Corpus 1,275 assessed · 1,176 scored · 644 reproduced ≥75 · 170 flagged ·∅ 74.1/100
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GSE121526

GEO first seen 2019

Reconstruction of the global neural crest gene regulatory network in vivo [bulk RNA-seq]

Organism
Gallus gallus
Samples
11
Type
Expression profiling by high...
Submitted
2018-10-19

Precise control of developmental processes is encoded in the genome in the form of gene regulatory networks (GRNs). Such multi-factorial systems are difficult to decode in vertebrates owing to their complex gene hierarchies and transient dynamic molecular interactions. Here we present a genome-wide in vivo reconstruction of the GRN underlying development of neural crest (NC), an emblematic embryonic multipotent cell population. By coupling NC-specific epigenomic and single-cell transcriptome pro...

Provenance — who produced it, who reused it

Linked to 1 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.

Deposited / produced by
Ruth M WilliamsIvan Candido-FerreiraEmmanouela RepapiDaria GavriouchkinaUpeka SenanayakeJelena TeleniusIrving LingStephen TaylorJim HughesTatjana Sauka-Spengler
Reused by

Deep data QC

metadata only · no data-level QC for this type

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.

QC cost 23 s compute

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