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RNAbrowse: RNA-Seq De Novo Assembly Results Browser
Transcriptome analysis based on a de novo assembly of next generation RNA sequences is now performed routinely in many laboratories. The generated results, including contig sequences, quantification figures, functional annotations and variation discovery outputs are usually bulky and quite diverse....
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4019526/ https://www.ncbi.nlm.nih.gov/pubmed/24823498 http://dx.doi.org/10.1371/journal.pone.0096821 |
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author | Mariette, Jérôme Noirot, Céline Nabihoudine, Ibounyamine Bardou, Philippe Hoede, Claire Djari, Anis Cabau, Cédric Klopp, Christophe |
author_facet | Mariette, Jérôme Noirot, Céline Nabihoudine, Ibounyamine Bardou, Philippe Hoede, Claire Djari, Anis Cabau, Cédric Klopp, Christophe |
author_sort | Mariette, Jérôme |
collection | PubMed |
description | Transcriptome analysis based on a de novo assembly of next generation RNA sequences is now performed routinely in many laboratories. The generated results, including contig sequences, quantification figures, functional annotations and variation discovery outputs are usually bulky and quite diverse. This article presents a user oriented storage and visualisation environment permitting to explore the data in a top-down manner, going from general graphical views to all possible details. The software package is based on biomart, easy to install and populate with local data. The software package is available under the GNU General Public License (GPL) at http://bioinfo.genotoul.fr/RNAbrowse. |
format | Online Article Text |
id | pubmed-4019526 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-40195262014-05-16 RNAbrowse: RNA-Seq De Novo Assembly Results Browser Mariette, Jérôme Noirot, Céline Nabihoudine, Ibounyamine Bardou, Philippe Hoede, Claire Djari, Anis Cabau, Cédric Klopp, Christophe PLoS One Research Article Transcriptome analysis based on a de novo assembly of next generation RNA sequences is now performed routinely in many laboratories. The generated results, including contig sequences, quantification figures, functional annotations and variation discovery outputs are usually bulky and quite diverse. This article presents a user oriented storage and visualisation environment permitting to explore the data in a top-down manner, going from general graphical views to all possible details. The software package is based on biomart, easy to install and populate with local data. The software package is available under the GNU General Public License (GPL) at http://bioinfo.genotoul.fr/RNAbrowse. Public Library of Science 2014-05-13 /pmc/articles/PMC4019526/ /pubmed/24823498 http://dx.doi.org/10.1371/journal.pone.0096821 Text en © 2014 Mariette et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Mariette, Jérôme Noirot, Céline Nabihoudine, Ibounyamine Bardou, Philippe Hoede, Claire Djari, Anis Cabau, Cédric Klopp, Christophe RNAbrowse: RNA-Seq De Novo Assembly Results Browser |
title | RNAbrowse: RNA-Seq De Novo Assembly Results Browser |
title_full | RNAbrowse: RNA-Seq De Novo Assembly Results Browser |
title_fullStr | RNAbrowse: RNA-Seq De Novo Assembly Results Browser |
title_full_unstemmed | RNAbrowse: RNA-Seq De Novo Assembly Results Browser |
title_short | RNAbrowse: RNA-Seq De Novo Assembly Results Browser |
title_sort | rnabrowse: rna-seq de novo assembly results browser |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4019526/ https://www.ncbi.nlm.nih.gov/pubmed/24823498 http://dx.doi.org/10.1371/journal.pone.0096821 |
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