Corpus 1,272 assessed · 1,173 scored · 643 reproduced ≥75 · 168 flagged ·∅ 74.1/100
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GSE162038

GEO first seen 2020

Genome-scale identification of SARS-CoV-2 and pan-coronavirus host factor networks

Organism
Homo sapiens; synthetic construct
Samples
80
Type
Other
Submitted
2020-11-23

The COVID-19 pandemic has claimed the lives of more than one million people worldwide. The causative agent, SARS-CoV-2, is a member of the Coronaviridae family, which are viruses that cause respiratory infections of varying severity. The cellular host factors and pathways co-opted by SARS- CoV-2 and other coronaviruses in the execution of their life cycles remain ill-defined. To develop an extensive compendium of host factors required for infection by SARS-CoV-2 and three seasonal coronaviruses...

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.

Deposited / produced by
William M SchneiderJoseph M LunaHans-Heinrich HoffmannFrancisco J Sánchez-RiveraAndrew A LealAlison W AshbrookJérémie Le PenInna Ricardo-LaxEleftherios MichailidisAvery PeaceAnsgar F StenzelScott W LoweMargaret R MacDonaldCharles M RiceJohn T Poirier
Reused by

1 further paper cites this accession but reuse could not be confirmed.

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

Data type / assay
other
Organism
synthetic construct

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