 80 bp sequences and tested their activity as promoters (in yeast) by measuring expression level by FACS (sorting into 18 bins).

Provenance — who produced it, who reused it

Linked to 2 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.

Standardized, field-standard QC computed by touching the data — every metric states how it was obtained

No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.

measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently