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).

• Evolutionary origins of human apoptosis and genome-stability gene networks.

  PMID 18832373 · PMC2577361 · Nucleic acids research · 2008 · 8 claims · 8 setups

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  The entanglement of DNA repair, chromosome stability and apoptosis gene networks appears with the caspase gene family and the antiapoptotic gene BCL2.

  apoptosis fully same orthologous protein-protein comparative orthology

• Gene loss rate: a probabilistic measure for the conservation of eukaryotic genes.

  PMID 17158152 · PMC1802574 · Nucleic acids research · 2007 · 8 claims · 8 setups

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  GLR is a novel maximum-likelihood measure of gene loss rate that probabilistically weighs all possible ancestral phyletic patterns rather than relying on a single parsimonious reconstruction.

  synthetic eukaryotic simulated 16-species analytical comparative simulation

• Linking disease-associated genes to regulatory networks via promoter organization.

  PMID 15701758 · PMC549397 · Nucleic acids research · 2005 · 8 claims · 7 setups

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  Pairs of TFBSs conserved both vertically (orthologous genes) and horizontally (co-regulated genes) can serve as seeds to build promoter models representing potential co-regulation networks

  orthologous eukaryotic genomatix pubmed promoter model additional

• Proceedings of the First International Conference on Phylogenomics. March 15-19, 2006. Quebec, Canada.

  PMID 17288567 · PMC1796603 · BMC evolutionary biology · 2007 · 8 claims · 8 setups

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  Gene tree parsimony applied to EST data with widespread gene duplication can infer an organismal phylogeny in excellent agreement with the expected angiosperm phylogeny.

  angiosperms animal oryza proteobacteria gene site-heterogeneous codon

• Discovery and hypothesis generation through bioinformatics.

  PMID 16522224 · PMC1431734 · Genome biology · 2006 · 8 claims · 8 setups

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  Bioinformatics should be used as a tool for discovery and hypothesis generation, not merely to manage biological data

  genome chemokine gene-expression proteins genome-wide phylogenetic microarray