Corpus 1,282 assessed · 1,183 scored · 647 reproduced ≥75 · 172 flagged ·∅ 74/100
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GSE46876

GEO first seen 2014

The ABRF Next-Generation Sequencing Study (ABRF-NGS): Multi-platform and cross-methodological reproducibility of transcriptome profiling by RNA-seq.

Organism
Homo sapiens; synthetic construct
Samples
105
Type
Expression profiling by high...
Submitted
2013-05-13

Next-generation sequencing (NGS) technology applications like RNA-sequencing (RNA-seq) have dramatically expanded the potential for novel genomics discoveries, but the proliferation of various platforms and protocols for RNA-seq has created a need for reference data sets to help gauge the performance characteristics of these disparate methods. Here we describe the results of the ABRF-NGS Study on RNA-seq, which leverages replicate experiments across multiple sites using two reference RNA standa...

Provenance — who produced it, who reused it

Linked to 3 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.

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