METIS: multiple extraction techniques for informative sentences

  • Authors:

  • A. L. Mitchell;A. Divoli;J.-H. Kim;M. Hilario;I. Selimas;T. K. Attwood

  • Affiliations:

  • Faculty of Life Sciences and School of Computer Science, University of Manchester Oxford Road, Manchester M13 9PT, UK;Faculty of Life Sciences and School of Computer Science, University of Manchester Oxford Road, Manchester M13 9PT, UK;Artificial Intelligence Laboratory, University of Geneva CH-1211 Geneva 4, Switzerland;Artificial Intelligence Laboratory, University of Geneva CH-1211 Geneva 4, Switzerland;Faculty of Life Sciences and School of Computer Science, University of Manchester Oxford Road, Manchester M13 9PT, UK;Faculty of Life Sciences and School of Computer Science, University of Manchester Oxford Road, Manchester M13 9PT, UK

  • Venue:
  • Bioinformatics
  • Year:
  • 2005

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Abstract

Summary: 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. Availability: http://umber.sbs.man.ac.uk/dbbrowser/metis/ Contact: mitchell@ebi.ac.uk Supplementary information: http://umber.sbs.man.ac.uk/dbbrowser/metis/supp_inf_results.html