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).

• Competitive enzymatic reaction to control allele-specific extensions.

  PMID 15767273 · PMC1065263 · Nucleic acids research · 2005 · 6 claims · 7 setups

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  Protease-mediated allele-specific extension (PrASE) uses competition between polymerase activity and Proteinase K-mediated polymerase degradation to allow extension of perfectly matched primers while eliminating slower mismatched primer extension.

  genomic immobilized four individuals multiplex protease-mediated effect

• Reconstructing transcriptional regulatory networks through genomics data.

  PMID 20048387 · PMC3666560 · Statistical methods in medical research · 2009 · 7 claims · 5 setups

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  Location data (ChIP-chip/ChIP-seq) alone is insufficient for TRN inference because binding does not imply regulation, TF binding is dynamic across conditions/time, and TRNs involve combinatorial effects of multiple TFs not captured by single-TF ChIP experiments.

  yeast generic perturbations followed chip-chip chip-seq gene

• Evolutionarily conserved and diverged alternative splicing events show different expression and functional profiles.

  PMID 16195578 · PMC1240112 · Nucleic acids research · 2005 · 8 claims · 5 setups

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  Alternative splices in 10,818 human-mouse gene pairs can be classified as conserved, novel, or diverged based on genomic and transcript-level cross-species comparison.

  orthologous diverse tissues gene comparative est microarray

• Applications for protein sequence-function evolution data: mRNA/protein expression analysis and coding SNP scoring tools.

  PMID 16912992 · PMC1538848 · Nucleic acids research · 2006 · 7 claims · 8 setups

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  PANTHER HMMs built from family/subfamily multiple sequence alignments can classify novel protein sequences into functional groups based on statistically significant HMM match scores

  input gene genome-wide genes sequence gene numerical