A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequence Quality Control consortium
We present primary results from the Sequencing Quality Control (SEQC) project, coordinated by the United States Food and Drug Administration. Examining Illumina HiSeq, Life Technologies SOLiD and Roche 454 platforms at multiple laboratory sites using reference RNA samples with built-in controls, we assess RNA sequencing (RNA-seq) performance for sequence discovery and differential expression profiling and compare it to microarray and quantitative PCR (qPCR) data using complementary metrics. At a...
Provenance — who produced it, who reused it
Linked to 13 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.
- An investigation of biomarkers derived from legacy microarray da... 2014 · 196 cites
- ROTS: An R package for reproducibility-optimized statistical tes... 2017 · 163 cites
- Comprehensive evaluation of RNA-seq quantification methods for l... 2017 · 96 cites
- Rank-in: enabling integrative analysis across microarray and RNA... 2021 · 78 cites
9 further papers cite this accession but reuse could not be confirmed.
Deep data QC
100/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Complex RNA-seq experiment combining synthetic construct and human samples on 454 GS FLX Titanium (ABI_SOLID platform) with 21.4 billion short reads achieving 95.1% Q20 and 91.1% Q30 across 3.8 Tb. The unusual platform choice and synthetic component suggest specialized validation or benchmark study; users must apply platform-specific error models and investigate the experimental rationale before comparative analysis.
The A grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0