Literature DB >> 16159915

METIS: multiple extraction techniques for informative sentences.

A L Mitchell1, A Divoli, J-H Kim, M Hilario, I Selimas, T K Attwood.   

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/

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Year:  2005        PMID: 16159915     DOI: 10.1093/bioinformatics/bti675

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

1.  The PRINTS database: a fine-grained protein sequence annotation and analysis resource--its status in 2012.

Authors:  Teresa K Attwood; Alain Coletta; Gareth Muirhead; Athanasia Pavlopoulou; Peter B Philippou; Ivan Popov; Carlos Romá-Mateo; Athina Theodosiou; Alex L Mitchell
Journal:  Database (Oxford)       Date:  2012-04-15       Impact factor: 3.451

2.  GeneReporter--sequence-based document retrieval and annotation.

Authors:  Annekathrin Bartsch; Boyke Bunk; Isam Haddad; Johannes Klein; Richard Münch; Thorsten Johl; Uwe Kärst; Lothar Jänsch; Dieter Jahn; Ida Retter
Journal:  Bioinformatics       Date:  2011-02-09       Impact factor: 6.937

3.  PubServer: literature searches by homology.

Authors:  Lukasz Jaroszewski; Laszlo Koska; Mayya Sedova; Adam Godzik
Journal:  Nucleic Acids Res       Date:  2014-06-23       Impact factor: 16.971

4.  The High Throughput Sequence Annotation Service (HT-SAS) - the shortcut from sequence to true Medline words.

Authors:  Szymon Kaczanowski; Pawel Siedlecki; Piotr Zielenkiewicz
Journal:  BMC Bioinformatics       Date:  2009-05-16       Impact factor: 3.169

Review 5.  Linking genes to literature: text mining, information extraction, and retrieval applications for biology.

Authors:  Martin Krallinger; Alfonso Valencia; Lynette Hirschman
Journal:  Genome Biol       Date:  2008-09-01       Impact factor: 13.583

  5 in total

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