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).

• Update of the G2D tool for prioritization of gene candidates to inherited diseases.

  PMID 17478516 · PMC1933178 · Nucleic acids research · 2007 · 8 claims · 4 setups

  Full-text index only

  G2D is a web server that prioritizes candidate genes for inherited diseases using three distinct algorithms based on different input information.

  genome genomic etrb computational literature go-similarity

• Isolated populations and complex disease gene identification.

  PMID 18771588 · PMC2575505 · Genome biology · 2008 · 8 claims · 5 setups

  Full-text index only

  Isolated/founder populations are useful for identifying genes underlying common complex diseases, not just rare monogenic diseases.

  genetically icelandic finnish hutterites linkage genome-wide

• Systems genetics of alcoholism.

  PMID 23584748 · PMC3860445 · Alcohol research & health : the journal of the National Institute on Alcohol Abuse and Alcoholism · 2008 · 8 claims · 8 setups

  Full-text index only

  Alcoholism is a multifactorial disease driven by interacting genetic, social, and environmental factors, with genetics accounting for 50-60% of risk.

  families drosophila mice han linkage metabolic gene

• Genome-wide prioritization of disease genes and identification of disease-disease associations from an integrated human functional linkage network.

  PMID 19728866 · PMC2768980 · Genome biology · 2009 · 6 claims · 6 setups

  Full-text index only

  Integrating 16 genomic features (32 sub-features) via a naïve Bayes classifier produces a genome-scale FLN of 21,657 human genes and 22,388,609 weighted links that outperforms any individual data source for inferring functional linkages.

  genome gene omim known naïve linkage disease-centric

• Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes.

  PMID 16757574 · PMC1475747 · Nucleic acids research · 2006 · 6 claims · 8 setups

  Full-text index only

  Applying seven independent computational disease-gene prioritization methods in concert to 9556 positional candidate genes identifies a prioritized set of likely T2D and obesity candidate genes

  pubmed genes same randomly geneseeker evoc disease