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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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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SysPIMP: the web-based systematical platform for identifying human disease-related mutated sequences from mass spectrometry.
PMID 19036792 · PMC2686442 · Nucleic acids research · 2009 · 8 claims · 7 setups
SysPIMP is a web-based platform integrating disease mutation databases with X!Tandem and BLAST to identify disease-related mutated proteins from MS results
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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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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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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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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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Mapping proteins to disease terminologies: from UniProt to MeSH.
PMID 18460185 · PMC2367626 · BMC bioinformatics · 2008 · 8 claims · 7 setups
Developed a three-step procedure (disease name extraction, exact matching, partial/similarity-based matching) to map UniProtKB/Swiss-Prot disease names to MeSH terms
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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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Building disease-specific drug-protein connectivity maps from molecular interaction networks and PubMed abstracts.
PMID 19649302 · PMC2709445 · PLoS computational biology · 2009 · 7 claims · 4 setups
A computational framework can build disease-specific drug-protein connectivity maps by integrating protein interaction networks and PubMed literature mining, without gene expression profiles from drug perturbation experiments
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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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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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Systems biology of SNPs.
PMID 16820779 · PMC1681509 · Molecular systems biology · 2006 · 8 claims · 2 setups
Co-sets are groups of enzymatic reactions that are perfectly correlated (correlation coefficient of 1) in a reconstructed metabolic network and represent functional modules.
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ChimerDB--a knowledgebase for fusion sequences.
PMID 16381848 · PMC1347382 · Nucleic acids research · 2006 · 8 claims · 6 setups
ChimerDB integrates bioinformatics analysis of mRNA/EST sequences, manually collected literature data, and OMIM translocation data into a single fusion sequence knowledgebase
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Upgrades to StellaBase facilitate medical and genetic studies on the starlet sea anemone, Nematostella vectensis.
PMID 17982171 · PMC2238866 · Nucleic acids research · 2008 · 6 claims · 5 setups
StellaBase Disease houses homology data for 155,904 invertebrate isoforms of human disease genes across four model systems, including 14,874 predicted Nematostella genes
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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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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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Short tandem repeats in human exons: a target for disease mutations.
PMID 18789129 · PMC2543027 · BMC genomics · 2008 · 8 claims · 6 setups
STRs are present in exons of 92% of known human genes, unlike longer tandem repeats which are rare in exons
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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