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).

• Implementation of a data repository-driven approach for targeted proteomics experiments by multiple reaction monitoring.

  PMID 19121650 · PMC2706936 · Journal of proteomics · 2009 · 7 claims · 5 setups

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  A new MRM worksheet was implemented in The Global Proteome Machine database (GPMDB) that provides all information needed to design MRM transitions based solely on archived observations from previous experiments by other researchers.

  platelet proteins reaction midas mrm

• 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

• 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

• 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

• MALDI profiling of human lung cancer subtypes.

  PMID 19890392 · PMC2767501 · PloS one · 2009 · 8 claims · 8 setups

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  PIMAC/MALDI-TOF peptide profiles combined with classification models can distinguish normal lung from tumor and differentiate NSCLC histological subtypes

  lung tryptic peak ffpe maldi-tof parallel stepwise