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).

• A genome-wide survey demonstrates widespread non-linear mRNA in expressed sequences from multiple species.

  PMID 16237125 · PMC1258171 · Nucleic acids research · 2005 · 8 claims · 6 setups

  Full-text index only

  A genome-wide computational survey identifies 245 genes in mammals (264 across six species) that produce RREO events in expressed sequences

  expressed representative random genes computational orf statistical

• Interactome networks: the state of the science.

  PMID 16515723 · PMC1431712 · Genome biology · 2006 · 8 claims · 8 setups

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  Spastin interacts with CHMP1B, an ESCRT-III-associated protein, supporting a role for spastin in intracellular membrane trafficking relevant to hereditary spastic paraplegia

  genes tnfα orf proteins yeast tandem interference

• Bayesian prediction of RNA translation from ribosome profiling.

  PMID 28126919 · PMC5389577 · Nucleic acids research · 2017 · 8 claims · 4 setups

  Has reproduction · 62

  Rp-Bp is an unsupervised Bayesian approach that uses a two-component 'high-low-low' mixture model to predict translated ORFs from ribosome profiles

  hek293 ribo-seq ribosome proteomics quantitative

• Mitochondrial volume fraction and translation duration impact mitochondrial mRNA localization and protein synthesis.

  PMID 32762840 · PMC7413667 · eLife · 2020 · 8 claims · 8 setups

  Has reproduction · 81

  mRNA localization to mitochondria is condition-dependent: ATP3 mRNA switches from low (diffuse) association in fermentative conditions to strong mitochondrial association in respiratory conditions, while TIM50 is constitutively localized and TOM22 is diffuse.

  cerevisiae computational live-cell single-molecule single-cell

• Comparing the utility of in vivo transposon mutagenesis approaches in yeast species to infer gene essentiality.

  PMID 32681306 · PMC7599172 · Current genetics · 2020 · 7 claims · 7 setups

  Has reproduction · 81

  A Random Forest machine-learning approach can predict gene essentiality from in vivo transposon insertion data across multiple yeast species and transposon systems

  cerevisiae pombe albicans hermes acds piggybac