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).

• Analysis of protein sequence and interaction data for candidate disease gene prediction.

  PMID 17020920 · PMC1636487 · Nucleic acids research · 2006 · 8 claims · 7 setups

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  Combining CPS and CMP using known disease genes as input achieves sensitivity 0.52 and specificity 0.97, reducing candidate lists 13-fold

  ophid biocarta kegg pfam-annotated common benchmarking multiple-interval

• miRGator: an integrated system for functional annotation of microRNAs.

  PMID 17942429 · PMC2238850 · Nucleic acids research · 2008 · 8 claims · 8 setups

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  miRGator integrates target prediction, functional enrichment analysis (GO/pathway/disease), and expression data (miRNA/mRNA/protein) into one system for functional annotation of miRNAs

  genome predicted tissues organs computational functional mirna

• Babelomics: advanced functional profiling of transcriptomics, proteomics and genomics experiments.

  PMID 18515841 · PMC2447758 · Nucleic acids research · 2008 · 8 claims · 5 setups

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  Babelomics is a web suite offering both conventional functional enrichment methods and more advanced gene set analysis (GSA) methods, a combination offered by only one other tool (FuncAssociate) among competitors.

  user-supplied ranked gene fasta-formatted functional gene novo

• pSTIING: a 'systems' approach towards integrating signalling pathways, interaction and transcriptional regulatory networks in inflammation and cancer.

  PMID 16381926 · PMC1347407 · Nucleic acids research · 2006 · 8 claims · 3 setups

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  pSTIING is a publicly accessible web-based knowledgebase integrating protein-protein, protein-lipid, protein-small molecule interactions, transcriptional regulatory associations, ligand-receptor-cell type information, and signal transduction modules, with a focus on inflammation, cell migration and cancer.

  model gene molecular sequence clustering literature