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).

• Size matters: just how big is BIG?: Quantifying realistic sample size requirements for human genome epidemiology.

  PMID 18676414 · PMC2639365 · International journal of epidemiology · 2009 · 7 claims · 2 setups

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  Conventional power calculations for case-control studies disregard analytic complexity (e.g. clinical assessment errors, unmeasured aetiological determinants) and can seriously underestimate true sample size requirements

  simulated simulation-based simulated

• What can genome-wide association studies tell us about the genetics of common disease?

  PMID 18454206 · PMC2323402 · PLoS genetics · 2008 · 8 claims · 4 setups

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  Apparent patterns of common, low-effect disease-associated alleles largely reflect statistical power of studies rather than the true underlying distribution of disease variants

  case gwa simulated literature cochran-armitage computer

• POCUS: mining genomic sequence annotation to predict disease genes.

  PMID 14611661 · PMC329128 · Genome biology · 2003 · 8 claims · 6 setups

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  Genes predisposing to the same disease tend to share functional annotation IDs (GO/InterPro) more than expected by chance

  omim genome disease comparative pocus expression-id