title: METIS: multiple extraction techniques for informative sentences.
abstract: CONCLUSIONS
  METIS is a web-based integrated annotation tool. From single query sequences, the PRECIS component allows users to generate structured protein family reports from sets of related Swiss-Prot entries. These reports may then be augmented with pertinent sentences extracted from online biomedical literature via support vector machine and rule-based sentence classification systems.
  
  
  BACKGROUND
  http://umber.sbs.man.ac.uk/dbbrowser/metis/
authors.affiliation: Faculty of Life Sciences and School of Computer Science, University of Manchester, UK. mitchell@ebi.ac.uk
authors.forename: A L
authors.initials: AL
authors.lastname: Mitchell
authors.forename: A
authors.initials: A
authors.lastname: Divoli
authors.forename: J-H
authors.initials: JH
authors.lastname: Kim
authors.forename: M
authors.initials: M
authors.lastname: Hilario
authors.forename: I
authors.initials: I
authors.lastname: Selimas
authors.forename: T K
authors.initials: TK
authors.lastname: Attwood
mesh_terms: D000465:Algorithms; D001331:Automation; D019295:Computational Biology / Q000379:methods*; D004247:DNA / Q000737:chemistry; D003627:Data Interpretation, Statistical; D003628:Database Management Systems; D016208:Databases, Factual; D030562:Databases, Protein; D001330:Electronic Data Processing; D016247:Information Storage and Retrieval; D020407:Internet; D007802:Language; D009323:Natural Language Processing; D011381:Programming Languages; D011506:Proteins; D016415:Sequence Alignment; D020539:Sequence Analysis, Protein; D012984:Software; D014584:User-Computer Interface
chemical_list: D011506:Proteins; D004247:DNA