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
Applicability of DNA pools on 500 K SNP microarrays for cost-effective initial screens in genomewide association studies.
PMID 17610740 · PMC1925094 · BMC genomics · 2007 · 8 claims · 5 setups
SNP-MaP can be effectively applied to the Affymetrix 500K GeneChip, providing a cost-effective, reliable and valid initial genomewide screen
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Has reproduction · 85
Digital sorting of complex tissues for cell type-specific gene expression profiles.
PMID 23497278 · PMC3626856 · BMC bioinformatics · 2013 · 8 claims · 8 setups
The Digital Sorting Algorithm (DSA) deconvolves mixed tissue expression into cell type-specific profiles using only marker genes, without requiring prior knowledge of cell type frequencies or in vitro pure-cell profiles.
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Analysis of genetic variability and whole genome linkage of whole-brain, subcortical, and ependymal hyperintense white matter volume.
PMID 19834011 · PMC2787844 · Stroke · 2009 · 8 claims · 5 setups
Whole-brain, subcortical, and ependymal HWM volumes are all highly heritable
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Has reproduction · 67
Satellitome Analysis and Transposable Elements Comparison in Geographically Distant Populations of Spodoptera frugiperda.
PMID 35455012 · PMC9026859 · Life (Basel, Switzerland) · 2022 · 8 claims · 5 setups
Most transposable elements are commonly shared across all eight geographically distant S. frugiperda samples, except Maverick and PIF/Harbinger elements which show divergent repeat copies
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Extraction of human kinase mutations from literature, databases and genotyping studies.
PMID 19758464 · PMC2745582 · BMC bioinformatics · 2009 · 7 claims · 6 setups
A literature mining pipeline combining MutationFinder, false-positive filtering, and SVM-based classification can extract and disambiguate single-point mutation mentions from abstracts and full text