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).

• SMAC, a computational system to link literature, biomedical and expression data.

  PMID 31324861 · PMC6642118 · Scientific reports · 2019 · 7 claims · 6 setups

  Has reproduction · 50

  SMAC is a tool that extracts, prioritises, integrates and analyses biomedical literature and molecular data according to user-defined terms, linking PubMed and GEO.

  pubmed invasive geo cancer semantic computational gene

• 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

  Full-text index only

  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

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

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

  Full-text index only

  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

• A modular analysis framework for blood genomics studies: application to systemic lupus erythematosus.

  PMID 18631455 · PMC2727981 · Immunity · 2008 · 7 claims · 8 setups

  Full-text index only

  Transcriptional modules constructed from coordinately expressed genes across 8 diseases form stable, biologically coherent functional units

  pbmc genes monocytes original microarray literature stimulation

• Seeded Bayesian Networks: constructing genetic networks from microarray data.

  PMID 18601736 · PMC2474592 · BMC systems biology · 2008 · 8 claims · 4 setups

  Full-text index only

  Seeding Bayesian Network analysis with prior networks derived from literature and/or PPI data improves recovery of known gene-gene interactions compared to BN analysis without a seed

  leukemia interactome pubmed-indexed computational microarray yeast literature