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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CGMIM: automated text-mining of Online Mendelian Inheritance in Man (OMIM) to identify genetically-associated cancers and candidate genes.
PMID 15796777 · PMC1274267 · BMC bioinformatics · 2005 · 8 claims · 2 setups
CGMIM is a Perl program that text-mines OMIM entries to identify cancer-gene associations and genetically-related cancer type pairs.
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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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Inherited disorder phenotypes: controlled annotation and statistical analysis for knowledge mining from gene lists.
PMID 16351744 · PMC1866390 · BMC bioinformatics · 2005 · 5 claims · 3 setups
OMIM Clinical Synopsis free-text phenotype and location names can be normalized and hierarchically structured into a controlled vocabulary suitable for computational analysis
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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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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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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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Speeding disease gene discovery by sequence based candidate prioritization.
PMID 15766383 · PMC1274252 · BMC bioinformatics · 2005 · 7 claims · 8 setups
Disease genes (OMIM) differ significantly from non-disease genes in sequence-based features including gene/cDNA/protein size, exon number, homolog conservation, secretion signal, 3' UTR length, CpG islands, and distance to nearest gene.
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Phenotypic categorization of genetic skin diseases reveals new relations between phenotypes, genes and pathways.
PMID 19744994 · PMC2773259 · Bioinformatics (Oxford, England) · 2009 · 8 claims · 5 setups
560 genetic skin diseases can be decomposed into 71 elementary phenotypic features (42 dermatologic, 29 systemic) that combine to represent each disease as a point in a multidimensional phenotype space
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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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Update of the G2D tool for prioritization of gene candidates to inherited diseases.
PMID 17478516 · PMC1933178 · Nucleic acids research · 2007 · 8 claims · 4 setups
G2D is a web server that prioritizes candidate genes for inherited diseases using three distinct algorithms based on different input information.
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Functional annotation and identification of candidate disease genes by computational analysis of normal tissue gene expression data.
PMID 18560577 · PMC2409962 · PloS one · 2008 · 7 claims · 5 setups
Ranked Coexpression Groups (RCG) built from k=6 nearest coexpressed genes, combined with a majority-rule functional characterization, integrate multiple datasets/coexpression measures to generate high-confidence functional annotation predictions
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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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Integration of text- and data-mining using ontologies successfully selects disease gene candidates.
PMID 15767279 · PMC1065256 · Nucleic acids research · 2005 · 7 claims · 6 setups
Integrating eVOC anatomical ontology-based text-mining of PubMed abstracts with data-mining of gene expression annotation successfully selects and prioritizes candidate disease genes
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Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes.
PMID 16757574 · PMC1475747 · Nucleic acids research · 2006 · 6 claims · 8 setups
Applying seven independent computational disease-gene prioritization methods in concert to 9556 positional candidate genes identifies a prioritized set of likely T2D and obesity candidate genes
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Genome bioinformatic analysis of nonsynonymous SNPs.
PMID 17708757 · PMC1978506 · BMC bioinformatics · 2007 · 8 claims · 8 setups
Structure- and sequence-based prediction tools can generally distinguish disease-causing mutations from neutral ones
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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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An integrated database-pipeline system for studying single nucleotide polymorphisms and diseases.
PMID 19091018 · PMC2638159 · BMC bioinformatics · 2008 · 6 claims · 5 setups
Existing SNP/disease databases are fragmented; no combined resource widely supports gene-, SNP-, and disease-related information together
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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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Distribution and effects of nonsense polymorphisms in human genes.
PMID 18852891 · PMC2561068 · PloS one · 2008 · 8 claims · 8 setups
Nonsense SNPs occur at a lower density than nonsynonymous SNPs, indicating stronger purifying selection against premature stop codons than amino acid changes.
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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