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DE-kupl: exhaustive capture of biological variation in RNA-seq data through k-mer decomposition

We introduce a k-mer-based computational protocol, DE-kupl, for capturing local RNA variation in a set of RNA-seq libraries, independently of a reference genome or transcriptome. DE-kupl extracts all k-mers with differential abundance directly from the raw data files. This enables the retrieval of v...

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Autores principales: Audoux, Jérôme, Philippe, Nicolas, Chikhi, Rayan, Salson, Mikaël, Gallopin, Mélina, Gabriel, Marc, Le Coz, Jérémy, Drouineau, Emilie, Commes, Thérèse, Gautheret, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5747171/
https://www.ncbi.nlm.nih.gov/pubmed/29284518
http://dx.doi.org/10.1186/s13059-017-1372-2
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author Audoux, Jérôme
Philippe, Nicolas
Chikhi, Rayan
Salson, Mikaël
Gallopin, Mélina
Gabriel, Marc
Le Coz, Jérémy
Drouineau, Emilie
Commes, Thérèse
Gautheret, Daniel
author_facet Audoux, Jérôme
Philippe, Nicolas
Chikhi, Rayan
Salson, Mikaël
Gallopin, Mélina
Gabriel, Marc
Le Coz, Jérémy
Drouineau, Emilie
Commes, Thérèse
Gautheret, Daniel
author_sort Audoux, Jérôme
collection PubMed
description We introduce a k-mer-based computational protocol, DE-kupl, for capturing local RNA variation in a set of RNA-seq libraries, independently of a reference genome or transcriptome. DE-kupl extracts all k-mers with differential abundance directly from the raw data files. This enables the retrieval of virtually all variation present in an RNA-seq data set. This variation is subsequently assigned to biological events or entities such as differential long non-coding RNAs, splice and polyadenylation variants, introns, repeats, editing or mutation events, and exogenous RNA. Applying DE-kupl to human RNA-seq data sets identified multiple types of novel events, reproducibly across independent RNA-seq experiments. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-017-1372-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-57471712018-01-03 DE-kupl: exhaustive capture of biological variation in RNA-seq data through k-mer decomposition Audoux, Jérôme Philippe, Nicolas Chikhi, Rayan Salson, Mikaël Gallopin, Mélina Gabriel, Marc Le Coz, Jérémy Drouineau, Emilie Commes, Thérèse Gautheret, Daniel Genome Biol Method We introduce a k-mer-based computational protocol, DE-kupl, for capturing local RNA variation in a set of RNA-seq libraries, independently of a reference genome or transcriptome. DE-kupl extracts all k-mers with differential abundance directly from the raw data files. This enables the retrieval of virtually all variation present in an RNA-seq data set. This variation is subsequently assigned to biological events or entities such as differential long non-coding RNAs, splice and polyadenylation variants, introns, repeats, editing or mutation events, and exogenous RNA. Applying DE-kupl to human RNA-seq data sets identified multiple types of novel events, reproducibly across independent RNA-seq experiments. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-017-1372-2) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-28 /pmc/articles/PMC5747171/ /pubmed/29284518 http://dx.doi.org/10.1186/s13059-017-1372-2 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 Method
Audoux, Jérôme
Philippe, Nicolas
Chikhi, Rayan
Salson, Mikaël
Gallopin, Mélina
Gabriel, Marc
Le Coz, Jérémy
Drouineau, Emilie
Commes, Thérèse
Gautheret, Daniel
DE-kupl: exhaustive capture of biological variation in RNA-seq data through k-mer decomposition
title DE-kupl: exhaustive capture of biological variation in RNA-seq data through k-mer decomposition
title_full DE-kupl: exhaustive capture of biological variation in RNA-seq data through k-mer decomposition
title_fullStr DE-kupl: exhaustive capture of biological variation in RNA-seq data through k-mer decomposition
title_full_unstemmed DE-kupl: exhaustive capture of biological variation in RNA-seq data through k-mer decomposition
title_short DE-kupl: exhaustive capture of biological variation in RNA-seq data through k-mer decomposition
title_sort de-kupl: exhaustive capture of biological variation in rna-seq data through k-mer decomposition
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5747171/
https://www.ncbi.nlm.nih.gov/pubmed/29284518
http://dx.doi.org/10.1186/s13059-017-1372-2
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