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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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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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
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
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A modular analysis framework for blood genomics studies: application to systemic lupus erythematosus.
PMID 18631455 · PMC2727981 · Immunity · 2008 · 7 claims · 8 setups
Transcriptional modules constructed from coordinately expressed genes across 8 diseases form stable, biologically coherent functional units
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Network properties of complex human disease genes identified through genome-wide association studies.
PMID 19956617 · PMC2779513 · PloS one · 2009 · 7 claims · 6 setups
Complex disease genes are significantly less central (lower degree/closeness, higher eccentricity) in the human interactome than essential and monogenic disease genes, occupying an intermediate niche between monogenic disease genes and non-disease genes
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An analysis of human microRNA and disease associations.
PMID 18923704 · PMC2559869 · PloS one · 2008 · 8 claims · 8 setups
MicroRNAs tend to show similar dysfunctional evidence (both up- or both down-regulated) for diseases within the same disease cluster, and different dysfunctional evidence between different disease clusters.
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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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MACSIMS: multiple alignment of complete sequences information management system.
PMID 16792820 · PMC1539025 · BMC bioinformatics · 2006 · 8 claims · 5 setups
MACSIMS is a multiple alignment-based information management system combining knowledge-based database mining with ab initio sequence predictions
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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
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