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Bioinformatics Advance Access published online on September 13, 2005
Bioinformatics, 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@oxfordjournals.org
Received June 29, 2005
Revised August 31, 2005
Accepted September 8, 2005

Applications note

METIS: multiple extraction techniques for informative sentences

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

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

* To whom correspondence should be addressed.
A. L. Mitchell, E-mail: mitchell{at}ebi.ac.uk


  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/.

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


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[Abstract] [Full Text] [PDF]


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