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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Gene losses during human origins.
PMID 16464126 · PMC1361800 · PLoS biology · 2006 · 7 claims · 7 setups
A comparative genomic screen identified 67 new human-specific nonprocessed pseudogenes, bringing the total (with 13 from prior literature) to 80 human-specific pseudogenes.
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Inconsistencies in Neanderthal genomic DNA sequences.
PMID 17937503 · PMC2014787 · PLoS genetics · 2007 · 8 claims · 6 setups
The Noonan et al. and Green et al. Neanderthal nuclear DNA datasets yield mutually inconsistent estimates of population split time and Neanderthal admixture proportion when analyzed with the same method
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Gene duplication: the genomic trade in spare parts.
PMID 15252449 · PMC449868 · PLoS biology · 2004 · 8 claims · 7 setups
Gene duplication relaxes selective constraint on one copy, allowing exploration of evolutionary space that is otherwise forbidden in single-copy genes, making duplication the major opportunity for new gene function evolution.
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Fast-evolving noncoding sequences in the human genome.
PMID 17578567 · PMC2394770 · Genome biology · 2007 · 8 claims · 6 setups
1,356 conserved noncoding sequences show human-specific accelerated substitution rates (ANC sequences) relative to chimpanzee
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Modeling the amplification dynamics of human Alu retrotransposons.
PMID 16201008 · PMC1239904 · PLoS computational biology · 2005 · 8 claims · 4 setups
Combining sequence diversity (π) and insertion polymorphism level (IPL) statistics can statistically exclude implausible Alu amplification scenarios and narrow the range of plausible ones for individual subfamilies.
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Meta-analysis of inter-species liver co-expression networks elucidates traits associated with common human diseases.
PMID 20019805 · PMC2787626 · PLoS computational biology · 2009 · 8 claims · 8 setups
A novel semi-parametric meta-analysis method (based on a gene-centric Glass's d effect size) outperforms existing parametric and non-parametric meta-analysis methods at identifying functionally coherent gene pairs across species.