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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Full-text index only
Mutation screening and haplotype analysis of the rhodopsin gene locus in Japanese patients with retinitis pigmentosa.
PMID 17653048 · PMC2776539 · Molecular vision · 2007 · 8 claims · 4 setups
No RP patient among 68 Japanese subjects carried a RHO mutation causing an amino acid substitution
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Has reproduction · 86
Prediction, syntax and semantic grounding in the brain and large language models.
PMID 41807493 · PMC12979642 · Scientific reports · 2026 · 8 claims · 6 setups
Nouns show significant pre-onset neural activity, suggesting enhanced anticipatory processing of this word class.
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Has reproduction · 80
Enhanced Bioremediation Potential of Shewanella decolorationis RNA Polymerase Mutants and Evidence for Novel Azo Dye Biodegradation Pathways.
PMID 35391736 · PMC8981235 · Frontiers in microbiology · 2022 · 8 claims · 8 setups
Unbiased RNAP (rpoB) mutation screening via rifampicin resistance is an effective method to obtain bacterial mutants with enhanced bioremediation activity
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Full-text index only
Predicting phenotype and emerging strains among Chlamydia trachomatis infections.
PMID 19788805 · PMC2819883 · Emerging infectious diseases · 2009 · 8 claims · 7 setups
A 7-locus MLST scheme selected from conserved housekeeping genes shared across 4 Chlamydiaceae species (7 genomes) can genotype diverse C. trachomatis reference and clinical isolates.
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Has reproduction
Using random walks to identify cancer-associated modules in expression data.
PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups
Walktrap-GM, a random-walk community detection algorithm adapted with stopping criteria (maximum modularity, maximum size, maximum module score), identifies modules significantly enriched with cancer genes in expression-weighted interaction networks.