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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PRESTO: rapid calculation of order statistic distributions and multiple-testing adjusted P-values via permutation for one and two-stage genetic association studies.
PMID 18620604 · PMC2483288 · BMC bioinformatics · 2008 · 8 claims · 4 setups
PRESTO is an order of magnitude faster than other existing permutation testing software for genetic association studies.
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What can genome-wide association studies tell us about the genetics of common disease?
PMID 18454206 · PMC2323402 · PLoS genetics · 2008 · 8 claims · 4 setups
Apparent patterns of common, low-effect disease-associated alleles largely reflect statistical power of studies rather than the true underlying distribution of disease variants
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Computational verification of protein-protein interactions by orthologous co-expression.
PMID 15740634 · PMC555590 · BMC bioinformatics · 2005 · 7 claims · 8 setups
Co-expression of orthologous protein pairs across multiple species can verify/predict S. cerevisiae PPIs with better performance than S. cerevisiae co-expression alone.
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A simple and efficient algorithm for genome-wide homozygosity analysis in disease.
PMID 19756043 · PMC2758715 · Molecular systems biology · 2009 · 8 claims · 4 setups
A genome-wide AH analysis (GAHA) algorithm can identify disease-associated loci by comparing frequencies of homozygous segments between cases and controls using a z-statistic proportion test
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POCUS: mining genomic sequence annotation to predict disease genes.
PMID 14611661 · PMC329128 · Genome biology · 2003 · 8 claims · 6 setups
Genes predisposing to the same disease tend to share functional annotation IDs (GO/InterPro) more than expected by chance
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Has reproduction · 71
Parsimonious Gene Correlation Network Analysis (PGCNA): a tool to define modular gene co-expression for refined molecular stratification in cancer.
PMID 30993001 · PMC6459838 · NPJ systems biology and applications · 2019 · 8 claims · 7 setups
Retaining only the top ~3 most correlated edges per gene (EPG3) combined with FastUnfold clustering (termed PGCNA) produces gene co-expression modules with significantly better separation and enrichment of known biology than using all edges or other clustering methods.
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Has reproduction · 71
Protein structure quality assessment based on the distance profiles of consecutive backbone Cα atoms.
PMID 24555103 · PMC3892923 · F1000Research · 2013 · 8 claims · 8 setups
The distance between consecutive backbone Cα atoms in high-quality structures is normally distributed with mean 3.8 Å and standard deviation 0.04 Å, justifying a reference state in which all consecutive Cα atoms are 3.8 Å apart.