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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Consolidating the set of known human protein-protein interactions in preparation for large-scale mapping of the human interactome.
PMID 15892868 · PMC1175952 · Genome biology · 2005 · 8 claims · 6 setups
Two quantitative benchmarks (functional-annotation-based and physical-interaction-based log likelihood ratio scores) can measure relative accuracy of human PPI datasets
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Identification and analysis of co-occurrence networks with NetCutter.
PMID 18781200 · PMC2526157 · PloS one · 2008 · 8 claims · 4 setups
Random sampling from a complete permutation set of the bipartite graph permits co-occurrence analysis with optimal stringency, and the edge-swapping (ES) model closely approximates this and is the preferred null-model among six tested.
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Inverse symmetry in complete genomes and whole-genome inverse duplication.
PMID 19898631 · PMC2771390 · PloS one · 2009 · 8 claims · 5 setups
Reverse and complement symmetries are essentially absent in genomic sequences at all scales.
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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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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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Inference of transcriptional regulation using gene expression data from the bovine and human genomes.
PMID 17683551 · PMC1978505 · BMC genomics · 2007 · 7 claims · 8 setups
Using human reference promoter sequences is a useful approach for studying gene expression regulation in species with limited or non-existing genomic sequence, such as cattle.