METIS: multiple extraction techniques for informative sentences

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

doi:10.1093/bioinformatics/bti675

METIS: multiple extraction techniques for informative sentences

Bioinformatics. 2005 Nov 15;21(22):4196-7. doi: 10.1093/bioinformatics/bti675. Epub 2005 Sep 13.

Authors

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

Affiliation

¹ Faculty of Life Sciences and School of Computer Science, University of Manchester, UK. mitchell@ebi.ac.uk

PMID: 16159915
DOI: 10.1093/bioinformatics/bti675

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/

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Automation
Computational Biology / methods*
DNA / chemistry
Data Interpretation, Statistical
Database Management Systems
Databases, Factual
Databases, Protein
Electronic Data Processing
Information Storage and Retrieval
Internet
Language
Natural Language Processing
Programming Languages
Proteins
Sequence Alignment
Sequence Analysis, Protein
Software
User-Computer Interface

Substances

Proteins
DNA