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).

• The process chain for peptidomic biomarker discovery.

  PMID 16410650 · PMC3850862 · Disease markers · 2006 · 8 claims · 3 setups

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  Peptidomics (comprehensive analysis of peptides and small proteins <20 kDa) fills a methodological gap left by standard proteomics, which mainly addresses proteins in the ~10-200 kDa range.

  general body patients 2d-gel peptidomics peptidomic

• Population history and natural selection shape patterns of genetic variation in 132 genes.

  PMID 15361935 · PMC515367 · PLoS biology · 2004 · 7 claims · 5 setups

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  Developed a rigorous computational approach that corrects for multiple hypothesis testing and models population demographic history to test for natural selection

  genomic empirical snps chromosome comprehensive coalescent fst

• Review of state Comprehensive Cancer Control plans for genomics content.

  PMID 15888219 · PMC1327702 · Preventing chronic disease · 2005 · 8 claims · 2 setups

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  18 of 30 state CCC plans analyzed contained genomics-related components, with wide variability in content

  written ccc content semistructured

• The RYR2-encoded ryanodine receptor/calcium release channel in patients diagnosed previously with either catecholaminergic polymorphic ventricular tachycardia or genotype negative, exercise-induced long QT syndrome: a comprehensive open reading frame mutational analysis.

  PMID 19926015 · PMC2880864 · Journal of the American College of Cardiology · 2009 · 8 claims · 6 setups

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  Comprehensive open-reading-frame RYR2 mutational analysis reveals possible CPVT1 mutations located outside the three canonical hot-spot domains

  genomic hair-root reference patients pcr screening multi-tissue

• Predicting the pathogenicity of missense variants using features derived from AlphaFold2.

  PMID 37084271 · PMC10203375 · Bioinformatics (Oxford, England) · 2023 · 6 claims · 8 setups

  Has reproduction · 85

  AlphaFold2-derived structural features (solvent accessibility, amino acid network features, physicochemical environment, pLDDT) can be used to train a random forest classifier (AlphScore) that distinguishes proxy-benign from proxy-pathogenic missense variants.

  gnomad alphafold2-predicted alphscore proteins machine secondary physicochemical