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Inferring transposons activity chronology by TRANScendence – TEs database and de-novo mining tool
BACKGROUND: The constant progress in sequencing technology leads to ever increasing amounts of genomic data. In the light of current evidence transposable elements (TEs for short) are becoming useful tools for learning about the evolution of host genome. Therefore the software for genome-wide detect...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5657132/ https://www.ncbi.nlm.nih.gov/pubmed/29072141 http://dx.doi.org/10.1186/s12859-017-1824-4 |
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author | Startek, Michał Piotr Nogły, Jakub Gromadka, Agnieszka Grzebelus, Dariusz Gambin, Anna |
author_facet | Startek, Michał Piotr Nogły, Jakub Gromadka, Agnieszka Grzebelus, Dariusz Gambin, Anna |
author_sort | Startek, Michał Piotr |
collection | PubMed |
description | BACKGROUND: The constant progress in sequencing technology leads to ever increasing amounts of genomic data. In the light of current evidence transposable elements (TEs for short) are becoming useful tools for learning about the evolution of host genome. Therefore the software for genome-wide detection and analysis of TEs is of great interest. RESULTS: Here we describe the computational tool for mining, classifying and storing TEs from newly sequenced genomes. This is an online, web-based, user-friendly service, enabling users to upload their own genomic data, and perform de-novo searches for TEs. The detected TEs are automatically analyzed, compared to reference databases, annotated, clustered into families, and stored in TEs repository. Also, the genome-wide nesting structure of found elements are detected and analyzed by new method for inferring evolutionary history of TEs. We illustrate the functionality of our tool by performing a full-scale analyses of TE landscape in Medicago truncatula genome. CONCLUSIONS: TRANScendence is an effective tool for the de-novo annotation and classification of transposable elements in newly-acquired genomes. Its streamlined interface makes it well-suited for evolutionary studies. |
format | Online Article Text |
id | pubmed-5657132 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-56571322017-10-31 Inferring transposons activity chronology by TRANScendence – TEs database and de-novo mining tool Startek, Michał Piotr Nogły, Jakub Gromadka, Agnieszka Grzebelus, Dariusz Gambin, Anna BMC Bioinformatics Research BACKGROUND: The constant progress in sequencing technology leads to ever increasing amounts of genomic data. In the light of current evidence transposable elements (TEs for short) are becoming useful tools for learning about the evolution of host genome. Therefore the software for genome-wide detection and analysis of TEs is of great interest. RESULTS: Here we describe the computational tool for mining, classifying and storing TEs from newly sequenced genomes. This is an online, web-based, user-friendly service, enabling users to upload their own genomic data, and perform de-novo searches for TEs. The detected TEs are automatically analyzed, compared to reference databases, annotated, clustered into families, and stored in TEs repository. Also, the genome-wide nesting structure of found elements are detected and analyzed by new method for inferring evolutionary history of TEs. We illustrate the functionality of our tool by performing a full-scale analyses of TE landscape in Medicago truncatula genome. CONCLUSIONS: TRANScendence is an effective tool for the de-novo annotation and classification of transposable elements in newly-acquired genomes. Its streamlined interface makes it well-suited for evolutionary studies. BioMed Central 2017-10-16 /pmc/articles/PMC5657132/ /pubmed/29072141 http://dx.doi.org/10.1186/s12859-017-1824-4 Text en © The Author(s) 2017 Open Access This 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 | Research Startek, Michał Piotr Nogły, Jakub Gromadka, Agnieszka Grzebelus, Dariusz Gambin, Anna Inferring transposons activity chronology by TRANScendence – TEs database and de-novo mining tool |
title | Inferring transposons activity chronology by TRANScendence – TEs database and de-novo mining tool |
title_full | Inferring transposons activity chronology by TRANScendence – TEs database and de-novo mining tool |
title_fullStr | Inferring transposons activity chronology by TRANScendence – TEs database and de-novo mining tool |
title_full_unstemmed | Inferring transposons activity chronology by TRANScendence – TEs database and de-novo mining tool |
title_short | Inferring transposons activity chronology by TRANScendence – TEs database and de-novo mining tool |
title_sort | inferring transposons activity chronology by transcendence – tes database and de-novo mining tool |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5657132/ https://www.ncbi.nlm.nih.gov/pubmed/29072141 http://dx.doi.org/10.1186/s12859-017-1824-4 |
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