title: Applying GIFT, a Gene Interactions Finder in Text, to fly literature.
abstract: A number of freely available text mining tools have been put together to extract highly reliable Drosophila gene interaction data from text. The system has been tested with The Interactive Fly, showing low recall (27-34%), but very high precision (93-97%).
  
  
  BACKGROUND
  The extracted data and a web interface for submission of texts to GIFT analysis are available at http://gift.cryst.bbk.ac.uk/gift
  
  
  BACKGROUND
  n.domedel_puig@cryst.bbk.ac.uk
  
  
  BACKGROUND
  Additional documentation, such as the dictionaries and the reference sets, are available at the GIFT website.
authors: School of Crystallography, Birkbeck College, University of London, Malet Street, London WC1E 7HX, UK. n.domedel_puig@cryst.bbk.ac.uk
authors: Núria
authors: N
authors: Domedel-Puig
authors: Lorenz
authors: L
authors: Wernisch
mesh_terms: D001185:Artificial Intelligence; D003628:Database Management Systems; D016206:Databases, Bibliographic; D030541:Databases, Genetic; D029721:Drosophila Proteins / Q000737:chemistry / Q000235:genetics / Q000378:metabolism*; D009323:Natural Language Processing; D010506:Periodicals as Topic; D025941:Protein Interaction Mapping / Q000379:methods*
chemical_list: D029721:Drosophila Proteins