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).

• Systematic benchmarking of tools for CpG methylation detection from nanopore sequencing.

  PMID 34103501 · PMC8187371 · Nature communications · 2021 · 7 claims · 4 setups

  Has reproduction · 99

  Nanopore methylation detection tools exhibit a tradeoff between false positives and false negatives and high dispersion relative to expected per-site methylation frequencies.

  coli lymphoblastoid na12878 mixture nanopore cas9-targeted whole-genome

• Quantitative serum proteomics using dual stable isotope coding and nano LC-MS/MSMS.

  PMID 19817497 · PMC4684172 · Journal of proteome research · 2009 · 7 claims · 6 setups

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  DSIC labeling achieves high efficiency: 100% for Cysteine (acrylamide) and 98% for Lysine (succinic anhydride)

  standard dsic-labeled immunodepleted serum labeling quantitative in-solution

• Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations.

  PMID 19654296 · PMC2763410 · Cancer research · 2009 · 7 claims · 7 setups

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  CHASM, a Random Forest-based computational method, was developed to identify and prioritize missense mutations likely to be functional drivers of tumor cell proliferation.

  missense same synthetic tp53 random support principal

• Zebrafish whole-adult-organism chemogenomics for large-scale predictive and discovery chemical biology.

  PMID 18618001 · PMC2442223 · PLoS genetics · 2008 · 8 claims · 6 setups

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  Zebrafish whole-adult-organism chemogenomics generates robust prediction models that discriminate P(H)AHs from ECs across independent experiments

  zebrafish computational seven consolidated whole-adult-organism supervised quantitative

• Empirical Bayes analysis of quantitative proteomics experiments.

  PMID 19829701 · PMC2759080 · PloS one · 2009 · 8 claims · 4 setups

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  Developed a new empirical Bayes framework that models log2 SILAC protein ratios and is robust to non-Gaussian tails and data sparsity, unlike Gaussian mixture models or Efron's original spline-based approach

  hela predicted computational silac utr gaussian