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).

• CGMIM: automated text-mining of Online Mendelian Inheritance in Man (OMIM) to identify genetically-associated cancers and candidate genes.

  PMID 15796777 · PMC1274267 · BMC bioinformatics · 2005 · 8 claims · 2 setups

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  CGMIM is a Perl program that text-mines OMIM entries to identify cancer-gene associations and genetically-related cancer type pairs.

  omim automated manual

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

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

  Full-text index only

  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

• The archives are half-empty: an assessment of the availability of microbial community sequencing data.

  PMID 32859925 · PMC7455719 · Communications biology · 2020 · 8 claims · 5 setups

  Has reproduction · 95

  More than half of surveyed amplicon sequencing studies were affected by lack of data deposition, improper file formatting, or inconsistent labeling that impede reuse.

  microbiology randomly insdc v3-v4 literature manual repository

• Extraction of human kinase mutations from literature, databases and genotyping studies.

  PMID 19758464 · PMC2745582 · BMC bioinformatics · 2009 · 7 claims · 6 setups

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  A literature mining pipeline combining MutationFinder, false-positive filtering, and SVM-based classification can extract and disambiguate single-point mutation mentions from abstracts and full text

  pubmed large labeled swissprot literature supervised comparative

• 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

• Genome-wide prioritization of disease genes and identification of disease-disease associations from an integrated human functional linkage network.

  PMID 19728866 · PMC2768980 · Genome biology · 2009 · 6 claims · 6 setups

  Full-text index only

  Integrating 16 genomic features (32 sub-features) via a naïve Bayes classifier produces a genome-scale FLN of 21,657 human genes and 22,388,609 weighted links that outperforms any individual data source for inferring functional linkages.

  genome gene omim known naïve linkage disease-centric