title: BioIE: extracting informative sentences from the biomedical literature.
abstract: CONCLUSIONS
  BioIE is a rule-based system that extracts informative sentences relating to protein families, their structures, functions and diseases from the biomedical literaturE. Based on manual definition of templates and rules, it aims at precise sentence extraction rather than wide recall. After uploading source text or retrieving abstracts from MEDLINE, users can extract sentences based on predefined or user-defined template categories. BioIE also provides a brief insight into the syntactic and semantic context of the source-text by looking at word, N-gram and MeSH-term distributions. Important Applications of BioIE are in, for example, annotation of microarray data and of protein databases.
  
  
  BACKGROUND
  http://umber.sbs.man.ac.uk/dbbrowser/bioie/
authors.affiliation: Faculty of Life Sciences and School of Computer Science, University of Manchester, UK. divoli@bioinf.man.ac.uk
authors.forename: Anna
authors.initials: A
authors.lastname: Divoli
authors.forename: Teresa K
authors.initials: TK
authors.lastname: Attwood
mesh_terms: D003628:Database Management Systems; D004282:Documentation / Q000379:methods; D016247:Information Storage and Retrieval / Q000379:methods*; D016239:MEDLINE; D009323:Natural Language Processing; D010506:Periodicals as Topic; D011506:Proteins / Q000737:chemistry* / Q000145:classification / Q000378:metabolism*; D040901:Proteomics / Q000379:methods; D012984:Software; D014584:User-Computer Interface; D018875:Vocabulary, Controlled
chemical_list: D011506:Proteins