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).

• Gene-disease relationship discovery based on model-driven data integration and database view definition.

  PMID 19042916 · PMC2639000 · Bioinformatics (Oxford, England) · 2009 · 8 claims · 4 setups

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  Explicit gene–disease relationships can be formulated as candidate gene definitions (e.g., co-localization, dysregulation, functional similarity) that may include intermediary orthologous or interacting genes

  acgr disease term-based database case

• SVC: structured visualization of evolutionary sequence conservation.

  PMID 15991338 · PMC1160265 · Nucleic acids research · 2005 · 7 claims · 5 setups

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  SVC aligns protein-coding sequences of orthologous gene pairs and maps them back onto their encoding exons/introns to generate a scaffold of conserved gene structure.

  orthologous exonic tblastx blastn sliding-window

• 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

• Integration of text- and data-mining using ontologies successfully selects disease gene candidates.

  PMID 15767279 · PMC1065256 · Nucleic acids research · 2005 · 7 claims · 6 setups

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  Integrating eVOC anatomical ontology-based text-mining of PubMed abstracts with data-mining of gene expression annotation successfully selects and prioritizes candidate disease genes

  biomedical refseq training independent text-mining data-mining candidate

• NetworKIN: a resource for exploring cellular phosphorylation networks.

  PMID 17981841 · PMC2238868 · Nucleic acids research · 2008 · 8 claims · 4 setups

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  NetworKIN integrates consensus substrate motifs with probabilistic network context modelling to predict cellular kinase-substrate relations.

  phosphoproteome kinome interactome 53bp1 consensus blastp probabilistic

• Comparative Toxicogenomics Database: a knowledgebase and discovery tool for chemical-gene-disease networks.

  PMID 18782832 · PMC2686584 · Nucleic acids research · 2009 · 8 claims · 5 setups

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  CTD is a manually curated knowledgebase that integrates chemical-gene interactions, chemical-disease relationships, and gene-disease relationships into a chemical-gene-disease triad

  pubmed ctd manual computational case-study