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).

• Systematic assessment of pathway databases, based on a diverse collection of user-submitted experiments.

  PMID 36088548 · PMC9487593 · Briefings in bioinformatics · 2022 · 8 claims · 6 setups

  Has reproduction · 94

  Well-established, hierarchically organized pathway annotation systems (e.g. GO, Reactome, KEGG) yield the best overall enrichment performance despite covering much of the human genome only in general terms.

  user-submitted string pubmed protein-coding gene hierarchical text-mining

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

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

  Full-text index only

  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

• 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

  Full-text index only

  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

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

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

  Full-text index only

  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

• 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

  Full-text index only

  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