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Transposable element detection from whole genome sequence data

The number of software tools available for detecting transposable element insertions from whole genome sequence data has been increasing steadily throughout the last ~5 years. Some of these methods have unique features suiting them for particular use cases, but in general they follow one or more of...

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Autor principal: Ewing, Adam D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4696183/
https://www.ncbi.nlm.nih.gov/pubmed/26719777
http://dx.doi.org/10.1186/s13100-015-0055-3
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author Ewing, Adam D.
author_facet Ewing, Adam D.
author_sort Ewing, Adam D.
collection PubMed
description The number of software tools available for detecting transposable element insertions from whole genome sequence data has been increasing steadily throughout the last ~5 years. Some of these methods have unique features suiting them for particular use cases, but in general they follow one or more of a common set of approaches. Here, detection and filtering approaches are reviewed in the light of transposable element biology and the current state of whole genome sequencing. We demonstrate that the current state-of-the-art methods still do not produce highly concordant results and provide resources to assist future development in transposable element detection methods. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13100-015-0055-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-46961832015-12-31 Transposable element detection from whole genome sequence data Ewing, Adam D. Mob DNA Review The number of software tools available for detecting transposable element insertions from whole genome sequence data has been increasing steadily throughout the last ~5 years. Some of these methods have unique features suiting them for particular use cases, but in general they follow one or more of a common set of approaches. Here, detection and filtering approaches are reviewed in the light of transposable element biology and the current state of whole genome sequencing. We demonstrate that the current state-of-the-art methods still do not produce highly concordant results and provide resources to assist future development in transposable element detection methods. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13100-015-0055-3) contains supplementary material, which is available to authorized users. BioMed Central 2015-12-29 /pmc/articles/PMC4696183/ /pubmed/26719777 http://dx.doi.org/10.1186/s13100-015-0055-3 Text en © Ewing. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Ewing, Adam D.
Transposable element detection from whole genome sequence data
title Transposable element detection from whole genome sequence data
title_full Transposable element detection from whole genome sequence data
title_fullStr Transposable element detection from whole genome sequence data
title_full_unstemmed Transposable element detection from whole genome sequence data
title_short Transposable element detection from whole genome sequence data
title_sort transposable element detection from whole genome sequence data
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4696183/
https://www.ncbi.nlm.nih.gov/pubmed/26719777
http://dx.doi.org/10.1186/s13100-015-0055-3
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