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RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics

Recent rapid advances in next generation RNA sequencing (RNA-Seq)-based provide researchers with unprecedentedly large data sets and open new perspectives in transcriptomics. Furthermore, RNA-Seq-based transcript profiling can be applied to non-model and newly discovered organisms because it does no...

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Detalles Bibliográficos
Autores principales: Lohse, Marc, Bolger, Anthony M., Nagel, Axel, Fernie, Alisdair R., Lunn, John E., Stitt, Mark, Usadel, Björn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394330/
https://www.ncbi.nlm.nih.gov/pubmed/22684630
http://dx.doi.org/10.1093/nar/gks540
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author Lohse, Marc
Bolger, Anthony M.
Nagel, Axel
Fernie, Alisdair R.
Lunn, John E.
Stitt, Mark
Usadel, Björn
author_facet Lohse, Marc
Bolger, Anthony M.
Nagel, Axel
Fernie, Alisdair R.
Lunn, John E.
Stitt, Mark
Usadel, Björn
author_sort Lohse, Marc
collection PubMed
description Recent rapid advances in next generation RNA sequencing (RNA-Seq)-based provide researchers with unprecedentedly large data sets and open new perspectives in transcriptomics. Furthermore, RNA-Seq-based transcript profiling can be applied to non-model and newly discovered organisms because it does not require a predefined measuring platform (like e.g. microarrays). However, these novel technologies pose new challenges: the raw data need to be rigorously quality checked and filtered prior to analysis, and proper statistical methods have to be applied to extract biologically relevant information. Given the sheer volume of data, this is no trivial task and requires a combination of considerable technical resources along with bioinformatics expertise. To aid the individual researcher, we have developed RobiNA as an integrated solution that consolidates all steps of RNA-Seq-based differential gene-expression analysis in one user-friendly cross-platform application featuring a rich graphical user interface. RobiNA accepts raw FastQ files, SAM/BAM alignment files and counts tables as input. It supports quality checking, flexible filtering and statistical analysis of differential gene expression based on state-of-the art biostatistical methods developed in the R/Bioconductor projects. In-line help and a step-by-step manual guide users through the analysis. Installer packages for Mac OS X, Windows and Linux are available under the LGPL licence from http://mapman.gabipd.org/web/guest/robin.
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spelling pubmed-33943302012-07-30 RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics Lohse, Marc Bolger, Anthony M. Nagel, Axel Fernie, Alisdair R. Lunn, John E. Stitt, Mark Usadel, Björn Nucleic Acids Res Stand Alone Programs Recent rapid advances in next generation RNA sequencing (RNA-Seq)-based provide researchers with unprecedentedly large data sets and open new perspectives in transcriptomics. Furthermore, RNA-Seq-based transcript profiling can be applied to non-model and newly discovered organisms because it does not require a predefined measuring platform (like e.g. microarrays). However, these novel technologies pose new challenges: the raw data need to be rigorously quality checked and filtered prior to analysis, and proper statistical methods have to be applied to extract biologically relevant information. Given the sheer volume of data, this is no trivial task and requires a combination of considerable technical resources along with bioinformatics expertise. To aid the individual researcher, we have developed RobiNA as an integrated solution that consolidates all steps of RNA-Seq-based differential gene-expression analysis in one user-friendly cross-platform application featuring a rich graphical user interface. RobiNA accepts raw FastQ files, SAM/BAM alignment files and counts tables as input. It supports quality checking, flexible filtering and statistical analysis of differential gene expression based on state-of-the art biostatistical methods developed in the R/Bioconductor projects. In-line help and a step-by-step manual guide users through the analysis. Installer packages for Mac OS X, Windows and Linux are available under the LGPL licence from http://mapman.gabipd.org/web/guest/robin. Oxford University Press 2012-07 2012-06-08 /pmc/articles/PMC3394330/ /pubmed/22684630 http://dx.doi.org/10.1093/nar/gks540 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Stand Alone Programs
Lohse, Marc
Bolger, Anthony M.
Nagel, Axel
Fernie, Alisdair R.
Lunn, John E.
Stitt, Mark
Usadel, Björn
RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics
title RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics
title_full RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics
title_fullStr RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics
title_full_unstemmed RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics
title_short RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics
title_sort robina: a user-friendly, integrated software solution for rna-seq-based transcriptomics
topic Stand Alone Programs
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394330/
https://www.ncbi.nlm.nih.gov/pubmed/22684630
http://dx.doi.org/10.1093/nar/gks540
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