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).

• 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

• BRENDA, AMENDA and FRENDA: the enzyme information system in 2007.

  PMID 17202167 · PMC1899097 · Nucleic acids research · 2007 · 7 claims · 6 setups

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  BRENDA is the largest publicly available enzyme information system worldwide, manually curated from primary literature and covering all identified enzymes regardless of source.

  pubmed randomly enzyme full text-mining manual transmembrane

• Speeding disease gene discovery by sequence based candidate prioritization.

  PMID 15766383 · PMC1274252 · BMC bioinformatics · 2005 · 7 claims · 8 setups

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  Disease genes (OMIM) differ significantly from non-disease genes in sequence-based features including gene/cDNA/protein size, exon number, homolog conservation, secretion signal, 3' UTR length, CpG islands, and distance to nearest gene.

  ensembl training same hgmd comparative machine tenfold

• G2Cdb: the Genes to Cognition database.

  PMID 18984621 · PMC2686544 · Nucleic acids research · 2009 · 7 claims · 7 setups

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  G2Cdb integrates experimentally validated synapse proteome datasets with mouse/human genomic annotation, phenotype, and human disease data in a gene-centric database.

  brain nervous genome synaptic proteomic large-scale sequence

• MirDIP 5.2: tissue context annotation and novel microRNA curation.

  PMID 36453996 · PMC9825511 · Nucleic acids research · 2023 · 7 claims · 6 setups

  Has reproduction · 89

  mirDIP 5.2 removed eight outdated resources, added miRNATIP, and ran five prediction algorithms against miRBase and mirGeneDB miRNAs to expand and improve interaction coverage

  mirnas disease novel type mirna small bulk

• 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

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  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