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METIS: multiple extraction techniques for informative sentences

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

In: Bioinformatics, 2005, vol. 21, no. 22, p. 4196-4197

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    Titel
    • METIS: multiple extraction techniques for informative sentences
    Autor
    • Mitchell, A. L.. Faculty of Life Sciences and School of Computer Science, University of Manchester Oxford Road, Manchester M13 9PT, UK
    • Divoli, A.. Faculty of Life Sciences and School of Computer Science, University of Manchester Oxford Road, Manchester M13 9PT, UK
    • Kim, J.-H. Artificial Intelligence Laboratory, University of Geneva CH-1211 Geneva 4, Switzerland
    • Hilario, M.. Artificial Intelligence Laboratory, University of Geneva CH-1211 Geneva 4, Switzerland
    • Selimas, I.. Faculty of Life Sciences and School of Computer Science, University of Manchester Oxford Road, Manchester M13 9PT, UK
    • Attwood, T. K.. Faculty of Life Sciences and School of Computer Science, University of Manchester Oxford Road, Manchester M13 9PT, UK
    Dokumententyp
    • Postprint
    OAI-PMH-ID
    • oai:doc.rero.ch:289272
    Summary
    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: Contact: mitchell@ebi.ac.uk Supplementary information