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1. Agarwal S, Yu H, Kohane I: BioNØT: a searchable database of biomedical negated sentences. BMC Bioinformatics; 2011 Oct 27;12:420
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  • [Source] The source of this record is MEDLINE®, a database of the U.S. National Library of Medicine.
  • [Title] BioNØT: a searchable database of biomedical negated sentences.
  • BACKGROUND: Negated biomedical events are often ignored by text-mining applications; however, such events carry scientific significance.
  • We report on the development of BioNØT, a database of negated sentences that can be used to extract such negated events.
  • DESCRIPTION: Currently BioNØT incorporates ≈32 million negated sentences, extracted from over 336 million biomedical sentences from three resources: ≈2 million full-text biomedical articles in Elsevier and the PubMed Central, as well as ≈20 million abstracts in PubMed.
  • We evaluated BioNØT on three important genetic disorders: autism, Alzheimer's disease and Parkinson's disease, and found that BioNØT is able to capture negated events that may be ignored by experts.
  • CONCLUSIONS: The BioNØT database can be a useful resource for biomedical researchers.
  • BioNØT is freely available at http://bionot.askhermes.org/.
  • In future work, we will develop semantic web related technologies to enrich BioNØT.

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  • [Copyright] © 2011 Agarwal et al; licensee BioMed Central Ltd.
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  • (PMID = 22032181.001).
  • [ISSN] 1471-2105
  • [Journal-full-title] BMC bioinformatics
  • [ISO-abbreviation] BMC Bioinformatics
  • [Language] ENG
  • [Grant] United States / NLM NIH HHS / LM / 5R01LM009836; United States / NLM NIH HHS / LM / 5R01LM010125
  • [Publication-type] Journal Article; Research Support, N.I.H., Extramural
  • [Publication-country] England
  • [Other-IDs] NLM/ PMC3225379
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