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).

• 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

• 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

• Distribution and effects of nonsense polymorphisms in human genes.

  PMID 18852891 · PMC2561068 · PloS one · 2008 · 8 claims · 8 setups

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  Nonsense SNPs occur at a lower density than nonsynonymous SNPs, indicating stronger purifying selection against premature stop codons than amino acid changes.

  genome genes nonsense snps genome-wide snp codon

• An integrated database-pipeline system for studying single nucleotide polymorphisms and diseases.

  PMID 19091018 · PMC2638159 · BMC bioinformatics · 2008 · 6 claims · 5 setups

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  Existing SNP/disease databases are fragmented; no combined resource widely supports gene-, SNP-, and disease-related information together

  private disease uniprot snps database controlled sequence