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Most published human disease RNA-seq cannot be uniformly reanalyzed: a population-scale audit of reprocessability in the Gene Expression Omnibus

2026-08-11

Abstract excerpt

<h4>Background</h4> Reuse of archived transcriptomic data underpins a large and growing share of published genomics. Because differences in upstream processing confound cross-study comparison, uniform reprocessing compendia — recount3, ARCHS4, DEE2, refine.bio, Expression Atlas — are widely treated as the remedy, and their availability is routinely assumed at the point of study design. Whether that remedy is actu...

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Literature Corpus work
b5f90286-128d-5a6a-a8f3-b1f23bca753d
DOI
10.64898/2026.08.05.742891
Open publication

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Most published human disease RNA-seq cannot be uniformly reanalyzed: a population-scale audit of reprocessability in the Gene Expression OmnibusDOI 10.64898/2026.08.05.742891
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