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Bioinformatics Advance Access published online on April 5, 2009
Bioinformatics, doi:10.1093/bioinformatics/btp084
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© The Author (2009). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

TEclass – a tool for automated classification of unknown eukaryotic transposable elements

György Abrusán 1,2,*, Norbert Grundmann 2, Luc DeMester 1 and Wojciech Makalowski 1

1Katholieke Universiteit Leuven, Department of Biology, Laboratory of Aquatic Ecology and Evolutionary Biology, Ch. Deberiotstraat 32, 3000 Leuven, Belgium
2University of Münster, Faculty of Medicine, Institute of Bioinformatics, Von-Esmarch-Str. 54, D-48149 Münster, Germany

*To whom correspondence should be addressed. Dr. Gyorgy Abrusan, E-mail: abrusan{at}uni-muenster.de


  Abstract

Motivation: The large number of sequenced genomes required the development of software that reconstructs the consensus sequences of transposons and other repetitive elements. However, the available tools usually focus on the accurate identification of raw repeats and provide no information about the taxonomic position of the reconstructed consensi. TEclass is a tool to classify unknown transposable elements into their four main functional categories, which reflect their mode of transposition: DNA transposons, LTR repeats, LINEs and SINEs. TEclass uses machine learning (SVM) for classification based on oligomer frequencies. It achieves 90-97% accuracy in the classification of novel DNA and LTR repeats, and 75% for LINEs and SINEs.

Availability: http://www.compgen.uni-muenster.de/teclass, stand alone program upon request

Associate Editor: Dr. Alex Bateman

Received on December 1, 2008; revised on January 31, 2009; accepted on February 9, 2009

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