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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Prioritization of candidate cancer genes--an aid to oncogenomic studies.
PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups
Computational classifiers using combinations of protein conservation, gene structure, protein domains, protein interactions, and regulatory data can distinguish known cancer genes (CD/CR) from unlabelled human genes
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Coverage of whole proteome by structural genomics observed through protein homology modeling database.
PMID 17146617 · PMC1769342 · Journal of structural and functional genomics · 2006 · 8 claims · 7 setups
FAMSBASE, a homology-modeling database of whole-genome ORFs, currently covers about 50% of predicted ORFs (368,724 of 734,193) across 276 genomes with modeled 3D structures.
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Has reproduction · 42
The electrostatic profile of consecutive Cβ atoms applied to protein structure quality assessment.
PMID 25506420 · PMC4257144 · F1000Research · 2013 · 8 claims · 8 setups
The EPD between Cβ atoms of consecutive residues provides unique signatures of amino acid pair types and can discriminate native from decoy protein structures.
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Negative emotionality: monoamine oxidase B gene variants modulate personality traits in healthy humans.
PMID 19657584 · PMC3653168 · Journal of neural transmission (Vienna, Austria : 1996) · 2009 · 7 claims · 7 setups
MAOB SNPs rs10521432 and rs6651806 are significantly associated with Negative Emotionality in healthy volunteers
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Simple models of genomic variation in human SNP density.
PMID 17553150 · PMC1919371 · BMC genomics · 2007 · 6 claims · 4 setups
Hierarchical Poisson model B, which allows both the mutation-rate proxy (Beta-distributed Λ) and the ARG-size proxy (Gamma-distributed T) to vary, fits the observed SNP density distribution significantly better than models with only one or neither varying.