Experiments
Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).
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Has reproduction · 69
A hybrid empirical and parametric approach for managing ecosystem complexity: Water quality in Lake Geneva under nonstationary futures.
PMID 35733249 · PMC9245694 · Proceedings of the National Academy of Sciences of the United States of America · 2022 · 7 claims · 6 setups
A hybrid model combining empirical dynamic modeling (EDM/S-map) for biogeochemical sink terms with the equation-based Simstrat hydrodynamic model for physical source terms produces substantially better historical DOB forecasts than conventional parametric models.
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Biocomputing enters its adolescence.
PMID 15960815 · PMC1175967 · Genome biology · 2005 · 8 claims · 8 setups
A 'match augmentation' algorithm efficiently matches structural motifs by prioritizing functionally significant residues, enabling function prediction between evolutionarily unrelated proteins
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Has reproduction · 88
AuPairWise: A Method to Estimate RNA-Seq Replicability through Co-expression.
PMID 27082953 · PMC4833304 · PLoS computational biology · 2016 · 7 claims · 6 setups
Sample-sample correlation of transcript abundances is a misleading measure of replicability for assessing differential expression, because it is dominated by gene-specific dynamic ranges rather than condition-dependent variation.
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Atlas of nascent RNA transcripts reveals tissue-specific enhancer to gene linkages.
PMID 40281430 · PMC12032694 · BMC genomics · 2025 · 7 claims · 8 setups
A large repository of nascent run-on RNA-seq samples (DBNascent) was assembled and uniformly processed to identify sites of bidirectional transcription genome-wide.
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scTWAS: a powerful statistical framework for single-cell transcriptome-wide association studies.
PMID 41820391 · PMC13121454 · Nature communications · 2026 · 8 claims · 5 setups
scTWAS uses a latent-variable expression-measurement model combined with a moment-based regression to more accurately estimate genetic regulation of gene expression from single-cell data, improving GReX prediction across cell types and datasets