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A text-mining-assisted workflow to systematically extract knowledge about regulatory interactions between human TFs from the biological literature. This workflow was applied to the entire Medline, which helped us to identify more than 45 000 sentences potentially describing such relationships. Currently, this database contains 303 transcription factors and 226 genetic targets with 1,066 interactions curated out of 548 papers.

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  • Philippe Thomas


Humboldt-Universit├Ąt zu Berlin, Institute for Computer Science, Knowledge Management in Bioinformatics, 10099 Berlin, Germany

  • (Thomas et al., 2014) Computer-assisted curation of a human regulatory core network from the biological literature. Bioinformatics.
    PMID: 25433699
  • Animals
    • Homo sapiens

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