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RepetDB: a unified resource for transposable element references
BACKGROUND: Thanks to their ability to move around and replicate within genomes, transposable elements (TEs) are perhaps the most important contributors to genome plasticity and evolution. Their detection and annotation are considered essential in any genome sequencing project. The number of fully s...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6350395/ https://www.ncbi.nlm.nih.gov/pubmed/30719103 http://dx.doi.org/10.1186/s13100-019-0150-y |
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author | Amselem, Joëlle Cornut, Guillaume Choisne, Nathalie Alaux, Michael Alfama-Depauw, Françoise Jamilloux, Véronique Maumus, Florian Letellier, Thomas Luyten, Isabelle Pommier, Cyril Adam-Blondon, Anne-Françoise Quesneville, Hadi |
author_facet | Amselem, Joëlle Cornut, Guillaume Choisne, Nathalie Alaux, Michael Alfama-Depauw, Françoise Jamilloux, Véronique Maumus, Florian Letellier, Thomas Luyten, Isabelle Pommier, Cyril Adam-Blondon, Anne-Françoise Quesneville, Hadi |
author_sort | Amselem, Joëlle |
collection | PubMed |
description | BACKGROUND: Thanks to their ability to move around and replicate within genomes, transposable elements (TEs) are perhaps the most important contributors to genome plasticity and evolution. Their detection and annotation are considered essential in any genome sequencing project. The number of fully sequenced genomes is rapidly increasing with improvements in high-throughput sequencing technologies. A fully automated de novo annotation process for TEs is therefore required to cope with the deluge of sequence data. However, all automated procedures are error-prone, and an automated procedure for TE identification and classification would be no exception. It is therefore crucial to provide not only the TE reference sequences, but also evidence justifying their classification, at the scale of the whole genome. A few TE databases already exist, but none provides evidence to justify TE classification. Moreover, biological information about the sequences remains globally poor. RESULTS: We present here the RepetDB database developed in the framework of GnpIS, a genetic and genomic information system. RepetDB is designed to store and retrieve detected, classified and annotated TEs in a standardized manner. RepetDB is an implementation with extensions of InterMine, an open-source data warehouse framework used here to store, search, browse, analyze and compare all the data recorded for each TE reference sequence. InterMine can display diverse information for each sequence and allows simple to very complex queries. Finally, TE data are displayed via a worldwide data discovery portal. RepetDB is accessible at urgi.versailles.inra.fr/repetdb. CONCLUSIONS: RepetDB is designed to be a TE knowledge base populated with full de novo TE annotations of complete (or near-complete) genome sequences. Indeed, the description and classification of TEs facilitates the exploration of specific TE families, superfamilies or orders across a large range of species. It also makes possible cross-species searches and comparisons of TE family content between genomes. |
format | Online Article Text |
id | pubmed-6350395 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63503952019-02-04 RepetDB: a unified resource for transposable element references Amselem, Joëlle Cornut, Guillaume Choisne, Nathalie Alaux, Michael Alfama-Depauw, Françoise Jamilloux, Véronique Maumus, Florian Letellier, Thomas Luyten, Isabelle Pommier, Cyril Adam-Blondon, Anne-Françoise Quesneville, Hadi Mob DNA Software BACKGROUND: Thanks to their ability to move around and replicate within genomes, transposable elements (TEs) are perhaps the most important contributors to genome plasticity and evolution. Their detection and annotation are considered essential in any genome sequencing project. The number of fully sequenced genomes is rapidly increasing with improvements in high-throughput sequencing technologies. A fully automated de novo annotation process for TEs is therefore required to cope with the deluge of sequence data. However, all automated procedures are error-prone, and an automated procedure for TE identification and classification would be no exception. It is therefore crucial to provide not only the TE reference sequences, but also evidence justifying their classification, at the scale of the whole genome. A few TE databases already exist, but none provides evidence to justify TE classification. Moreover, biological information about the sequences remains globally poor. RESULTS: We present here the RepetDB database developed in the framework of GnpIS, a genetic and genomic information system. RepetDB is designed to store and retrieve detected, classified and annotated TEs in a standardized manner. RepetDB is an implementation with extensions of InterMine, an open-source data warehouse framework used here to store, search, browse, analyze and compare all the data recorded for each TE reference sequence. InterMine can display diverse information for each sequence and allows simple to very complex queries. Finally, TE data are displayed via a worldwide data discovery portal. RepetDB is accessible at urgi.versailles.inra.fr/repetdb. CONCLUSIONS: RepetDB is designed to be a TE knowledge base populated with full de novo TE annotations of complete (or near-complete) genome sequences. Indeed, the description and classification of TEs facilitates the exploration of specific TE families, superfamilies or orders across a large range of species. It also makes possible cross-species searches and comparisons of TE family content between genomes. BioMed Central 2019-01-29 /pmc/articles/PMC6350395/ /pubmed/30719103 http://dx.doi.org/10.1186/s13100-019-0150-y Text en © The Author(s). 2019 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 | Software Amselem, Joëlle Cornut, Guillaume Choisne, Nathalie Alaux, Michael Alfama-Depauw, Françoise Jamilloux, Véronique Maumus, Florian Letellier, Thomas Luyten, Isabelle Pommier, Cyril Adam-Blondon, Anne-Françoise Quesneville, Hadi RepetDB: a unified resource for transposable element references |
title | RepetDB: a unified resource for transposable element references |
title_full | RepetDB: a unified resource for transposable element references |
title_fullStr | RepetDB: a unified resource for transposable element references |
title_full_unstemmed | RepetDB: a unified resource for transposable element references |
title_short | RepetDB: a unified resource for transposable element references |
title_sort | repetdb: a unified resource for transposable element references |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6350395/ https://www.ncbi.nlm.nih.gov/pubmed/30719103 http://dx.doi.org/10.1186/s13100-019-0150-y |
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