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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Natural selection of protein structural and functional properties: a single nucleotide polymorphism perspective.
PMID 18397526 · PMC2643940 · Genome biology · 2008 · 8 claims · 8 setups
The SNP A/S ratio is a robust measure of selective constraint, correlating with interspecies Ka/Ks ratios and with protein sequence conservation.
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Genome-wide detection of segmental duplications and potential assembly errors in the human genome sequence.
PMID 12702206 · PMC154576 · Genome biology · 2003 · 8 claims · 6 setups
Segmental duplications comprise 3.53% (107.4/3,043.1 Mb) of the June 2002 human genome assembly
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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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Gene-centric characteristics of genome-wide association studies.
PMID 18060058 · PMC2092383 · PloS one · 2007 · 8 claims · 5 setups
High-density SNP chips using either direct or indirect selection approaches provide very high coverage in genic regions and capture most known common disease variants under the HapMap framework.
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Genome-wide analysis of human disease alleles reveals that their locations are correlated in paralogous proteins.
PMID 18989397 · PMC2565504 · PLoS computational biology · 2008 · 7 claims · 5 setups
The locations of sequence variants are correlated between paralogous human proteins more than expected by chance.
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Multiple whole genome alignments and novel biomedical applications at the VISTA portal.
PMID 17488840 · PMC1933192 · Nucleic acids research · 2007 · 8 claims · 4 setups
A novel multiple whole-genome alignment algorithm treats all genomes symmetrically, avoiding dependence on a single base/reference genome