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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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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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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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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Atlas - a data warehouse for integrative bioinformatics.
PMID 15723693 · PMC554782 · BMC bioinformatics · 2005 · 8 claims · 3 setups
Atlas is a biological data warehouse that locally stores and integrates sequences, molecular interactions, homology information, functional annotations, and ontologies
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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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The RCSB PDB information portal for structural genomics.
PMID 16381872 · PMC1347482 · Nucleic acids research · 2006 · 7 claims · 5 setups
The RCSB PDB Structural Genomics Information Portal integrates three resources: Structural Genomics Initiatives, Targets (TargetDB/PepcDB), and Structures (functional coverage analysis).
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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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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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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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Functional coverage of the human genome by existing structures, structural genomics targets, and homology models.
PMID 16118666 · PMC1188274 · PLoS computational biology · 2005 · 8 claims · 5 setups
Existing PDB structures provide single-domain coverage for 37% of functional classes in the human genome and complete (whole-protein) structure coverage for 25%.
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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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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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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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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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ChimerDB 2.0--a knowledgebase for fusion genes updated.
PMID 19906715 · PMC2808913 · Nucleic acids research · 2010 · 8 claims · 4 setups
ChimerDB 2.0 is an updated knowledgebase integrating fusion transcripts from GenBank transcriptome analysis with Sanger CGP, OMIM, PubMed, and Mitelman's database data.
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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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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