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).

• 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

• Mapping proteins to disease terminologies: from UniProt to MeSH.

  PMID 18460185 · PMC2367626 · BMC bioinformatics · 2008 · 8 claims · 7 setups

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  Developed a three-step procedure (disease name extraction, exact matching, partial/similarity-based matching) to map UniProtKB/Swiss-Prot disease names to MeSH terms

  randomly swiss-prot uniprotkb mesh manual exact partial

• Gene-centric characteristics of genome-wide association studies.

  PMID 18060058 · PMC2092383 · PloS one · 2007 · 8 claims · 5 setups

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  High-density SNP chips using either direct or indirect selection approaches provide very high coverage in genic regions and capture most known common disease variants under the HapMap framework.

  phase omim snps snp disease genomic

• Genome-wide analysis of human disease alleles reveals that their locations are correlated in paralogous proteins.

  PMID 18989397 · PMC2565504 · PLoS computational biology · 2008 · 7 claims · 5 setups

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  The locations of sequence variants are correlated between paralogous human proteins more than expected by chance.

  dbsnp best-hit omicia hgmd genome-wide correlation disease

• Using random walks to identify cancer-associated modules in expression data.

  PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups

  Has reproduction

  Walktrap-GM, a random-walk community detection algorithm adapted with stopping criteria (maximum modularity, maximum size, maximum module score), identifies modules significantly enriched with cancer genes in expression-weighted interaction networks.

  hepatocellular breast sporadic geo gene differential interaction