2009
DOI: 10.1093/bioinformatics/btp084
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TEclass—a tool for automated classification of unknown eukaryotic transposable elements

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

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Cited by 299 publications
(221 citation statements)
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“…However, unlike tools like TEclass [54], which makes use of the profiles of frequent k -mers from the Repbase Update databank, our TE classifier guides output classification by detailing the precise TE features present on the analyzed sequences, such as terminal repeats and matches with known TEs. Our tool and REPclass [55] are very similar, but our TE classifier has several advantages.…”
Section: Discussionmentioning
confidence: 99%
“…However, unlike tools like TEclass [54], which makes use of the profiles of frequent k -mers from the Repbase Update databank, our TE classifier guides output classification by detailing the precise TE features present on the analyzed sequences, such as terminal repeats and matches with known TEs. Our tool and REPclass [55] are very similar, but our TE classifier has several advantages.…”
Section: Discussionmentioning
confidence: 99%
“…Low-complexity repeats and tandem repeats were removed as part of the RepeatScout algorithm, using Nseg (Wootton and Federhen, 1993) and Tandem Repeat Finder (Benson, 1999). TEclass, a tool for automated classification of unknown eukaryotic TEs (Abrusán et al, 2009), was run using a 2010/01/20 version of RepBase. The larger value was reported when RepeatMasker and TEclass predicted different counts for certain TE classes.…”
Section: Repeat Contentmentioning
confidence: 99%
“…Likewise, some programs specifically target the identification of tandem repeated features (e.g., microsatellites and minisatellites) [23,24]. When TE sequences have been identified and/or consensus sequences have been built, these libraries can be classified with devoted programs [25][26][27] and used as probes for sensitive alignment-based genome annotation using popular programs such as RepeatMasker [28] and Censor [29] or combiners such as TEannot from the REPET package [30].…”
Section: Te Proportion Explains Genome Size Variation In Insectsmentioning
confidence: 99%