2008
DOI: 10.1186/1471-2105-9-18
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LTRharvest, an efficient and flexible software for de novo detection of LTR retrotransposons

Abstract: Background: Transposable elements are abundant in eukaryotic genomes and it is believed that they have a significant impact on the evolution of gene and chromosome structure. While there are several completed eukaryotic genome projects, there are only few high quality genome wide annotations of transposable elements. Therefore, there is a considerable demand for computational identification of transposable elements. LTR retrotransposons, an important subclass of transposable elements, are well suited for compu… Show more

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Cited by 1,291 publications
(1,124 citation statements)
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References 26 publications
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“…The REPET de novo pipeline was run using genome self-alignment as well as a search for structural features using LTRHarvest 83 . Consensus sequences were clustered using Piler v1.0 84 , Recon 1.08 85 and Grouper 86 and classified using PASTEC 82 .…”
Section: Nature Ecology and Evolutionmentioning
confidence: 99%
“…The REPET de novo pipeline was run using genome self-alignment as well as a search for structural features using LTRHarvest 83 . Consensus sequences were clustered using Piler v1.0 84 , Recon 1.08 85 and Grouper 86 and classified using PASTEC 82 .…”
Section: Nature Ecology and Evolutionmentioning
confidence: 99%
“…Annotation of repeats. LTR-RTs were annotated with an in-house pipeline that uses LTRharvest 40 and LTRdigest 41 . DNA transposons were annotated with a custom pipeline that includes the 'gt tirvish' command, which is part of the GenomeTools suite 42 .…”
Section: Letter Research Methodsmentioning
confidence: 99%
“…A custom C. secundus and B. germanica repeat library was constructed using a combination of homology-based and de novo approaches, including RepeatModeler/RepeatClassifier (http://www.repeatmasker.org/ RepeatModeler/), LTRharvest/LTRdigest 59 and TransposonPSI (http:// transposonpsi.sourceforge.net/). The ab initio repeat library was complemented with the RepBase (update 29 August 2016) 60 and SINE repeat databases, filtered for redundancy with CD-hit and classified with RepeatClassifier.…”
Section: Methodsmentioning
confidence: 99%