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).

• MtSNPscore: a combined evidence approach for assessing cumulative impact of mitochondrial variations in disease.

  PMID 19758471 · PMC2745589 · BMC bioinformatics · 2009 · 8 claims · 5 setups

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  MtSNPscore, a weighted scoring pipeline combining literature evidence, in silico predictions, and case/control frequency, can prioritize likely pathogenic mtDNA variations

  sporadic mitochondrial reported ataxia mitochondrial functional compensatory

• 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

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  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

  seed ad-related retrieved combined protein-protein network-based pubmed

• Speeding disease gene discovery by sequence based candidate prioritization.

  PMID 15766383 · PMC1274252 · BMC bioinformatics · 2005 · 7 claims · 8 setups

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  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.

  ensembl training same hgmd comparative machine tenfold

• Integration of text- and data-mining using ontologies successfully selects disease gene candidates.

  PMID 15767279 · PMC1065256 · Nucleic acids research · 2005 · 7 claims · 6 setups

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  Integrating eVOC anatomical ontology-based text-mining of PubMed abstracts with data-mining of gene expression annotation successfully selects and prioritizes candidate disease genes

  biomedical refseq training independent text-mining data-mining candidate

• ChimerDB--a knowledgebase for fusion sequences.

  PMID 16381848 · PMC1347382 · Nucleic acids research · 2006 · 8 claims · 6 setups

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  ChimerDB integrates bioinformatics analysis of mRNA/EST sequences, manually collected literature data, and OMIM translocation data into a single fusion sequence knowledgebase

  genome candidate pubmed omim blat splice-site ecgene

• ChimerDB 2.0--a knowledgebase for fusion genes updated.

  PMID 19906715 · PMC2808913 · Nucleic acids research · 2010 · 8 claims · 4 setups

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  ChimerDB 2.0 is an updated knowledgebase integrating fusion transcripts from GenBank transcriptome analysis with Sanger CGP, OMIM, PubMed, and Mitelman's database data.

  genbank sra pubmed transcript-to-genome ngs literature

• 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

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  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

  pubmed genes same randomly geneseeker evoc disease