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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Disease-aging network reveals significant roles of aging genes in connecting genetic diseases.
PMID 19779549 · PMC2739292 · PLoS computational biology · 2009 · 8 claims · 8 setups
Human disease genes are much closer to aging genes in the PPI network than expected by chance
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Biased exon/intron distribution of cryptic and de novo 3' splice sites.
PMID 16141195 · PMC1197134 · Nucleic acids research · 2005 · 7 claims · 5 setups
Cryptic 3'ss (from 3'YAG consensus mutations) are significantly more frequent in exons than in introns
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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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Identification of gene interactions associated with disease from gene expression data using synergy networks.
PMID 18234101 · PMC2258206 · BMC systems biology · 2008 · 8 claims · 4 setups
Synergy of a gene pair with respect to disease, defined as I(G1,G2;C) - [I(G1;C)+I(G2;C)], identifies gene pairs that interact cooperatively with respect to a phenotype rather than independently.
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Computational analysis of splicing errors and mutations in human transcripts.
PMID 18194514 · PMC2234086 · BMC genomics · 2008 · 8 claims · 4 setups
Retained introns are significantly shorter than constitutively spliced introns
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Bias of selection on human copy-number variants.
PMID 16482228 · PMC1366494 · PLoS genetics · 2006 · 8 claims · 8 setups
Human CNVs are significantly overrepresented near telomeres and centromeres and enriched in simple tandem repeats relative to the genome as a whole
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InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale.
PMID 17868464 · PMC2375030 · Genome biology · 2007 · 8 claims · 8 setups
InSite predicts protein-pair-specific binding motifs ('Motif M on protein A binds to protein B') by integrating heterogeneous PPI and motif-motif interaction evidence within a Bayesian network trained by EM