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SARS
4 controls and 10 SARS samples
Provenance — who produced it, who reused it
Linked to 15 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
Manikandan JayapalRenji RegunathanAlirio J MelendezDessmon TaiBernard P LeungRenji ReghunathanLi Y HsuHiok H Chng
Reused by
- Inhibiting the Evolution of Antibiotic Resistance 2018 · 204 cites
- An integrative drug repositioning framework discovered a potenti... 2021 · 204 cites
- A network medicine approach to investigation and population-base... 2020 · 185 cites
- Network-based analysis of comorbidities risk during an infection... 2014 · 119 cites
- Identification of Common Biological Pathways and Drug Targets Ac... 2012 · 91 cites
- Upregulation of oxidative stress gene markers during SARS-COV-2... 2021 · 82 cites
- Pathogenetic profiling of COVID-19 and SARS-like viruses 2020 · 71 cites
8 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, 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
22 s compute
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently