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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2015
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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. |
format | Online Article Text |
id | pubmed-4696183 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT ewingadamd transposableelementdetectionfromwholegenomesequencedata |