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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Deducing topology of protein-protein interaction networks from experimentally measured sub-networks.
PMID 18598366 · PMC2474618 · BMC bioinformatics · 2008 · 7 claims · 6 setups
Experimentally measured protein-protein interaction sub-networks are not random samples of their parent networks.
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Nucleosome deposition and DNA methylation at coding region boundaries.
PMID 19723310 · PMC2768978 · Genome biology · 2009 · 8 claims · 8 setups
Nucleosomes and DNA methylation form distinct peaks just downstream of the start codon and just upstream of the stop codon, marking both ends of protein coding units genome-wide.
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Has reproduction · 60
Transcriptome maps of general eukaryotic RNA degradation factors.
PMID 31135339 · PMC6570525 · eLife · 2019 · 8 claims · 4 setups
Transcriptome-wide binding profiles of 30 general RNA degradation factors in S. cerevisiae reveal their distribution across different RNA classes.
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Has reproduction · 55
N6-methyladenosine (m6A) reader Pho92 is recruited co-transcriptionally and couples translation to mRNA decay to promote meiotic fitness in yeast.
PMID 36422864 · PMC9731578 · eLife · 2022 · 8 claims · 8 setups
Pho92 specifically binds m6A-modified RNA via its YTH domain, both in vitro and in vivo
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Genetical genomics: spotlight on QTL hotspots.
PMID 18949031 · PMC2563687 · PLoS genetics · 2008 · 8 claims · 4 setups
Distant eQTL hotspots are rare and difficult to reliably verify across published genetical genomics studies
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The truth about mouse, human, worms and yeast.
PMID 15601543 · PMC3525071 · Human genomics · 2004 · 8 claims · 8 setups
Comparing genomes in pairs or larger sets (mouse-human, C. elegans-C. briggsae, multiple Saccharomyces, human-pufferfish, etc.) reveals unsuspected genes and helps eliminate false-positive gene predictions