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Discovering and detecting transposable elements in genome sequences
Discovering and detecting transposable
elements in genome sequences
Casey M. Bergman and Hadi Quesneville
Submitted: 16th July 2007; Received (in revised form): 17th September 2007
Abstract
The contribution of transposable elements (TEs) to genome structure and evolution as well as their impact
on genome sequencing, assembly, annotation and alignment has generated increasing interest in developing new
methods for their computational analysis. Here we review the diversity of innovative approaches to identify and
annotateTEs in the post-genomic era, covering both the discovery of newTE families and the detection of individual
TE copies in genome sequences.These approaches span a broad spectrum in computational biology including de novo,
homology-based, structure-based and comparative genomic methods.We conclude that the integration and visuali-
zation of multiple approaches and the development of new conceptual representations forTE annotation will further
advance the computational analysis of this dynamic component of the genome.
Keywords: transposable element; genome annotation; repetitive DNA; bioinformatics
INTRODUCTION
Transposable elements (TEs) are a widespread class of
repetitive sequences that can be viewed largely as
‘selfish’ intragenomic parasitic sequences [1, 2].
Owing to their ability to undergo replicative
transposition via an RNA or DNA intermediate,
TEs can increase in copy number to occupy large
fractions of genome sequences, especially in higher
eukaryotes. For example,25% and45% of the rice
and human genome sequences, respectively, are
estimated to be TE in origin [3, 4]. Aside from their
unique modes of replication and sheer abundance,
TEs are important biological entities for study because
of their roles in genome structure [5], genome size [6],
genome rearrangement [7] and contribution to host
gene [7, 8] and regulatory evolution [8].
More practically, the repetitive nature of TE
sequences poses fundamental challenges to genome
sequencing [9]
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