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).

• Commonality of functional annotation: a method for prioritization of candidate genes from genome-wide linkage studies.

  PMID 18263617 · PMC2275105 · Nucleic acids research · 2008 · 8 claims · 7 setups

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  Genes correlated with a common complex trait are more likely to share GO functional annotations than genes not correlated with that trait

  genes candidate simulated alzheimer's genome-wide term null-hypothesis

• Discovering cancer genes by integrating network and functional properties.

  PMID 19765316 · PMC2758898 · BMC medical genomics · 2009 · 8 claims · 6 setups

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  Cancer genes have distinct PPI network topology (higher connectivity, higher clustering coefficient, shorter path length to known cancer genes) compared to non-cancer genes

  genes gene colon ppi pfam term

• Functional annotation and identification of candidate disease genes by computational analysis of normal tissue gene expression data.

  PMID 18560577 · PMC2409962 · PloS one · 2008 · 7 claims · 5 setups

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  Ranked Coexpression Groups (RCG) built from k=6 nearest coexpressed genes, combined with a majority-rule functional characterization, integrate multiple datasets/coexpression measures to generate high-confidence functional annotation predictions

  normal genome-wide same omim microarray sage computational

• Upgrades to StellaBase facilitate medical and genetic studies on the starlet sea anemone, Nematostella vectensis.

  PMID 17982171 · PMC2238866 · Nucleic acids research · 2008 · 6 claims · 5 setups

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  StellaBase Disease houses homology data for 155,904 invertebrate isoforms of human disease genes across four model systems, including 14,874 predicted Nematostella genes

  nematostella blastp est snp

• 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

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  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