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).
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Full-text index only
Computational verification of protein-protein interactions by orthologous co-expression.
PMID 15740634 · PMC555590 · BMC bioinformatics · 2005 · 7 claims · 8 setups
Co-expression of orthologous protein pairs across multiple species can verify/predict S. cerevisiae PPIs with better performance than S. cerevisiae co-expression alone.
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Has reproduction · 68
Regulatory and evolutionary adaptation of yeast to acute lethal ethanol stress.
PMID 33170850 · PMC7654773 · PloS one · 2020 · 8 claims · 4 setups
Yeast cells activate a rapid transcriptional reprogramming process following acute lethal ethanol stress that is likely adaptive for post-stress survival
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Has reproduction · 81
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
A Random Forest machine-learning approach can predict gene essentiality from in vivo transposon insertion data across multiple yeast species and transposon systems
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Has reproduction · 49
oPOSSUM-3: advanced analysis of regulatory motif over-representation across genes or ChIP-Seq datasets.
PMID 22973536 · PMC3429929 · G3 (Bethesda, Md.) · 2012 · 8 claims · 6 setups
oPOSSUM-3 is a web-accessible system that identifies over-represented TFBS and TFBS families in DNA sequences of co-expressed genes or in sequences from high-throughput methods such as ChIP-Seq.
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Has reproduction · 85
An extensive evaluation of read trimming effects on Illumina NGS data analysis.
PMID 24376861 · PMC3871669 · PloS one · 2013 · 8 claims · 8 setups
Read trimming increases the quality and reliability of downstream NGS analyses (RNA-Seq mapping, SNP identification, genome assembly) while reducing execution time and computational resources.