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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Epidemiology of doublet/multiplet mutations in lung cancers: evidence that a subset arises by chronocoordinate events.
PMID 19005564 · PMC2579325 · PloS one · 2008 · 8 claims · 7 setups
Doublet mutations are significantly more frequent in EGFR (6.0%) and TP53 (2.3%) in human lung cancer than spontaneous doublets in mouse lacI (0.7%), about 8-fold and 3-fold higher respectively.
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Comparative Toxicogenomics Database: a knowledgebase and discovery tool for chemical-gene-disease networks.
PMID 18782832 · PMC2686584 · Nucleic acids research · 2009 · 8 claims · 5 setups
CTD is a manually curated knowledgebase that integrates chemical-gene interactions, chemical-disease relationships, and gene-disease relationships into a chemical-gene-disease triad
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Has reproduction · 53
PulmonDB: a curated lung disease gene expression database.
PMID 31949184 · PMC6965635 · Scientific reports · 2020 · 7 claims · 6 setups
PulmonDB is a curated, web-based relational database (plus R package) integrating microarray and RNA-seq gene expression data with controlled-vocabulary annotation for COPD and IPF.
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Has reproduction · 59
Advances in genomic and pharmacokinetic profiling for clinical stratification of metastatic breast cancer.
PMID 41369820 · PMC12799884 · Discover oncology · 2025 · 8 claims · 8 setups
Key genes AR, AKT1, UBC, CDH1, SMAD3, ROR1, and ROR2 are associated with chemotherapy resistance and poor prognosis in metastatic breast cancer
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Network-assisted protein identification and data interpretation in shotgun proteomics.
PMID 19690572 · PMC2736651 · Molecular systems biology · 2009 · 7 claims · 7 setups
Confidently identified proteins in a sample form tightly connected sub-networks in the protein interaction network, with significantly higher clustering coefficients than random or topology-matched random sub-networks.