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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POCUS: mining genomic sequence annotation to predict disease genes.
PMID 14611661 · PMC329128 · Genome biology · 2003 · 8 claims · 6 setups
Genes predisposing to the same disease tend to share functional annotation IDs (GO/InterPro) more than expected by chance
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Discovering cancer genes by integrating network and functional properties.
PMID 19765316 · PMC2758898 · BMC medical genomics · 2009 · 8 claims · 6 setups
Cancer genes have distinct PPI network topology (higher connectivity, higher clustering coefficient, shorter path length to known cancer genes) compared to non-cancer genes
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DAVID Knowledgebase: a gene-centered database integrating heterogeneous gene annotation resources to facilitate high-throughput gene functional analysis.
PMID 17980028 · PMC2186358 · BMC bioinformatics · 2007 · 7 claims · 3 setups
The DAVID Gene Concept, a single-linkage algorithm, merges gene clusters from Entrez Gene, UniRef100, and PIR-NREF100 that share protein IDs and species into unified DAVID gene clusters, improving cross-referencing between NCBI and UniProt systems
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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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Has reproduction
Using random walks to identify cancer-associated modules in expression data.
PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups
Walktrap-GM, a random-walk community detection algorithm adapted with stopping criteria (maximum modularity, maximum size, maximum module score), identifies modules significantly enriched with cancer genes in expression-weighted interaction networks.
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hORFeome v3.1: a resource of human open reading frames representing over 10,000 human genes.
PMID 17207965 · PMC4647941 · Genomics · 2007 · 8 claims · 7 setups
hORFeome v3.1 is a resource of 12,212 cloned human ORFs representing 10,214 genes, a 51% expansion over hORFeome v1.1
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The role of positive selection in determining the molecular cause of species differences in disease.
PMID 18837980 · PMC2576240 · BMC evolutionary biology · 2008 · 8 claims · 6 setups
Genes predicted to be under positive selection during human evolution are implicated in diseases (epithelial cancers, schizophrenia, autoimmune diseases, Alzheimer's disease) that differ in prevalence and symptomatology between humans and other mammals
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Correlation of microsynteny conservation and disease gene distribution in mammalian genomes.
PMID 19909546 · PMC2779822 · BMC genomics · 2009 · 7 claims · 8 setups
Density of mouse orthologs of human disease genes correlates with regions of conserved microsynteny in the mouse genome
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Comparative analysis of cancer genes in the human and chimpanzee genomes.
PMID 16438707 · PMC1382208 · BMC genomics · 2006 · 7 claims · 6 setups
All 333 examined human cancer genes have intact, highly conserved orthologs in the chimpanzee genome (99.38% protein identity).
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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
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Human disease classification in the postgenomic era: a complex systems approach to human pathobiology.
PMID 17625512 · PMC1948102 · Molecular systems biology · 2007 · 8 claims · 5 setups
Current syndromic disease classification lacks specificity despite historically serving clinicians well
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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.