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Bioinformatics Advance Access originally published online on September 13, 2005
Bioinformatics 2005 21(22):4196-4197; doi:10.1093/bioinformatics/bti675
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© The Author 2005. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions{at}oxfordjournals.org

METIS: multiple extraction techniques for informative sentences

A. L. Mitchell 1,2,*, A. Divoli 1, J.-H. Kim 3, M. Hilario 3, I. Selimas 1 and T. K. Attwood 1,2

1Faculty of Life Sciences and School of Computer Science, University of Manchester Oxford Road, Manchester M13 9PT, UK
2European Bioinformatics Institute, Wellcome Trust Genome Campus Hinxton, Cambridge CB10 1SD, UK
3Artificial Intelligence Laboratory, University of Geneva CH-1211 Geneva 4, Switzerland

*To whom correspondence should be addressed.

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{at}ebi.ac.uk

Supplementary information: http://umber.sbs.man.ac.uk/dbbrowser/metis/supp_inf_results.html

Received on June 29, 2005; revised on August 31, 2005; accepted on September 8, 2005

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J.-H. Kim, A. Mitchell, T. K. Attwood, and M. Hilario
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Bioinformatics, July 1, 2007; 23(13): i256 - i263.
[Abstract] [Full Text] [PDF]


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