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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Evola: Ortholog database of all human genes in H-InvDB with manual curation of phylogenetic trees.
PMID 17982176 · PMC2238928 · Nucleic acids research · 2008 · 6 claims · 7 setups
Evola combines genome synteny-based computational ortholog detection with manual curation of phylogenetic trees by experts to yield more reliable orthologs than automated pairwise methods
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Towards alignment independent quantitative assessment of homology detection.
PMID 17205117 · PMC1762415 · PloS one · 2006 · 8 claims · 6 setups
The Fhom Estimator uses the prevalence of a conserved protein feature (X) in two protein sets to estimate the fraction of true homologs among paired proteins, independent of alignment quality.
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Has reproduction · 100
Intratumoral heterogeneity in microsatellite instability status at single-cell resolution.
PMID 41767255 · PMC12936829 · iScience · 2026 · 8 claims · 8 setups
MSI status can be heterogeneous at the single-cell level within a tumor, challenging its use as a binary biomarker
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Ensembl 2006.
PMID 16381931 · PMC1347495 · Nucleic acids research · 2006 · 8 claims · 5 setups
Ensembl now provides annotation for 19 genomes, up from 4 the previous year, including new mammalian (Rhesus macaque, Opossum), chordate (Ciona intestinalis), and yeast genomes.
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InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale.
PMID 17868464 · PMC2375030 · Genome biology · 2007 · 8 claims · 8 setups
InSite predicts protein-pair-specific binding motifs ('Motif M on protein A binds to protein B') by integrating heterogeneous PPI and motif-motif interaction evidence within a Bayesian network trained by EM
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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.