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Cited by 258

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Discovering and detecting transposable elements in genome sequences

Open access
Bergman, C. M., Quesneville, H.·2007·Briefings in Bioinformatics

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 annotate TEs in the post-genomic era, covering both the discovery of new TE 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 visualization of multiple approaches and the development of new conceptual representations for TE annotation will further advance the computational analysis of this dynamic component of the genome.

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Metadata

Authors
Bergman, C. M., & Quesneville, H.
Venue
Briefings in Bioinformatics
Published
2007-05-04
Volume
8
Issue
6
Pages
382-392
ISSN
  • 1467-5463 (ISSN-L)
  • 1477-4054
OpenAlex
W2129581281
Cited by
258
References
7
FWCI
9.63
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Discovering and detecting transposable elements in genome sequences. https://app.cochat.ai/papers/10.1093/bib/bbm048
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Bergman, C. M., & Quesneville, H. (2007). Discovering and detecting transposable elements in genome sequences. Briefings in Bioinformatics. https://doi.org/10.1093/bib/bbm048

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.