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).

• 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

• WebGestalt: an integrated system for exploring gene sets in various biological contexts.

  PMID 15980575 · PMC1160236 · Nucleic acids research · 2005 · 8 claims · 6 setups

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  WebGestalt is an integrated web-based system composed of four modules: gene set management, information retrieval, organization/visualization, and statistics.

  genes gene est-based enrichment kegg

• 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

• Towards precise classification of cancers based on robust gene functional expression profiles.

  PMID 15774002 · PMC1274255 · BMC bioinformatics · 2005 · 6 claims · 7 setups

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  Functional expression profiles (FEPs) achieve comparable or better classification performance than conventional gene expression profiles (GEPs) across four public microarray datasets

  nci60 lymphoma fep go-annotated cdna recursive hypergeometric

• A modular analysis framework for blood genomics studies: application to systemic lupus erythematosus.

  PMID 18631455 · PMC2727981 · Immunity · 2008 · 7 claims · 8 setups

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  Transcriptional modules constructed from coordinately expressed genes across 8 diseases form stable, biologically coherent functional units

  pbmc genes monocytes original microarray literature stimulation

• BABELOMICS: a systems biology perspective in the functional annotation of genome-scale experiments.

  PMID 16845052 · PMC1538844 · Nucleic acids research · 2006 · 8 claims · 8 setups

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  Babelomics is presented as an updated, complete suite of web tools for functional analysis of genome-scale experiments with new and improved modules

  pre-selected pre-tabulated genes ranked kegg expression text-mining

• 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

• G2Cdb: the Genes to Cognition database.

  PMID 18984621 · PMC2686544 · Nucleic acids research · 2009 · 7 claims · 7 setups

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  G2Cdb integrates experimentally validated synapse proteome datasets with mouse/human genomic annotation, phenotype, and human disease data in a gene-centric database.

  brain nervous genome synaptic proteomic large-scale sequence

• An analysis of human microRNA and disease associations.

  PMID 18923704 · PMC2559869 · PloS one · 2008 · 8 claims · 8 setups

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  MicroRNAs tend to show similar dysfunctional evidence (both up- or both down-regulated) for diseases within the same disease cluster, and different dysfunctional evidence between different disease clusters.

  literature-derived diseases mirnas mirna literature bipartite mirna

• FatiGO +: a functional profiling tool for genomic data. Integration of functional annotation, regulatory motifs and interaction data with microarray experiments.

  PMID 17478504 · PMC1933151 · Nucleic acids research · 2007 · 8 claims · 8 setups

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  FatiGO+ is a web-based tool for functional profiling of genome-scale experiments that integrates functional annotation, regulatory motifs and interaction data

  user-supplied gene predicted interactome gene kegg transcription