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).

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

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

  Full-text index only

  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

• Phenotypic categorization of genetic skin diseases reveals new relations between phenotypes, genes and pathways.

  PMID 19744994 · PMC2773259 · Bioinformatics (Oxford, England) · 2009 · 8 claims · 5 setups

  Full-text index only

  560 genetic skin diseases can be decomposed into 71 elementary phenotypic features (42 dermatologic, 29 systemic) that combine to represent each disease as a point in a multidimensional phenotype space

  genodermatoses phenotype disease gene-phenotype manual correlation principal

• Inherited disorder phenotypes: controlled annotation and statistical analysis for knowledge mining from gene lists.

  PMID 16351744 · PMC1866390 · BMC bioinformatics · 2005 · 5 claims · 3 setups

  Full-text index only

  OMIM Clinical Synopsis free-text phenotype and location names can be normalized and hierarchically structured into a controlled vocabulary suitable for computational analysis

  omim gene text statistical gene

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

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

  Full-text index only

  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

• 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

  Full-text index only

  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